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Purpose: This review demonstrates how to position Social Sciences Citation Index (SSCI) papers reasonably in order to promote the reform and development of the system for evaluating social sciences research (E-SSR) in China. Design/Approach/Methods: This review examines the contributions made by SSCI papers after such papers became a tool in the E-SSR system in Chinese universities, and the resultant issues. This review analyzes documents pertaining to the E-SSR systems of more than 50 world-class universities with consideration to the inherent characteristics and historical mission of social sciences research in China. The findings serve as the basis from which to examine the future trends in the reform of the E-SSR system in Chinese universities. Findings: The application of SSCI papers as an E-SSR tool is not common in world-class universities. To date, the reform of the E-SSR system in Chinese universities has involved: (i) establishing a pluralistic evaluation mechanism, with equal importance placed on SSCI papers and other research achievements; (ii) emphasizing the need for caution in using SSCI papers as an E-SSR tool and instituting distinct treatments for various disciplines; (iii) reducing the importance attached to journal language and ranking, while emphasizing innovation quality and practical contributions; and (iv) establishing China's E-SSR standards in order to achieve an equilibrium between internationalization and localization. Originality/Value: This review argues that although SSCI papers constitute an indicator of E-SSR system, their importance must not be overstated. The main purpose of the E-SSR system is to facilitate the development of social sciences with a style and characteristics unique to China.

This paper analyses the conference papers published by double first‐class universities from mainland China between 2006 and 2019. The main findings are as follows: first, the number of conference papers from different double first‐class universities varied greatly, with the annual numbers of papers in the China Proceedings of Conferences Full‐text Database (CPCD) and in the Conference Proceedings Citation Index (CPCI) fluctuating during this period. Second, most of the top 10 disciplines of the papers in the CPCD and CPCI were in the natural sciences, with only two in the social sciences. The CPCD papers and CPCI papers had some overlap in their disciplinary distributions. Third, the CPCD and CPCI papers differed little in total number, with the number of CPCI papers being slightly higher than the number of CPCD papers. With the introduction of new regulations from the Ministry of Science and Technology (MST), there will likely be an increase in the number of Chinese‐language conference papers in the future. [ABSTRACT FROM AUTHOR]

Evaluating academic papers and groups is important in scholar evaluation and literature retrieval. However, current evaluation indices, which pay excessive attention to the citation number rather than the citation importance and unidirectionality, are relatively simple. This study proposes new evaluation indices for papers and groups. First, an improved PageRank (PR) algorithm introducing citation importance is proposed to obtain a new citation-based paper index (CPI) via a pre-ranking and fine-tuning strategy. Second, to evaluate the paper's influence inside and outside its research field, the focus citation-based paper index (FCPI) and diversity citation-based paper index (DCPI) are proposed based on topic similarity and diversity, respectively. Third, aside from the statistical indices for academic papers, we propose a foreign academic degree of dependence (FAD) to characterise the dependence between two academic groups. Finally, artificial intelligence (AI) papers from 2005 to 2019 are utilised for a case study. [ABSTRACT FROM AUTHOR]

Predatory publishing is the unethical and dishonest behavior of publishers who take advantage of researchers by charging them too much money and not providing good editing and peer-review services. Scholars, publishers and policymakers are seeking solutions to combat predatory publishing, which has become a major academic problem. This research paper provides a bibliometric analysis of the citation patterns and trends in the predatory publishing literature. The study analyzed the 100 top-cited papers on predatory publishing and provided insight into the types of documents, journals, authors, and countries that contributed to this field. The average citation per paper in the top 100 selected publications was 53.67. Open-access publications received a significantly higher average citation per paper than subscription-based papers. "Article" was the major type of document published, followed by "Notes," "Reviews" and "Editorials." Nature and Learned Publishing were the journals that contained the highest number of top-cited articles. J. Beall and D. Moher authored the highest number of papers, while A. Grudniewicz had the highest average citation per paper. USA and Canada were the top countries in these top-cited publications. This study will be beneficial to the all the stakeholders who may be interested in this area of research. [ABSTRACT FROM AUTHOR]

The objective of this study is to address the disciplinary variations in Journal Impact Factor (JIF), enabling its reasonable application in the evaluation of journals across diverse disciplines. To achieve this, the study utilized journals indexed in the Journal Citation Reports and considered papers from eight distinct disciplines as the research subjects. The citations of papers within each academic field were transformed into normal distributions, each with a different base logarithm. Subsequently, the logarithm-corrected impact factor (IFlog) for each journal was calculated. Category normalization for the IFlog (cnIFlog) was conducted by dividing each journal's IFlog by the logarithmic correction aggregate impact factor of the discipline to which it belongs and the superiorities of cnIFlog in the evaluation of academic journals across different disciplines were demonstrated empirically. The results showed that taking different base logarithms could convert the citations of the journal papers into an approximately normal distribution. The IFlog of the eight disciplines' journals was normally distributed, and the IFlog1.5, IFln, IFlog5, and IFlog10 of the journals were 100% positively related (r=1.000, P=0.000) both in the same and different disciplines. Compared with the impact factor (IF2018), average impact factor percentile (aJIFP), journal index of PR8 (JIPR8), IFlog and relative impact factor (rIF2018), and other indicators, cnIFlog1.5 exhibits the least variation among the journals from the eight different fields. In comparison to aJIFP and JIPR8, it demonstrates the highest correlation, ideal discrimination, and stability. It is concluded that cnIFlog1.5 is an ideal journal evaluation indicator in same or different disciplines. [ABSTRACT FROM AUTHOR]

Medical postgraduates are the new force of scientific research groups in China. However, the limitation of their English language ability restricts their publication of high-level Science Citation Index (SCI) papers to a large extent. Measures to improve students' SCI language ability from macro, intermediate and micro aspects were discussed through flipped classroom teaching mode, such as students' reading papers before class, students' practicing paper writing after class, and teacher's making comments in class. The feedback from the questionnaire showed that 96.65% of the students were satisfied with the teaching mode and 93.57% of them had improved their confidence in SCI writing. For the problems mentioned in the feedback, it was suggested that colleges and universities should formulate policies to encourage teachers to engage in medical English teaching, meanwhile teachers should constantly improve their professional quality, so as to help students improve their SCI language ability rapidly. [ABSTRACT FROM AUTHOR]

The openness and resilience of the global research placed new terms in the post-pandemic academic world. Since the outbreak of COVID-19, a wide variety of scientific articles and research literature have been published in a short period. COVID-19 related research papers in the social sciences focused on the impact of the new disease on social, behavioral or economic outcomes. This paper aimed to explore and understand what the impact and which topics are covered in the papers about COVID-19 in Romanian social sciences ISI journals. As such, the approach highlights that performing the query by the term "covid" in seven Romanian journals indexed in the social sciences ISI database, Amfiteatru Economic registered the highest impact in terms of the number of citations per article. Moreover, most of the papers covering topics on COVID-19 were published in 2021, compared to the previous and current year. The findings also show that journals with a higher AIS and IF have a higher share of cited articles. Results presented in this study, identify as well, the word cloud diagrams for the covered topics in the title of the papers. In such regard, the most frequent words in the corpus made of titles of cited papers are teleworking, workaholism. For the uncited papers, the results suggest that more general terms are frequent. [ABSTRACT FROM AUTHOR]

Background: The number of citations a paper receives reflects its impact on the scientific community. We aimed to identify and explore the characteristics of the most cited papers on total anomalous pulmonary venous connection (TAPVC). Methods: Web of Science Core Collection Expanded Science Citation Index (1900 to present) was searched and papers on TAPVC were reviewed. Articles were ranked by the number of citations and the 100 most cited papers were analyzed. Results: The 100 most cited papers were published between 1952 and 2018 with a mean number of citations of 52 (range 26 to 148). The 1990s was the most productive decade. All articles except one were written in English. The 100 most cited articles were published in 24 journals, led by Journal of Thoracic and Cardiovascular Surgery (21 articles), followed by Annals of Thoracic Surgery (20 articles), and Circulation (16 articles). The United States of America contributed most of the 100 most cited papers (60 articles). Hospital for Sick Children, Toronto led the list of citation classics with six papers. Christopher A. Caldarone, John W. Kirklin, and P. E. F. Daubeney were the most productive authors with 3 articles each. More than half of the papers were cohort studies (51 articles). Surgery, radiology and etiology were the main topics. Thirty-one articles were funded by public foundations, and none received support from commercial companies. Conclusions: The bibliometric analysis gives a historical perspective on scientific progress in the field of TAPVC and lays the foundation for future research. [ABSTRACT FROM AUTHOR]

The correction practice of scientific publications is usually used to correct publication errors by issuing correction notices, and it is less explored compared to retraction practice. The aim of this study is to present an overview of correction practice and to explore the citation situation of correction notices in library and information science (LIS) journals, using 720 correction notices in the Web of Science from 2001–2020. Through bibliometrics and content analysis, we found the correcting rate of LIS was relatively low. The main types of corrected errors occurred in authorship, figure or table, references, etc. Most corrected errors were trivial or minor. The citation situation of correction notices was more complex than expected and could be classified into five types. It was relatively rare to cite both the corrected paper and correction notice in a standardized manner. The remaining four types of citation were unreasonable, which could influence citation practice and reduce the citations of corrected papers. We concluded that the appearance of the correction notice had affected the citation of the corrected papers to some extent, and researchers and databases needed to pay attention to this problem. We also provided some suggestions for improving correction practice. [ABSTRACT FROM AUTHOR]

Purpose: The number of citations has been widely used to measure the significance of a paper. However, there is a need in introducing another index to determine superiority or inferiority of papers with the same number of citations. We determine superiority or inferiority of papers by using the ranking based on the number of citations and PageRank. Design/methodology/approach: We show the positive linear correlation between Citation Rank (the ranking of the number of citation) and PageRank. On this basis, we identify high-quality, prestige, emerging, and popular papers. Findings: We found that the high-quality papers belong to the subjects of biochemistry and molecular biology, chemistry, and multidisciplinary sciences. The prestige papers correspond to the subjects of computer science, engineering, and information science. The emerging papers are related to biochemistry and molecular biology, as well as those published in the journal "Cell." The popular papers belong to the subject of multidisciplinary sciences. Research limitations: We analyze the Science Citation Index Expanded (SCIE) from 1981 to 2015 to calculate Citation Rank and PageRank within a citation network consisting of 34,666,719 papers and 591,321,826 citations. Practical implications: Our method is applicable to forecast emerging fields of research subjects in science and helps policymakers to consider science policy. Originality/value: We calculated PageRank for a giant citation network which is extremely larger than the citation networks investigated by previous researchers. [ABSTRACT FROM AUTHOR]

Engineers make things, make things work, and make things work better and easier. This kind of knowledge is crucial for innovation, and much of the explicit knowledge developed by engineers is embodied in scientific publications. In this paper, we analyze the evolution of publications and citations in engineering in a middle-income country such as Mexico. Using a database of all Mexican publications in Web of Science from 2004 to 2017, we explore the characteristics of publications that tend to have the greatest impact; this is the highest number of citations. Among the variables studied are the type of collaboration (no collaboration, domestic, bilateral, or multilateral), the number of coauthors and countries, controlling for a coauthor from the USA, and the affiliation institution of the Mexican author(s). Our results emphasize the overall importance of joint international efforts and suggest that publications with the highest number of citations are those with multinational collaboration (coauthors from three or more countries) and when one of the coauthors is from the USA. Another interesting result is that single-authored papers have had a higher impact than those written through domestic collaboration. [ABSTRACT FROM AUTHOR]

This article introduces a nonparametric methodology combining the strengths of binary regression and latent variable formulations, while overcoming their disadvantages. The mathematical results are implemented through a novel Bayesian Hierarchical estimation methodology called Latent Adaptive Hierarchical Expectation Maximization Like algorithm. Requiring minimal assumptions, it extends extant methodologies, and in simulation studies gives better prediction and inference performances for asymmetric data generating processes. A new classification statistic, called Adjusted Receiver Operating Curve Statistic is also introduced. Utilizing it we demonstrate better overall model fit, inference and prediction performance of the proposed methodology over widely used existing methods in the sciences. In addition, the methodology can be used to perform model diagnostics for any model specification. This is a highly useful result, and it extends existing work for categorical model diagnostics broadly across the sciences. Furthermore, the mathematical results also highlight important new findings regarding the interplay of statistical significance and scientific significance. Finally, the methodology is applied to identifying highly-cited papers in the social sciences in a joint estimation framework. The results indicate that the methodology outperforms widely used existing artificial intelligence and machine learning models with very few Monte Carlo iterations. In Scientometric application, it finds Journal Impact Factor to be more important than Keyword Popularity parameters for explaining citation outcomes in select social science fields. It further finds that the percentage change in Published Popularity may also help to explain citation outcomes in the field. The findings appear to be new to the Scientometric field. • Introduces new statistical method for regressions requiring few assumptions. • Outperforms existing artificial intelligence/machine learning algorithms. • Introduces ARS: A general statistic for predication/comparison of models. • Applies methodology to identify highly-cited papers in the social sciences. • JIF more important than keywords for getting cited in some social science fields. [ABSTRACT FROM AUTHOR]

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This study used bibliometrics to analyze the characteristics of funded papers in the social sciences in Taiwan from 2015 to 2019, including the number of funded papers, funded paper ratio, document types, fields, type of publishing organizations, journal impact, and paper citation impact. The results indicate that the number of funded papers and the funded paper ratio of SSCI papers from Taiwan have both increased. In addition to articles and reviews, conference papers are a major type of funded paper for local SSCI papers. In terms of fields, the nontraditional social sciences, such as environmental sciences, psychiatry, and public/environmental & occupational health, have a particularly high funded paper ratio. However, the number of funded papers and funded paper ratio is the highest in the field of education & educational research. The fields of economics, management, and business have a large number of funded papers but a low funded paper ratio. Universities are the main funded institutions, but hospitals have the highest funded paper ratio. Funded papers tend to have higher paper citation impacts. Therefore, funding positively affects the productivity and impact of SSCI papers from Taiwan. [ABSTRACT FROM AUTHOR]

This article addresses the revernacularization or reduction of the use-value of the standard Croatian language within the scientific and academic system. A bibliometric analysis of 1,152 academic papers was conducted on the sample of the selected Croatian journals in sociology and philology (Croatian studies). A longitudinal approach was used, analyzing all issues of the included journals in the periods 1996 to 1999, 2006 to 2009, and 2016 to 2019. Unlike in the 1990s, the selected journals were in later periods exposed to internationalization by being included in relevant international databases for scientific research. This article aims to investigate whether and how this process has affected the revernacularization of the Croatian language. The results show a similar absolute number of papers written in Croatian within the periods analyzed, and also a decrease in their relative number (share). In the period from 2016, a marked increase in the number of papers written in English was observed, as well as in the number of foreign authors. Such papers mostly do not address the topics of Croatian society. The results indicate an intensified internationalization of the analyzed journals, but not revernacularization. The mentioned trend can, nevertheless, lead to revernacularization with increasing international recognition of the journals, the continued promotion of publication in foreign languages, and a more rigorous policy of academic advancement in Croatia. In this sense, this study considers the need for preserving the standard Croatian language within the academic system, bringing both into a relationship with the widely promoted model of endogenous social development. [ABSTRACT FROM AUTHOR]

Purpose: This study distinguishes the academic influence of different papers published in journals of the same subject or field based on the modification of the journal impact factor. Design/methodology/approach: Taking SSCI journals in library and information science (LIS) as the research object, the authors first explore the skewness degree of the citation distribution of journal articles. Then, we define the paper citation ratio as the weight of impact factor to modify the journal impact factor for the evaluation of papers, namely the weighted impact factor. The authors further explore the feasibility of the weighted impact factor in evaluating papers. Findings: The research results show that different types of skewness exist in the citation distribution of journal papers. Particularly, 94% of journal paper citations are highly skewed, while the rest are moderately skewed. The weighted impact factor has a closer correlation with the citation frequency of papers than the journal impact factor. It resolves the issue that the journal impact factor tends to exaggerate the influence of low-cited papers in journals with high impact factors or weaken the influence of high-cited papers in journals with low impact factors. Originality/value: The weighted impact factor is constructed based on the skewness of the citation distribution of journal articles. It provides a new method to distinguish the academic influence of different papers published in journals of the same subject or field, then avoids the situation that papers published in the same journal having the same academic impact. [ABSTRACT FROM AUTHOR]

This paper conducted a comparative analysis of the conference publications published by Chinese scholars from 2006 to 2019. The main results are as follows. First, the conference papers are unevenly distributed among the 31 provincial administrative regions. The annual number of conference papers published by scholars from different regions fluctuated during the study period. Second, there are different disciplinary distributions of China Proceedings of Conferences Full‐text Database (CPCD) papers and Conference Proceedings Citation Index (CPCI) papers, and the CPCI publications have a relatively centralized disciplinary distribution. Third, it is noteworthy that there are more CPCD papers than CPCI papers. With the introduction of the new science and technology evaluation standards of the Ministry of Science and Technology, there should be more conference papers in the future. [ABSTRACT FROM AUTHOR]

Purpose: In this article, the ideas and methods behind the "patent-paper citation" are scrutinised by following the intellectual and technical development of approaches and ideas in early work on patentometrics. The aim is to study how references from patents to papers came to play a crucial role in establishing a link between science and technology. Design/methodology/approach: The study comprises a conceptual history of the "patent paper citation" and its emergence as an important indicator of science and technology interaction. By tracing key references in the field, it analyses the overarching frameworks and ideas, the conceptual "hinterland", in which the approach of studying patent references emerged. Findings: The analysis explains how interest in patents – not only as legal and economic artefacts but also as scientific documents – became evident in the 1980s. The focus on patent citations was sparked by a need for relevant and objective indicators and by the greater availability of databases and methods. Yet, the development of patentometrics also relied on earlier research, and established theories, on the relation between science and technology. Originality/value: This is the first attempt at situating patentometrics in a larger societal and scientific context. The paper offers a reflexive and nuanced analysis of the "patent-paper citation" as a theoretical and historical construct, and it calls for a broader and contextualised understanding of patent references, including their social, legal and rhetorical function. [ABSTRACT FROM AUTHOR]

Aim: This study evaluates the research output on Clozapine included in Scopus database during 1970-2021. Materials and Methods: The quantitative and qualitative analysis of publications on "Clozapine" covered in Scopus database during 1970-2021 was undertaken. The results obtained were further analysed using additional features in Scopus database. Results: 7399 publications on "Clozapine" were obtained from Scopus international database and these publications received 189068 citations, averaging 25.55 citations per paper (CPP). There was initial rise in the number of publications per year from 1988 to 1995, after that the number of publications has remained relatively stable. Authors from USA, U.K. and Germany contributed to the largest number of publications (2136, 709 and 457 publications respectively), and publications with authors from USA, Canada and Germany registered the highest CPP and relative citation index (RCI). The authors from King's College London, U.K, The Zucker Hillside Hospital, USA and University of Toronto, Canada published the highest number of publications. The organization that registered the highest CPP and RCI was Sandoz International GmbH, Switzerland, Long Island Jewish Medical Centre, USA and Vanderbilt University, School of Medicine, USA. The authors who published the highest number of publications were H.Y. Meltzer (USA), J.A. Lieberman (USA) and A. Weizman (Israel). The authors who registered the highest CPP and RCI were R. W. Kerwin (U.K.) and J.P. Lindermayer. The journals that published the highest number of publications were Journal of Clinical Psychopharmacology (351 papers), Journal of Clinical Psychiatry (282 papers), and American Journal of Psychiatry (255 papers). The most impactful publications were published in Archives of General Psychiatry, Schizophrenia Bulletin, Journal of Pharmacology and Experimental Therapeutics, and American Journal of Psychiatry. Conclusion: This study suggests that the numbers of publications on clozapine have remained stable over the years and maximum research has emerged from the developed countries. [ABSTRACT FROM AUTHOR]

Eugene Garfield's contribution to the global informetrics and scientometrics research is significant. In this paper, a scientometric analysis of Eugene Garfield's 50 highly cited papers is performed. His papers were published in 32 journals including top-ranked journals such as Nature and Science. The top 15 keywords with the strongest citation bursts from 1989 to 2009 and references with strong citation bursts are presented. Co-citation analysis and bibliographic coupling analysis based on source journals using VOSviewer were carried out. The result revealed that keywords 'citation relationship', 'scientific journals', 'biological journal' and 'self-citations' started to burst/hotspot in 2002. The term 'citation analysis' has the highest number of four years' popularity as citation burst. The study further revealed that the top 50 publications of Eugene Garfield gained 8441 citations of the total citations of 9121 from 254 published documents. Garfield has Total Link Strength of 35 and has received 8511 citations which comes to 93.31% of the total citations and proved his dominance over the collaborators. Ninety percent of the papers (45) published in the USA and above 92% of the citations (8419) were also received from the USA's publications. Just five papers in three journals received 4856 citations (53.23%) of the total 9121 citations. These three journals include three papers in Science (with 3027); one each in Journal of the American Medical Association (with 1323 citations) and The Canadian Medical Association Journal (with 606 citations). [ABSTRACT FROM AUTHOR]

The paper makes assessment of global e-cigarette publications (3885 publications) trends over the past 18 years (2001-8) via a bibliometric analysis, using Scopus database. The paper further provides an insight into qualitative performance of e-cigarettes research in terms of qualitative indicators, such as relative citation index, citations per paper, highly cited papers, top 15 global organizations and authors in the field, most favored subjects in the field. E-cigarettes annual and nine-year cumulative global publication output registered 113.60% and 7570.0% growth during the last 18 years and its citation impact averaged to 18.71 citations per paper. 89.63% share of the global research output and more than 100% share of global citation output in the field emanates from top 10 (among 37 participating countries) during 2001-18. Seven (out of top 10) countries registered relative citation index above their global average of 1.29: Canada and Italy (2.32 each), Greece (1.75), Australia (1.54), U.K. and Switzerland (1.42 each) and France (1.30) during 2001-18. Medicine is the most preferred subject on e-cigarettes research with 81.75% global publications share, followed distantly by pharmacology, toxicology and pharmaceutics (13.15%), social sciences (9.146%), environment science (7.26%), etc. during this period. Among 525 organizations and 729 authors participating in e-cigarettes research, the top 15 organizations and the authors collectively contributed 26.64% and 13.64% global publication share and 47.78% and 33.25% global citation share, respectively during 2001-18. USA and U.K. were the leading global organizations with global publications share of 52.15% and 12.54%. University of California, San Francisco, USA and University of North Carolina at Chapel Hills, USA were the leading organizations with 135 and 87 papers. Roswell Park Cancer Institute, USA (53.79 and 2.88) and Food and Drug Administration, MD, USA (42.33 and 2.26) were the two leading organizations in terms of citation impact per paper and relative citation index. R. Polosa (61 papers) and K.E. Farsalinos (45 papers) were the two most productive authors on the subject. M.L. Goniewicz (77.02 and 4.12) and S.A. Glantz (69.50 and 3.71) were the two leading authors in terms of citation impact per paper and relative citation index. Nicotine and Tobacco Research (184 papers) and Tobacco Control (168 papers) were the leading journals (among 305 participating journals) publishing on this theme. 141 papers (among 3885 total papers) registered 100 to 2902 citations per paper, cumulating to a total 31459 citations, averaging to 223.11 citations per paper. [ABSTRACT FROM AUTHOR]

The study assesses highly cited research works in the area Business, Management and Accounting retrieving data from Scopus database for the period 1998-2017. It found total 49417 publications which received 769676 citations. The study identifies about one third (32.88%) of papers have remained uncited during the period. Among rest, papers' having one citation (10.60%) is higher. It is inferred from the analysis that older publications get more citations. Indian citation distribution is almost similar with global citation distribution pattern. The study identifies Cranfield University of UK has greater impact. International collaboration brings higher citations and Netherlands has higher citation per paper (27.33) due to its international collaborative research. Besides, language may be a barrier of research communication. Clusters and the new is highly cited paper. Out of top ten highly cited research papers, six papers are single authored and two papers have international collaboration. Maximum authors are from USA. Harvard business review is the quality journal. [ABSTRACT FROM AUTHOR]

Measuring the contribution of each author of a multi-author paper has been a long standing concern. As a possible solution to this, we propose a list of intellectual activities and logistic support activities that might be involved in the production of a research paper. We then develop a quantitative approach to estimate an author’s relative intellectual contribution to a published work. An author’s relative intellectual contribution is calculated as the percent contribution of an author to each intellectual activity involved in the production of the paper multiplied by a weighing factor for each intellectual activity. The relative intellectual contribution calculated in this way can be used to determine the position of an author in the author list of a paper. Second, a corrected citation index for each author, called the T-index, can be calculated by multiplying the relative intellectual contribution by the total citations received by a paper. The proposed approach can be used to measure the impact of an author of a multi-authored paper in a more accurate way than either giving each author full credit or dividing credit equally. Our proposal not only resolves the long standing concern for the fair distribution of each author’s credit depending on his/her contribution, but it will also, hopefully, discourage addition of non-contributing authors to a paper. [ABSTRACT FROM AUTHOR]

The study examines global "Quantum Cryptography" research on a set of quantitative and qualitative metrics to understand the status of research in the subject at global, national, institutional, and individual level. The analysis is based on publications data in the subject comprising a total of 10801 publications as indexed in the Scopus database covering the period 1992–2020. The study provides a window to most productive countries, research organizations and authors in the subject, to most popular broad subject areas in research, to top modes of research communication, and in addition it describes the characteristics of highly cited papers. The study maps the most productive countries, organizations, authors, and keywords in the context of collaborative research. The quantum cryptography research registered a 24.76% annual average growth, accrued an average of 23.01 citations per paper (CPP) since their publication, and it contributed a 4.03% of its output as highly cited papers, with an average of 305.46 citations per paper since their publication. Scholarly journals accounted for a 59.61% global publications share. Nearly 29% of the total output on "Quantum Cryptography" resulted from projects funded by 100+ national and international funding agencies. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has emerged as an innovative technology with the potential to revolutionize various industries including libraries and information science. Academic libraries are increasingly adopting artificial intelligence (AI) to enhance services, improve efficiency, and enhance user experience. This study utilizes a bibliometric approach to comprehensively analyze current research on AI in academic libraries (AI in ALs). This study employed bibliometric indicators to identify key trends, patterns, and research gaps in the existing literature. A comprehensive dataset of 373 research papers on AI in ALs published between 2002 and 2022 was collected and analyzed using the Scopus database. Various bibliometric tools, such as Biblioshiny, VOSviewer, and BibExcel, have enhanced this analysis. The findings of this study provide important insights. By 2022, there were 64 publications, constituting 17.16% of the total corpus, accompanied by 65 citations. In contrast, 2019 witnessed only 33 publications yet accumulated a substantial number of citations, amounting to 294, representing 8.85% of the overall citations. Conference papers exhibited the highest frequency among different publication types, with 165 publications, whereas journal articles had the highest citation count, accumulating 217 citations. Geographically, China emerged as the leading contributor with 119 publications, and Wuhan University stood out as the most prominent affiliation. Notably, the "Lecture Notes in Computer Science" series emerged as the most prolific source title, publishing 15 articles, of which eight were cited. The authors Wang J., Wang C., and Wang X. from China demonstrated significant contributions, consistently publishing four papers annually from 2010 to 2022. [ABSTRACT FROM AUTHOR]

Accurately assigning the document type of review articles in citation index databases like Web of Science(WoS) and Scopus is important. This study aims to investigate the document type assignation of review articles in Web of Science, Scopus and Publisher's websites on a large scale. 27,616 papers from 160 journals from 10 review journal series indexed in SCI are analyzed. The document types of these papers labeled on journals' websites, and assigned by WoS and Scopus are retrieved and compared to determine the assigning accuracy and identify the possible reasons for wrongly assigning. For the document type labeled on the website, we further differentiate them into explicit review and implicit review based on whether the website directly indicates it is a review or not. Overall, WoS and Scopus performed similarly, with an average precision of about 99% and recall of about 80%. However, there were some differences between WoS and Scopus across different journal series and within the same journal series. The assigning accuracy of WoS and Scopus for implicit reviews dropped significantly, especially for Scopus. The document types we used as the gold standard were based on the journal websites' labeling which were not manually validated one by one. We only studied the labeling performance for review articles published during 2017-2018 in review journals. Whether this conclusion can be extended to review articles published in non-review journals and most current situation is not very clear. This study provides a reference for the accuracy of document type assigning of review articles in WoS and Scopus, and the identified pattern for assigning implicit reviews may be helpful to better labeling on websites, WoS and Scopus. This study investigated the assigning accuracy of document type of reviews and identified the some patterns of wrong assignments. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to indicate the current state of studies on Islamic finance and management through a bibliometric analysis of the only social science citation index (SSCI)-indexed journal in this field. Design/methodology/approach: The paper uses a bibliometric analysis, collecting data from the 319 papers published in the International Journal of Islamic and Middle Eastern Finance and Management (IMEFM) from 2008 to 2019. Moreover, VOSviewer software has been used to illustrate the citation analysis (including most cited papers, most cited authors and authors' affiliated institutions and countries) and the keyword map. Findings: The number of papers published in each issue of the IMEFM is found to have significantly increased owing to its unique situation being the only SSCI-indexed journal in this domain. The share of the empirical researches in total papers published annually has steadily risen, reaching 95% in 2019. In terms of case countries, although Malaysia is the most examined country in the papers, other countries such as Indonesia and Turkey are found to have been used as a case country by researchers recently. Islamic banking-related papers are the most prevalent studies, as expected, with mainly their performance being examined. Meanwhile, the number of papers about Islamic social financial institutions has notably grown in recent years. Finally, technology-based initiatives such as crowdfunding and cryptocurrencies are noted to have not yet been the subject of any paper. Originality/value: The main contribution of this study is its analysis of the only SSCI-indexed journal on Islamic finance and management using bibliometrics. Also, all the papers published in the journal have been reviewed in terms of methodology, case country/country groups and topics/subtopics to lead the way for future research. [ABSTRACT FROM AUTHOR]

The paper presents a analysis of quantitative and qualitative dimensions of global research output (3488 records) on "Impact of COVID-19 on Children and Adolescents", based on indexed publications in Scopus database. The global publications on this theme averaged 8.31 citations per paper. About 1.49% share of its total publications in this area received external funding support. The 145 countries partcipitated in global research output on "Impact of COVID-19 on Children and Adults", of which the top 10 countries accounted for 85.21% and more than 100% share of global publications and citations. The USA, U.K. and Italy leads in global publications ranking and productivity as against China (3.16), U.K (1.28) and USA (1.27) leading in terms of relative of relative citation index. The 412 organizations and 661 authors participated in global research on this theme, with top 15 most productive organizations and authors contributing 21.07% and 4.30% global publications share and 38.05% and 12.98% global citations share. Harvard Medical School, USA, Huazhong University of Science and Technology, China and Tongji Medical College, China leads the world as the most productive organizatons (with 480, 67 and 63 publications) and Huazhong University of Science and Technology, China (31.97 and 3.85), Tongji Medical College, China (19.92 and 2.40) and Children Hospital of Philadelphia, USA (19.30 and 2.32) leading as the most impactful organizations in the world in terms of citation per paper and relative citation index. D.Buonsensov, C.Calvo and X. Lu were the most productive authors (with 15, 12 and 12 papers) and X.Lu (103.83 and 12.49), A. Licari ( 40.11 and 4.83) and G.L. Marseglia( 34.09 and 4.1) were the most impactful authors. JAMA Pediatrics, Pediatrics Infectious Disease Journal and Acta Paediatrica International Journal of Pediatrics were the most productive journals (with 71, 60 and 58 papers) and Pediatrics (36.59, JAMA Pediatrics (19.49) and Acta Paediatrica International Journal of Pediatrics (14.93) were the most impactful journals. [ABSTRACT FROM AUTHOR]

Research topics vary in their citation potential. In a metric-wise scientific milieu, it would be probable that authors tend to select citation-attractive topics especially when choosing open access (OA) outlets that are more likely to attract citations. Applying a matched-pairs study design, this research aims to examine the role of research topics in the citation advantage of OA papers. Using a comparative citation analysis method, it investigates a sample of papers published in 47 Elsevier article processing charges (APC)-funded journals in different access models including non-open access (NOA), APC, Green and mixed Green-APC. The contents of the papers are analysed using natural language processing techniques at the title and abstract level and served as a basis to match the NOA papers to their peers in the OA models. The publication years and journals are controlled for in order to avoid their impacts on the citation numbers. According to the results, the OA citation advantage that is observed in the whole sample still holds even for the highly similar OA and NOA papers. This implies that the OA citation surplus is not an artefact of the OA and NOA papers' differences in their topics and, therefore, in their citation potential. This leads to the conclusion that OA authors' self-selectivity, if it exists at all, is not responsible for the OA citation advantage, at least as far as selection of topics with probably higher citation potentials is concerned. [ABSTRACT FROM AUTHOR]

Aim: The present study is aimed on to perform Scientometric assessment of global publications output of research on nano-enabled drug delivery (NEDD) during 1995–2018. Materials and Methods: A quantitative and qualitative description of NEDD research in India is presented here based on measures such as growth rate, global publications share, share of international collaborative papers, citations per paper, and highly cited papers. It was examined India's research output on NEDD on a series of bibliometric indicators. Results: India published a total of 5897 publications in 24 years during 1995–2018, registering an average annual growth rate of 42.99%, citation impact of 22.90 citations per paper, global publication share of 11.11%, and international collaborative publication share of 20.35%. Profiles global publication output and share of top 10 most productive countries in NEDD research, 20 most productive Indian organizations and 20 most productive Indian authors on a series of indicators including publications output, number of citations, the relative citation index, citations per paper, h-index, and share of international collaborative papers during 1995–2018. Conclusion: This study describes the scattering of research output of India across source journals and distribution of research by subject areas that intersect with NEDD research. It suggests the need for India to develop specific plans of action and ensure its implementation at the national level and also prioritize national goals for NEDD research. [ABSTRACT FROM AUTHOR]

The paper presents a quantitative and qualitative profile of Thrombosis research in India, based on 4026 publications indexed in Scopus database during 2000-19. Indian research output on Thrombosis registered 11.64% annual growth, averaged 13.54 citations per paper and contributed 2.26% global share (with 13th rank) and 14.13% share devoted to international collaborative papers. Thrombosis research applications across subjects were the largest in medicine (87.93%), followed for other subjects with contribution from 5.84% to 10.08%), etc. The distribution by type revealed that Venous Thrombosis accounted for the highest share (52.36% share), followed by Arterial Thrombosis (29.01% share), Limb ischemia (1.49%) and Hepatic artery thrombosis (0.72%) during 2000-19. AIIMS- New Delhi (374 papers) and PGIMER-Chandigarh (280 papers) lead the country as the most productive organizations. Besides, GMCH-Chandigarh (66.80 and 4.93) and Fortis Healthcare Limited (47.82 and 3.53) lead the country as the most impactful organizations in terms of citation per paper and relative citation index. K. Ghosh (61 papers) and R. Saxena (51 papers) lead the contry as most productive authors and K. Sarin (115.32 and 8.52) and D. Dash (44.29 and 3.27) lead as the most impactful authors. Indian Heart Journal (with 160 papers), BMJ Case Reports (133 papers) and Neurology India (115 papers) topped the list of most productive journals. [ABSTRACT FROM AUTHOR]

Objective: To analyse the productivity of post-Soviet countries, adjusted by population, in terms of research papers published and the proportions of those papers indexed by Scopus and the Web of Science. Methods: Relevant data on the journals indexed in Scopus and the Web of Science were analysed. Where required, data were also extracted from Russian Science Citation Index databases and websites of journals. Results: On average, the post-Soviet countries had 31 researchers per 10,000 people. The average numbers of publications per researcher in journals indexed by Scopus was 1.04 and the corresponding figure for the Web of Science was 0.87. In terms of the number of journals indexed in Scopus and the Web of Science, the leading countries were Estonia, Latvia and Lithuania. Conclusion: Although the post-Soviet countries differed considerably in terms of bibliometric indices, the overall values were low. Main features of the journals were as follows: articles published in national languages - in Russian in many cases - and in English, articles mostly by authors within the region, and only a minority of foreigners as members of editorial boards. Thus most of the journals cannot be considered international. All the journals examined have websites in a national language and/or in English and invariably carry information on ethical practices, although such information is not given in a uniform format and varies from country to country. [ABSTRACT FROM AUTHOR]

This paper provides a bibliometric analysis of indexed scientific papers on concrete segmental bridges. Two hundred forty-two papers published from 1900 through 2013 were extracted from the Web of Science. The analysis examines author information, journal and year of publication, WoS category, funding agency, topics, keywords, and content. This study shows that the main references on concrete segmental bridges were published in United States journals on concrete structures; more than half were by authors in the United States. [ABSTRACT FROM AUTHOR]

This research delves into the global research trends on crowd management, specifically focusing on the Tawaf ritual at the Kaaba, through a bibliometric analysis of papers cataloged in the Web of Science. Employing Biblioshiny and VOSviewer, we analyzed publication and citation dynamics, the most cited countries and prolific authors, and the collaboration patterns within and across countries. This study reveals that technological advancements have become pivotal in proposing innovative crowd management strategies, particularly in Tawaf. This insight is crucial, as it suggests a significant shift towards integrating technology with traditional crowd management practices to enhance safety and efficiency in managing large crowds. Prominent figures in this domain include researchers Zafar, B. and Manocha, D., with the USA and Umm Al-Qura University, being the most-cited country and institution, respectively. With multi-authorship being prominently observed in 91.30% of the articles, indicating a strong collaborative network among researchers and institutions worldwide, the findings offer valuable insights for evaluating the impact and productivity of journals and institutions within this research domain. This study underscores the potential for leveraging emerging technologies in developing more sophisticated crowd management solutions, paving the way for future research that could enhance safety and efficiency in high-density events. [ABSTRACT FROM AUTHOR]

In this study, we investigated whether female and male authors in the field of life sciences and biomedicine differed in their tendency for citation and citation sentiment. The data comprised two sets, cited set and citing set. Cited set comprised 17,237 articles whereas citing set comprised 115,935 articles. The cited set which is from the area Life Sciences & Biomedicine and published during 2012–2016 was retrieved from the Web of Science Medline. The citing set and its citation contexts were retrieved using the Colil database. The analysis was done using a combination of homophily analysis, regression analysis and a chi-square test. The covariates in the regression analyses were features related to authors, journal, institution, country and abstract readability. The homophily analysis showed a significant tendency for female (8%) and male (14%) authorship teams to cite papers by the same gender composition teams. In addition, the results of regression analysis (Model 1) and pairwise comparisons showed that male-authored papers received a significant higher positive sentiment compared with female-authored papers. The results of regression analysis (Model 2) showed a small significant positive association between gender similarity of cited and citing authorship teams and the sentiment score. However, further analysis using the chi-square test showed a significant lower tendency for women to use positive terms when citing the research findings of papers with the same gender composition. Men, in contrast, used significantly more positive terms when citing papers with the same gender composition. Finally, lay summary for a cited paper, country similarity and the venue of cited publication when it was a mega journal had a positive significant association with the sentiment score received. [ABSTRACT FROM AUTHOR]

This study investigated whether basic details of the research process are mentioned in social science research articles. Five hundred empirical articles were sampled from the Social Sciences Citation Index. The frequency of omitted details was mixed. For central essential details, omission rates were: 0% for research purpose, 2% for data collection method, 8% for sample size, 20% for data analysis method, and 48% for sampling strategy. The analysis found that 56% of articles were missing one or more of these five details. For more peripheral details, omission rates were: 36% for limitations, 55% for ethical considerations, and 94% for foundational philosophy. Prevalence rates were varied when compared across different disciplines and between qualitative, quantitative, and mixed methods approaches. Possible causes for these findings include the use of secondary data, the view that certain details are not essential, and traditions in ethnographic writing. Those involved in academic publishing are invited to reflect on the basic details that are essential for their specialism and how reporting standards are enforced. [ABSTRACT FROM AUTHOR]

The study examines India's research publications on Moringa oleifera plant during 1980-2019, as indexed in Scopus database, focusing on aspects, such as growth characteristics, research quality and impact, extent of international collaborative papers, distribution by broad subjects and significant keywords, leading organizations, authors and journals and features of its high-cited papers. The study found that CFTRI - Mysore (21 papers), University of Calcutta (18 papers) and Banasthali Vidyapeeth (15 papers) were the most productive organizations and National Botanical Research Institute, Lucknow (79.27 and 4.12), Sri Venkateswara University, Tirupati (55.82 and 2.90) and Banaras Hindu University, Varanasi (40.7 and 2.12) were the most impactful organizations in terms of citation per paper and relative citation index. A. Mehta (10 papers), V. Sharma (10 papers) and D. Guha (9 papers) were the most productive authors and S.J.S. Flora (103.33 and 5.38), A. Urooj (36.50 and 1.90) and A.A. Mehta (20.5 and 1.59) were the most impactful authors in terms of citation per paper and relative citation index. International Journal of Pharmacy and Pharmaceutical Sciences (21 papers), Asian Journal of Pharmaceutical and Clinical Research and Journal of Ethnopharmacology (19 papers each) were the leading journals contributing to the field. Journal of Ethnopharmacology (75.0), Phytotherapy Research (52.75) and Indian Journal of Experimental Biology (33.33) were found to be most impactful journals in terms of citation per paper. [ABSTRACT FROM AUTHOR]

The paper describes the quantitative and qualitative dimensions of artificial neural networks (ANN) in India in the global context. The study is based on research publications data (8260) as covered in the Scopus database during 1999-2018. ANN research in India registered 24.52% growth, averaged 11.95 citations per paper, and contributed 9.77% share to the global ANN research. ANN research is skewed as the top 10 countries account for 75.15% of global output. India ranks as the third most productive country in the world. The distribution of research by type of ANN networks reveals that Feed Forward Neural Network type accounted for the highest share (10.18% share), followed by Adaptive Weight Neural Network (5.38% share), Feed Backward Neural Network (2.54% share), etc. ANN research applications across subjects were the largest in medical science and environmental science (11.82% and 10.84% share respectively), followed by materials science, energy, chemical engineering and water resources (from 6.36% to 9.12%), etc. The Indian Institute of Technology, Kharagpur and the Indian Institute of Technology, Roorkee lead the country as the most productive organizations (with 289 and 264 papers). Besides, the Indian Institute of Technology, Kanpur (33.04 and 2.76) and Indian Institute of Technology, Madras (24.26 and 2.03) lead the country as the most impactful organizations in terms of citation per paper and relative citation index. P. Samui and T.N. Singh have been the most productive authors and G.P.S.Raghava (86.21 and 7.21) and K.P. Sudheer (84.88 and 7.1) have been the most impactful authors. Neurocomputing, International Journal of Applied Engineering Research and Applied Soft Computing topped the list of most productive journals. [ABSTRACT FROM AUTHOR]

Aim: The present study aimed to perform scientometric assessment of global publications' output of research on Nigella sativa during 1989–2018. Materials and Methods: The present study examined 3718 global publications on N. sativa, as indexed and covered in international Scopus database during 1989–2018, with a view to understand their growth rate, global publication share, citation impact, international collaborative papers' share, distribution of publications by broad subjects, productivity and citation profile of top organizations and authors, preferred media of communication, and bibliographic characteristics of highly cited papers. The global publications on N. sativa registered 20.87% annual average growth rate, and its citation impact averaged to 19.08 citations per paper. Results: The global share of top ten countries on N. sativa ranged from 3.15% to 23.91%, with the largest share (23.91%) from India, followed by Iran (9.58%), Egypt (9.06%), the USA (7.15%), etc., Nearly 81.31% and 75.74% of the global publication and citation share came from the top 10 countries during 1989–2018. The cumulative global share of the top 10 countries increased from 70.56% to 82.58% from 1989–2003 to 2004–2018. Five countries registered relative citation index above the world average of 0.93 as follows: Germany (1.86), the USA (1.54), Turkey (1.33), Saudi Arabia (1.16), and Egypt (0.94) during 1989–2018. Pharmacology, toxicology, and pharmaceutics contributed the largest global publication share of 33.97%, followed by agricultural and biological sciences (32.92%); medicine (30.10%); biochemistry, genetics, and molecular biology (24.74%); chemistry (12.40%); immunology and microbiology (6.97%); environmental science (5.38%); and veterinary science (3.60%) during 1989–2018. A total of 432 organizations and 642 authors participated in the global research on N. sativa during 1989–2018, of which the top 15 most productive research organizations and the authors collectively contributed 23.45% and 6.64% of the global publication share and 21.82% and 8.04% of the global citation share, respectively, during 1989–2018. Among 3655 journal papers (in 364 journals) in global N. sativa research, the top 15 most productive journals together contributed 13.54% of global share of the total journal publication output during 1989–2018. Conclusion: One hundred and twenty-six publications were found to be highly cited, as they registered citations from 100 to 2971 during 1989–2018 and they together received 23,426 citations, averaging to 185.92 citations per paper. [ABSTRACT FROM AUTHOR]

After thirty years of development, the teaching of interpreting in China has achieved a moderate scale giving the credit to the growing demand for interpreting talents, as well as the spread of interpreting teaching among universities. This study reviewed the papers on interpreting teaching research published for the past decade in China covered by Chinese Social Sciences Citation Index (CSSCI) of foreign languages and education studies, explored the quantity of publications, source journals, authors, institutions and research hotspots by CiteSpace, depicted the mapping knowledge domain and analyzed the problems of the current research. Through bibliometric analysis, it is found that (1) High-level interpreting teaching research papers are produced in limited quantities; (2) Interpreting teaching research in China has not yet formed an independent research field; (3) The traits of interpreting discipline are not obvious enough; (4) The cross-sectional research and the longitudinal study have not been widely concerned; (5) The research on the backwash effect of interpreting tests are few; (6) The research on interpreting teaching at universities of applied sciences are limited. Based on the research findings, reference for further study of interpreting teaching would be provided.

This case study analyses data on papers of Croatian authors published in 2017 from four Web of Science Core Collection citation indexes (SCI‐EXP, SSCI, AHCI, and ESCI). The primary dataset (5,176 articles and reviews) was divided into two subsets, the open access (OA) subset (2,964 papers) and non‐OA subset (2,212 papers). We also used the primary dataset to create a subset of papers published in Croatian journals (1,588) as opposed to foreign ones. All were screened for full‐text OA status, journal JCR quartile ranking, journal dominant discipline, and language of publication. OA papers prevailed with 74.4%. Most were available at publisher websites. The percentage of OA papers in Croatian journals was 99.8%. The share of OA papers was the highest in the humanities and social sciences, which also saw the highest share of papers in the Croatian language. Key points: Three quarters of papers published by Croatian authors are available in open access (OA).Most papers are in English, even in Croatian journals; Croatian prevailed only in the humanities.Croatian journals are mostly non‐commercial, and many receive government subsidies, provided they are OA; they generally do not charge for article processing.The prevalence of OA over non‐OA papers is the highest in the humanities, followed by the social sciences.Open access publishing might increase international visibility of journals from periphery or semi‐periphery countries. [ABSTRACT FROM AUTHOR]

• The interactions between papers and patents are measured using cross-citations of journal papers and technical patents for new CRISPR/CAS9 technology. • The knowledge flow from patents to papers is weaker than that from papers to patents. • The knowledge flow of papers to papers and patents to patents are faster than that between papers and patents. We explored the interactions between papers and patents by studying cross-citations between journal papers and technical patents concerning CRISPR/CAS9, an emerging research topic. We found that the knowledge flow from patents to papers was weaker than that from papers to patents, while the knowledge flow of papers–papers and patents–patents were faster than that between papers and patents. From 2013 to 2017, the science cycle time (SCT) value of journal papers was 4.23, while their technology cycle time (TCT) value was 6.29. The SCT value of patents was 9.56, while their TCT value was 4.88. The science linkage value and technology linkage value between papers and patents was 82.39 and 0.012, respectively. T-tests indicated that the interaction between papers and patents was significant. Although there are many paper citations by patents, the distribution of paper citations was more scattered than patent citations by patents. Examining the paper and patent hybrid documents co-citation revealed that papers' references contained five topics, while patents' references contained only three. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate the impact factors of special education journals in indexed in the "Education, Special (ES)" category of the Social Sciences Citation Index (SSCI) (Web of Science, WoS) as well as considering some bibliometric indicators. As an alternative metric of the journal impact factor (JIF), JIF quartiles were considered, finding that high impact factor journals (Q1) publish more papers than expected (max: 54.76% -min: 38.67%), whereas low impact factor journals (Q4) publish less papers (max: 21.28% -min: 14.97%) in the period 2014-2018. In addition, it is found that the share of self-citations among journal quartiles are almost on the same level and there is no significant relationship between the impact factor and the journal self-citation (r=0.005, p>0.05). The impact factor is strongly positive correlated (r=0.854: for 5-year JIF) with the citedness of the median journal paper and with the journal h-index (r=0.718 for 5-year JIF). Furthermore, it is found a strong positive correlation between h-index and the number of published articles in journals (r=0.723). However, even the impact factor is a valuable indicator for citations of a paper, it is still far to be the perfect indicator for the expected citations of a paper in a journal due to the high degree of skewness of the citation's distribution of papers in a journal. It has been found that citation distributions over 80% of special education journals exhibit high degree skewness (skewness>1) without significant differences by journal quartiles. During the period 2014-2018 the impact factor of the special education journals has increased linearly while the journal-self citation rates have decreased in a similar way. The results obtained for special education have been compared with other fields and compatible/incompatible situations have been discussed.

Aim: The present study aimed to perform scientometric assessment of global publications output of research on Azadirachta indica during 1997–2016. Methodology: The present study examined 4900 global publications on A. indica, as indexed and covered in international Scopus database during 1997–2016 with a view to understanding their growth rate, global publication share, citation impact, international collaborative papers share, distribution of publications by broad subjects, productivity and citation profile of top organizations and authors, preferred media of communication, and bibliographic characteristics of high cited papers. Results: The global publications registered 7.61% annual average growth rate, and its citation impact averaged to 13.91 citations per paper. The global share of top 10 countries ranged from 1.91% to 31.04%, with the largest share (53.49%) from India, followed by Brazil (6.12%), USA (6.02%), etc., About 86.82% and 85.81% of the cumulative global publication and citation share comes from top 10 countries during 1997–2016. The cumulative global share of top 10 countries increased from 85.89% to 86.35% from 1997–2006 to 2007–2017. Only top three countries registered relative citation index above the world average of 1.0: UK (1.95), USA (1.71), and Germany (1.42) during 1997–2016. Agricultural and biological sciences contributed the largest global publications share of 48.41%, followed by pharmacology, toxicology and pharmaceutics (22.04%), biochemistry, genetics and molecular biology (17.35%), medicine (16.80%), environmental science (13.39%), and other three sub-fields contribution varying from 4.90% to 8.22% during 1997–2016. Eight hundred and forty-eight global organizations and 1589 authors participated in global A. indica research, of which the 25 most productive global organizations and authors together contributed 20.65% and 8.92% global publication share and 22.43% and 12.66% global citation share, respectively, during 1997–2016. Among 4387 journal papers (in 959 journals) in global A. indica research, the top 20 most productive journals together contributed 43.63% global share of total journal publication output during 1997–2016. Conclusion: Totally, 78 publications were found to be high cited, as they registered citations from 100 to 1441 during 1997–2016 and they together received 18,498 citations, averaging to 237.15 citations per paper. [ABSTRACT FROM AUTHOR]

Ambio is a leading journal in environmental science and policy, sustainable development, and human-environment interactions. The paper at hand aims to run a bibliometric analysis to inspect the main publications features of Ambio in Science Citation Index Expanded SCI-EXPANDED. For this scope, a bibliometric survey has been carried out to investigate the journal's historic characteristics in the Web of Science (WoS) categories of environmental sciences and environmental engineering for Ambio from 1980 to 2019. These are the categories for which the journal has been indexed throughout the indexed time frame. The paper proposes technical and methodological innovations, including improvements in the methods and original characteristics analyzed. Documents published in Ambio were searched out from SCI-EXPANDED. Six publication indicators were applied to evaluate the publication performance of countries, institutes, and authors. Three citation indicators were used to compare publications. As a parameter, the journal impact factor contributor was applied to compare the most frequently cited publications. The journal impact factor contributing publications were also discussed. Results show that Sweden ranked top in six publication indicators and that the top three productive institutes were located in Sweden. A low percentage of productive authors emerged as a journal impact factor contributor. Similarly, a low relationship between the IF contributing publications and the highly cited publications was also found. Less than half of the top 100 highly cited publications in Ambio did not lie within the high impact in most the recent year of 2019. Three members of the advisory board in Ambio were the main productive authors. T.V. Callaghan contributed to most of the publications while papers published by J. Rockstrom as first and corresponding author contributed the most to the journal impact factor. An article authored by Steffen et al. (2007) scored the highest total citations in 2019. [ABSTRACT FROM AUTHOR]

The Remaining Useful Life of a machine is very useful statistical information for the operator and manufacturer. It provides a very clear perspective to the user how long the machine can be operated and if any faults are detected how can they be prevented and ultimately increase the Remaining Useful Life. If the operators are aware of the forthcoming issues of the machine the downtime caused in the inspection, part delivery and eventually replacing parts is significantly reduced. The paper presents a study on the remaining useful life of machinery as it is an emerging technique, starting from the year 2010 to the current year of 2021. The bibliometric research is carried out using the Scopus database and software such as the VOS Viewer and GPS Visualizer. The study tells that the maximum publications are from articles and conference papers affiliated to remaining useful life, Chinese lead the publication followed by the United States and then France. Remaining useful lives is the most used keyword followed by forecasting and the least contributing keywords are also found. [ABSTRACT FROM AUTHOR]

This paper describes global research in the field of augmented reality (22078) as indexed in Scopus database during 1992-2019, using a series of bibliometric indicators. The augmented reality (AR) research registered high 54.23% growth, averaged citation impact of 8.90 citations per paper. Nearly 1% of global output in the subject (226 papers) registered high-end citations (100+) per paper. The top 15 countries accounted for 87.05% of global publications output in the subject. The USA is in leadership position for its highest publications productivity (19.25% global share). The U.K. leads the world on relative citation index (2.05). International collaboration has been a major driver of AR research pursuits; between 11.89% and 44.04% of national share of top 15 countries in AR research appeared as international collaborative publications. AR research productivity by application types was the largest across sectors, such as education, industry and medical. Computer science has emerged as the most popular areas in AR research pursuits. Technical University of Munich, Germany and Osaka University, Japan have been the most productive organizations and Nara Institute of S&T, Japan (66.55 and 7.48) and Imperial College, London, U.K. (57.14 and 6.42) have been the most impactful organizations. M. Billinghurst and N. Navab have been the most productive authors and S. Feiner and B. MacIntyre have been the most impactful authors. IEEE Transactions on Visualization & Computer Graphics, Multimedia Tools & Applications and Virtual Reality topped the list of most productive journals. [ABSTRACT FROM AUTHOR]

This research study aims to find out the research productivity of Nigerian authors and Pakistani authors to the library philosophy and practice from 2008 to 2013. The present research finds the 226 research articles have been contributed by Nigerian authors and 67 papers have been contributed by Pakistani authors. The highest number of papers has been written by Nigerian authors was 76 in 2010 and from Pakistan 18 papers were contributed in 2013. This present study identifies those 114 single authors from Nigeria and 18 from Pakistan. 116 papers form Nigerian author those range 6-10 pages while 18 from Pakistan. The total numbers of references were used by Nigerian authors those were 4140 while Pakistan was used 1506 references from 2008 to 2013. The most productive authors Rubina Bhatti from Pakistan who wrote 18 papers and Dike Agah from Nigeria has contributed only 5 papers. The most cited papers were retrieved from Nigerian author with 197 citations while 91 citations were received from Pakistan were top-cited research papers. [ABSTRACT FROM AUTHOR]

• Whether control variables are considered or not, highly cited papers always exhibit higher variety and disparity, but exhibit lower balance. • In terms of the integration interdisciplinarity indicators, the RS and LCDiv both have a positive effect on citation impact. • Our results suggest that the effect of variety on citation impact is most significant, followed by disparity and balance. This study explores the relationship between interdisciplinarity and the citation impact of highly cited papers. In this paper, interdisciplinarity is investigated by comparing the dimensions of disciplinary diversity (variety, balance, and disparity) and the typical integration indicators (i.e., the Rao-Stirling index (RS) and the Leinster–Cobbold Diversity Index (LCDiv)) of all papers published in 2000 and indexed in Clarivate Analytics' Web of Science. These papers are categorized into six percentile rank classes according to their citation rates, and the interdisciplinarity among these percentile rank classes is compared. Our results demonstrate that, whether control variables are considered or not, highly cited papers always exhibit higher variety and disparity, but they also exhibit lower balance. In terms of the integration interdisciplinarity indicators, the RS and LCDiv both have a positive effect on citation impact. From the perspective of effect size, our results suggest that the effect of variety on citation impact is most significant, followed by disparity and then balance. These results indicate that variety is likely the most important interdisciplinary factor for citation impact. [ABSTRACT FROM AUTHOR]

• Robust functional form contains true parameters far more often than popular models. • Matches/outperforms widely used regression and Neural Network models. • Finds appropriate balance between Model Fit, Inference and Prediction (MIPs). • Introduces new large-sample DGP test; can use to improve A.I. models. • For MIS field finds Popularity Parameter to be important for predicting citations. This article introduces a versatile functional form for Generalized Linear Models (GLMs) through a simple, yet effective, transformation of the current framework. The models are applied through a new hierarchical bayesian estimation procedure for logistic regression to highly-cited papers in the Management Information Systems (MIS) field. The results are uniformly better, in regards to model fit and inference for in-sample and out-of-sample data, for simulation studies and real-world data applications, requiring very little time to convergence to true population parameters. In simulation studies, I show that the method contains the true parameters nearly three times as often as widely used existing GLMs, and does so while having confidence intervals that are 54.50% smaller, while requiring around two-thirds the number of MCMC iterations as existing bayesian methods. In Scientometric applications the methodology is shown to be highly robust with predictive/classification accuracy, either equaling or exceeding existing methods for identifying highly-cited articles including Artificial Neural Networks (ANN). Thus, the method is shown to be robust to the amount of asymmetry (or symmetry) of the probability of success (or failure) and robust to unbalanced samples and varying Data Generating Processes. Further, the methodology is equivalent to current methods if the data support them and is therefore complementary to existing methods, without loss of interpretability of model parameters. For the MIS field it finds that Popularity Parameter (PP) of an article Keywords can predict whether a paper will be highly-cited (top 25% of highly-cited articles) between two to three years after publication and beyond. Furthermore, given the small number of iterations needed for convergence, the methodology can also be used as a baseline method in Big Data (BD) settings for both Artificial Intelligence (AI) and Machine Learning (ML) contexts as well. [ABSTRACT FROM AUTHOR]