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Extant studies have focused on exploring the research output of universities in Nigeria, but the measure of the quality of research output using citations per paper (CPP) from the Web of Science (WoS) and Scopus is scarcely discussed. This paper investigated the quality of papers published by the top 76 universities in Nigeria. Five hypotheses on CPP were tested using Kruskal-Wallis and Mann-Whitney tests. These hypotheses tested whether CPP is the same or different i) across six geo-political regions (GPRs), ii) between the two major regions, iii) across three university funding types, iv) in Scopus and WoS, and v) if these two databases are correlated. Results using these two databases indicated that no significant median differences were detected among universities across the six GPRs, between northern and southern Nigeria, and between the three funding types (federal, state, and private). Moreover, no significant median differences in CPP between Scopus and WoS were detected, and CPP in both databases was highly positively correlated (0.879; p = 0.05). A comparison of the mean CPP of Nigeria (5.90) from Scopus with 57 other African countries ranked it 47th despite being ranked third in terms of volume of published articles. Policy prescriptions are made on the implications of using CPP for practice. [ABSTRACT FROM AUTHOR]

This paper presents a study of 97 papers classified as review papers by Clarivate's Web of Science. The 97 peer-reviewed papers were published in three prestigious information and library science journals. According to the findings, 57 of the 97 alleged reviews are genuine. 37 research articles, brief communication, case studies, and film reviews are among the 40 papers mislabeled as reviews. The author identifies the causes of these misclassifications, discusses the implications of these misclassifications, and suggests potential solutions to avoid them. [ABSTRACT FROM AUTHOR]

The present research attempts to identify the impact of retracted papers on previous or subsequent papers. We consider the 5693 retracted papers from 1975 to 2020 indexed in the Web of Science database based on bibliometric methods. We use HistCite, Excel, and SPSS software as technical means. The findings suggest a significant difference between the average number of retracted and unretracted papers when cited in retracted papers. Furthermore, there is a significant difference between the average number of unretracted and retracted papers citing retracted papers. The reasons for the retraction of an article may not be the previous retracted papers, yet unretracted papers may be retracted later because of referring to (many) retracted papers. It is deduced that proprietors of citation databases should carefully focus on these papers by checking references to each new paper citing previously retracted papers. [ABSTRACT FROM AUTHOR]

Highly cited papers reflect the top 1% of field and publication year papers. Highly cited papers are important in terms of the number of citations they receive in their subject area and often attract the attention of most researchers in terms of their high quality. Therefore, this study aimed to analyze highly cited papers in the field of sport sciences from a bibliometric perspective and to identify subject areas that have the potential to be highly cited. This research analyzed highly cited papers in the field of sport sciences published during 2010-2020, indexed in the Web of Science of the Clarivate Analytics. The results show that most of the highly cited papers in sport sciences are in sport medicine and published by prominent and renowned researchers. Moreover, most of these papers were contributed by researchers from the European and American continents. The results also show that the United States of America (USA), McMaster University of Canada, and Professor Lars Engebretsen led in publishing highly cited papers in sport sciences. It can be concluded that five thematic clusters were formed by highly cited papers in sport sciences, most of which were in the subject area of sport injuries and exercise physiology. Only highly cited papers in the field of sport sciences were analyzed, and a thorough analysis of all papers in this field is needed for a definite conclusion. This study identifies that the subject area has a great impact on a paper to be highly cited, and only some subject areas in the discipline of Sport Sciences have the potential to be highly cited. [ABSTRACT FROM AUTHOR]

Authors’ collaboration in producing scientific articles is a common relation between scientific people in which article production is easily shared between collaborators. This article determines the authors’ collaboration in The Journal of Advanced Periodontology & Implant Dentistry (JAPID) for 2009 to 2020. The Scientometric method was used in this research. The researchers from the journal website downloaded all published papers at JAPID from the first issue until 2020. The collected data were entered into an Excel software spreadsheet, and the author’s collaboration coefficient was computed. A total of 376 articles by 1076 people were published in JAPID until this research. The average number of authors per article was 2.9. According to affiliation, the first rank belongs to Iranian researchers by publishing 372 articles in JAPID, and India with 23 articles was on the second place in publishing articles in JAPID. Results also showed that only 103 articles had a single author, and 61 articles had 5 authors and more (from 376 articles). The average collaboration coefficient amongst authors of JAPID is 0.7, which is considered acceptable and relatively suitable. [ABSTRACT FROM AUTHOR]

This research aimed to specify research trends in Library and Information Science (LIS) from 2011 to 2020 and hot papers in this field from July 2020 to July 2021 in the Web of Science (WoS) database. This research was of the type applied, scientometric, and descriptive. The study population was all articles in the field of LIS from 2011 to July 2021. The WoS database was used to collect data. To determine the research trend in the field of LIS, the results were limited to 2011-2020, and to determine the hot papers, this period was limited to July 2020 to July 2021. The data were analyzed using the word co-occurrence technique and social network analysis. UCINET, NetDraw, and VOSviewer software were used to draw scientific maps and identify central subjects and people. "Social media" with 259 and "qualitative" with 53 were the keywords with the highest and lowest frequencies, respectively. Library and emerging technologies (106), citation analysis, scientometrics and webometrics (58), electronic information, information security, and protection (56) were three significant topic clusters in the studied area. The results indicated that the research topics in LIS have changed and evolved in the last ten years despite new and up-to-date topics. [ABSTRACT FROM AUTHOR]

The Liposome is a spherical-shaped vesicle composed of one or more phospholipid bilayers, closely resembling cell membranes' structure. It has a novel drug delivery system (NDDS); the lipid bilayer can fuse with other bilayers, such as the cell membrane, thus delivering the liposome contents. The present study has been conducted to map the research productivity of 'liposomes as drug delivery' between 1980 and 2021. This study employed the scientometric method to analyze 629 research papers indexed in the Web of Science database. Different bibliometrics indicators were used to assess the annual research growth, prolific authors, authorship pattern, funding agencies, productive source, organization, country, author keywords, cited paper and cited references, etc. Biblioshiny, Bibexcel, VOSviewer, and MS Office were used to analyze the 629 published papers. The findings show that 629 publications were published between 1980 and 2001, with 24674 citations. 2018 and 2019 recorded the highest research with 49 publications and 758 and 471 citations, respectively. Journal of Controlled Release was the most relevant source in the field, with 45 publications and 3063 citations. LIU Y was the most productive author, with 15 publications and 342 citations. Northwestern University USA has the highest record with 11 publications, and the USA was the most productive country with 181 publications, while China emerged as a leading collaborator with the USA (19 publications). Liposomes and cationic liposomes were identified as the most important research themes. Permeability, ocular drug delivery, Chemotherapy, Cancer therapy, Hypoxia, Combination therapy, and hyaluronic acid were research topics that have gained recent popularity. At the same time, Vesicles targeted drug delivery, cellular uptake, ultrasound, Chitosan, and Pegylation were identified as the research areas that require further attention in the field of liposomes as drug delivery research. [ABSTRACT FROM AUTHOR]

The purpose of this study is to analyse the correlation between content and traffic of 21,485 academic websites (universities and research institutes). The achieved result is used as an indicator which shows the performance of the websites for attracting more visitors. This inspires a best practice for developing new websites or promoting the traffic of the existing websites. At the first step, content of the site is divided into three major items which are: Size, Papers and Rich Files. Then, the Spearman correlation between traffic of the websites and these items are calculated for each country and for the world, respectively. At the next step, countries are ranked based on their correlations, also a new indicator is proposed from combining these three correlations of the countries. Results show that in most countries, correlation between traffic of the websites and Papers is less than correlations between traffic of the websites and Rich Files and Size. [ABSTRACT FROM AUTHOR]

The present study aims to work out solutions for reducing Social Media(SM) harms based on the media ecological perspective. According to media ecology perspective, SM should be addressed at micro-, meso-, exo-, macro-, and chrono-levels. Drawing on meta-synthesis method, Magiran, SID, Noormags, ScienceDirect, Wiley, Springer, Ebscohost, and Sage databases were searched for the data using related keywords. Accordingly, a number of 129 articles were retrieved from the databases. Further analyses on the article titles, abstracts and full texts led to the exclusion of 47, 26, and 14 articles from the set, respectively. Eventually, 42 articles were selected and analyzed as the research sample. The eligibility criteria included peer-reviewed journal articles or full conference papers on social media harms or abuse, published between 2002 -2020, available in English and Persian. As other sources (e.g. dissertations) are not peer-reviewed, and we aimed to identify rigorous best practice literature, we excluded these. The results showed that solutions could be worked out by studying the why and how to use and to participate along with the harms simultaneously. The why and how to use as well as the harms may be determined at micro-, meso-, exo-, macro-, and chrono-levels so that solutions could be proposed at five levels including nurturing time management skills; promoting critical thinking; encouraging family, peer, and colleagues' participation in creating recreational, sports and leisure contexts; teaching media literacy; passing binding and persuasive laws, then review the historical trend of technology adoption. [ABSTRACT FROM AUTHOR]

Increasing scientific productivity in autism research requires citation evaluations that may produce multiple benefits. One of the most recent citation evaluations is the delayed recognition of scientific productions, known as "Sleeping Beauties", which in this study referred to research articles that were neglected (rarely cited) in the first ten years of publication (ten-year sleep/sleep depth) but suddenly cited in later years (at least ten years later/ten years an opportunity to wake up). Based on the standard and comprehensive selection criteria, out of a total of 8864 papers found in WoS and Medline databases between 1946 and 2000, 197 SB papers were identified. In Scopus, 8550 papers were published between 1946 and 2000, and 232 papers were identified as SB. Gillberg (1983) received the highest SB score in all citation databases, and Vilensky et al. (1981) received the highest SB score among the most cited papers. The innovative nature of the SB papers and the special attention paid to autism in recent years were discussed and concluded as possible reasons for the findings. [ABSTRACT FROM AUTHOR]

This paper portrays the topic modeling approach in identifying critical facets in new Library and Information Science (LIS) research. Using machine language, topic modeling in statistics recognizes the "topics" in a document pool. Latent Dirichlet Allocation (LDA) is one such model for topic analysis and thus is used to classify text in the literary warrant in LIS in various locations worldwide. The study analyzed 734 articles published in 4 different LIS journals, i.e., Annals of Library and Information Studies (Indian), DESIDOC Journal of Library and Information Technology (DJLIT-Indian), College and Research Libraries (International), Liber Quarterly (International) from 2016 to 2020. LDA is used to analyze and manage the dataset. The study pivoted on the foundation of extracting 'topics' from these four journals using Mallet and Knime software to determine what research topics are essential at the national and global levels. The paper also visualizes a relationship map of distributed issues at the national and international levels to identify the sublime contexture of keyed-in tags. Furthermore, the study took a socio-cultural approach to LIS research with cross-country comparisons. The study found that the compared topics retrieved from both journals published in India and abroad where non-Indian journals varied significantly from those published in Indian journals. The study concluded that cross-cultural adoption is visible in the research activities over time. Moreover, this study identified the social parameters that describe the changes in the discipline. [ABSTRACT FROM AUTHOR]

This paper compared and contrasted the open access (OA) self-archiving policies of different organizations registered in OpenDOAR, ROAR and ROARMAP databases. It highlights and discusses key policies along with several issues to suggest an institute-specific model policy framework in the line of recommendations and best practises of IDRs (Institutional Digital Repositories) listed in global tertiary sources in green open access ROARMAP, OpenDOAR and ROAR. This paper focuses on IDR policy issues concerning rights, access, and user interfaces. A total of 66 repositories have been selected after overlap checking and based on the selection parameters mentioned in the methodology section. It has been discovered that most IDRs lack policies in the four areas mentioned. Several policy issues are missing, and some of the policy issues used by these repositories are still being developed and improved. Based on the study, some suggestions for the development of IDR policies have been made. It has implications for administrators, funding agencies, policymakers, and professional librarians in developing repository policies of their own. [ABSTRACT FROM AUTHOR]

Despite the drawbacks already pointed out and the wide set of variants suggested to overcome some of them, the h-index is the most used measure to conduct the authorlevel scientific evaluation. Simplicity is probably its main advantage and the reason for its popularity. The main goal of the current study is to propose an index that is directly linked and almost perfectly correlated with the h-index but is even simpler to obtain. Our index does not require any form of calculation. It disregards the distribution of citations among the papers of the author. Instead, only the total number of papers and the total number of citations of the author is used to obtain the final score. The score of each author can be seen in the table we present in this study. Although much simpler than the h-index (and other measures that account for citation distribution), our index produces the same general conclusions. We illustrate the application of this index with a sample of economists. [ABSTRACT FROM AUTHOR]

In addition to being utilized in areas such as Information Storage and Retrieval and Knowledge Management, investigating human information behavior as an independent field of knowledge has its issues. The concept of info-behavior somehow involves a reciprocal process: the info-giver and the info-receiver/seeker. On the other hand, in a logical analysis of information behavior, the elements required in this process are information and the source of information (i.e., the infogiver). Nevertheless, most of the discussions and the papers found in the literature on human information behavior (perhaps because of being interested in the applications mentioned above) are focused on info-seeking. And for any reason, little attention is paid to the role of the info-giver as the primary side in information behavior. However, the author's main idea in this paper is that the info-giver is central to realizing this process. The present article, having a glance at some of the most popular models on information behavior and the place of the info-seeker in the process, points to the absence of the info-giver in the mentioned models. Then, by providing some exemplary cases of information behavior initiated by the infoseeker/receiver in the absence, the paper emphasizes the information giver's central role in realizing the information behavior process. [ABSTRACT FROM AUTHOR]

This paper analyzed the literature on collection development, space planning, futuristic technologies, and information services related to academic libraries. The content analysis method was applied to review these papers. The selected papers for review have the potential to influence the future of academic libraries. This review of the related studies shows that the academic library has evolved into a hybrid model, combining traditional collections and a modern, sophisticated knowledge warehouse. It is predicted that the future library will be a place for aesthetic, emotion-rich social centers and will act as a knowledge refinery. Developing innovative technologies and services and improving the skills of library staff are significant challenges for the future. This study has designed a new conceptual framework in this area, identifying the possible scenarios for future academic libraries. [ABSTRACT FROM AUTHOR]

In this research, all the scientific publications of the Iran University of Medical Sciences (IUMS) from 1980 to 2020 are studied using bibliometric analysis and scientific network visualization. This research applied quantitative research using bibliometrics and visualization of scientific publications. The research population included all the scientific publications of IUSM on the Web of Science Core Collection (WOSCC) from 1980 to 2020. Data from the WOSCC were extracted via the advanced search by searching the Iran University of Medical Sciences in the affiliation field. Microsoft Excel and VOSviewer were used for data analysis. First, the frequency distribution of the scientific publications was identified. Then, the level of international collaborations was analyzed. Finally, the citation clusters of researchers' scientific publications and keyword co-occurrence were examined. IUMS had 9950 documents indexed in the WOSCC. Malekzadeh jointly ranked first as the most prolific author. The Iranian Red Crescent Medical Journal, with 207 articles, has the highest number of articles. All highly-cited papers were published in high-level Q1 journals. The highest collaboration rate at a national level was with the Tehran University of Medical Sciences. Internationally, IUMS's researchers had the highest collaboration with authors from the United States, the United Kingdom, Canada, and Australia, respectively. Term clustering demonstrated five main clusters: pharmacological studies, epidemiological studies, general & and internal medicine, meta-analysis and systematic review, and Immunological studies. The methods and techniques of bibliometrics and visualization are optimal for depicting and analyzing the scientific status of researchers, publications, journals, universities, countries, and even the world. The current study can be a model for analyzing bibliometric indices of other universities and research institutes in Iran and elsewhere. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) has made our surroundings more innovative and responsive, which has improved our lives. This research aims to provide a comprehensive overview by describing the descriptive parameters of publications, visualizing co-authorship and citation patterns, extracting the authors' keywords, and determining the impact and research performance of the IoT in education. Subsequently, this paper provides an orientation for researchers to understand better the main progress and gaps in this scientific publication. From 2006 to 2021, a comprehensive inspection of 2503 documents in the Scopus database was accomplished. Based on the findings, the number of publications increased steadily, with a hike in publication numbers in 2020. Scholars from China contributed approximately 467 of the total global publications among 103 other countries. In addition, of the other 160 outlets, Advances in Intelligent Systems and Computing was the most prolific source title. Generally, there is sustained interest and increased research in this field, apart from establishing novel methods and directions. Accordingly, an in-depth examination of the IoT in education research may assist researchers and practitioners in advancing prospective knowledge in this subject by identifying gaps. [ABSTRACT FROM AUTHOR]

This study explored its research trends by examining Iran's methods, contexts, and theories of information behavior research. This study is applied research regarding objectives and a content analysis regarding methodology. The research population consisted of 325 studies on information behavior. A researcher-made checklist was used to collect data, the validity of which was confirmed by experts. According to the researcher-made checklist, 325 data were analyzed based on the variables of each section. Data analysis was performed using descriptive statistics and SPSS software (version 22). The results indicated the dominance of the quantitative approach and, consequently, the application of statistical analysis tools and methods related to this approach in relevant studies. In addition, most investigations were practical in this field, and therefore, fewer theoretical-philosophical studies and, in other words, fundamental research have been addressed in this field. There is no diversity in studies methodologically, and most of the reviewed studies, while referring to influential research in this field in their backgrounds, do not pay attention to their methodologies. Most of the research works are copies of previous studies conducted using quantitative, applied, and survey methods, and the desired population has changed only in some cases. Moreover, the scope of disciplines and specialties involved in the research production and studies reflects the interdisciplinary nature of this field with emphasis on knowledge and information science. The approach of information behavior research is expanding in various contexts with the presence of different types of users. However, it seems that the information behavior of the general public is less considered, and new studies are required in this regard. Research and studies conducted on information behavior in Iran have mainly considered the international models in this field, and some studies have even attempted to modify them. Few researchers have also proposed new models in this field, some of which have been published in international papers. [ABSTRACT FROM AUTHOR]

The study examines the awareness and usage of Academic Social Networking Sites (ASNS) among female research scholars and faculty members in Tamil Nadu, India. A structured questionnaire was used to survey 838 female research scholars through online platforms. The results showed that most respondents use at least one ASNS, with Google Scholar being the most popular. The primary reasons for using ASNS are to disseminate scholarly work and discover research papers. However, a lack of awareness and time was the main reason for not having an account with these sites. The respondents learned about ASNS primarily through friends and colleagues and suggested increasing their use and awareness through seminars and training courses, library posters, and integration in the student courses. The study highlights the importance of ASNS in the research work of female scholars and faculties while also recognizing the need for increased awareness and access to these resources. [ABSTRACT FROM AUTHOR]

Policymakers and experts should trust health studies. On the other hand, it should be considered by the general public. Altmetrics, as a new method, seeks to examine the social effects of researchers' scientific outputs along with citation analysis indices. The present study aims to investigate the effectiveness of the articles published by researchers in the field of waterpipe/cigarette smoking on the Web of Science database during 2010-2019. This paper is a descriptive-analytical study with a correlational approach in the citation analyses using the Altmetrics index. The statistical population consists of papers on waterpipe/cigarette smoking by Middle Eastern researchers during 2010-2019 published on the Web of Science. The data is extracted using the Altmetrics Bookmarklet and analyzed it by excel and SPSS.From the total number of scientific articles in the field of waterpipe/cigarette smoking by Middle Eastern researchers during the research period, 1,086 articles were indexed on the Web of Science, and only 2% of them had no Digital Object Identifiers (DOI) or PubMed Identifiers (PMID); on the contrary, 50% of the articles had Altmetrics scores. Among the social networks cited by the researchers of the Middle Eastern countries in the field of waterpipe/cigarette smoking, the shares of social networks, namely Dimensions, Mendeley, and Twitter, were the most. The most significant number of citations of the articles on Mendeley and Twitter belonged to U.S. and U.K. users. Also, medicine and dentistry had the highest number of Mendeley citations. The correlation coefficient between the altmetrics score and citation index was poor but significant (R=0.32, P <0.05). The publication of research papers on the social web (i.e., social networks) increases the visibility of the documents and makes them visible to a broad audience. This is effective in the future of citations of articles on citation databases. This further increases the qualitative performance indices of the papers by receiving more citations. [ABSTRACT FROM AUTHOR]

This scientometric research was conducted through correlation-analysis, and intended to assess the correlation between publications and patents both in developed countries and in Iran. The present study was performed using scientometric methodology and used USPTO for patent data and Scopus for publication data from 2015 to 2019. This study applied both parametric and non-parametric statistical analyses. Moreover, the Spearman Correlation analysis was used to determine the correlation between variables and types of variables. The data analysis was conducted using SPSS1 software. The relationship between these two variables was significant in each of the years under study. Different types of scientific documents, such as books, articles, and conference papers, were assessed. The Pearson Correlation analysis between these types of documents showed significance at 0.01 level in the articles with the correlation coefficient of 0.858, books with the correlation coefficient of 0.867, and conference papers with the correlation coefficient of 0.874, which was related to the extent of patenting. The subject areas related to social sciences and humanities, engineering and technical sciences, medical sciences, and biological sciences with the correlation coefficients of 0.866, 0.861, 0.843, and 0.834, respectively, at 0.01 level, revealed a significant relationship between the studied countries' scientific output in these subject areas and the extent of patenting. The results of the present research showed that there was a positive relationship between the studied countries' scientific output and their level of patenting. The countries that enjoy high levels of scientific output have more inventions. However, the results for Iran indicated that the growth in scientific output has had an insignificant effect on the country's invention rate. [ABSTRACT FROM AUTHOR]

Defence Science Journal (DSJ) is the Defence Research & Development Organisation (DRDO), India's peer-reviewed research journal in defense science and technology research. This paper presents a bibliometric analysis of 1855 scholarly communications published in the journal during 1994 and 2020. The publications have been searched, identified, and downloaded from the Clarivate Analytics Web of Science Core Collection Database for 27 years, i.e., from 1994 to 2020. Software such as bibliometrix R-package Biblioshiny, VOSviewer, HistCite, and BibExcel have been successfully used to analyze the collected data. The study covers different features like types of documents, growth patterns, prolific authors, countries and institutions, and most cited sources. The majority of the publications were published in 2017. Researchers from the native country, India contributed the maximum number of articles (1405). The findings further indicate that the most prolific institution is the Indian Institute of Technology, which ranks top with 206 publications. The present study highlights the theoretical and empirical importance of the publications published in the DSJ over the past 27 years. [ABSTRACT FROM AUTHOR]

Today, academic research plays a very influential role in the economic development of countries. These researches are often recorded and disseminated in the form and structure of theses and dissertations in scientific institutes. The better the quality of this data in the systems that collect and distribute it, the more it can be used and exploited by organizations and businesses. Therefore, providing this data requires proper monitoring to put the output of the recording and dissemination process in good condition. This paper offers a framework for evaluating theses and dissertation data quality. In the framework, the data inconsistency coding structure is introduced and presented in Word and PDF files and in the form of metadata (bibliographic information). The approaches presented in data quality methodologies (TDQM and DWQ) are also used to provide solutions to improve data quality in the provisioning phase. At this stage, approaches such as owner attribution to data or process, root cause analysis, process control, and continuous monitoring are considered. The focus group method determines the operational strategies for quality improvement. Finally, process-oriented techniques, such as quality control checklists and image processing, and data-driven approaches, such as data cleansing, are localized and developed in this section to improve the quality of theses/dissertation documents. The provided improvement solutions were categorized into two different groups. Guiding the user in the "Theses/Dissertations" registration process is identified as a process-driven category. On the other hand, introducing a specific format for "Theses/Dissertations" files and resolving the quality issues of PDF files were among the data-driven solutions. [ABSTRACT FROM AUTHOR]

This paper provides a systematic review of scientific resources to determine the components and indicators of the scholarly publication system. The research community includes 1070 documents from Scopus and the Web of Science databases. Another researcher was used to determine the degree of accuracy, reliability, and quality of the final documents, and the agreement between the two researchers was calculated with the Kappa coefficient. Finally, 331 documents were studied in full text. Possible components and indicators were identified from these documents, and their information was entered into Excel software. Based on the frequency and similarity of the contents, the conceptual framework of the scholarly publication system was designed. Research findings show that the main components of this system include infrastructure, technology, management, access, evaluation, support, language, communication, control, education, and ethics. Each of the components also has specific indicators and sub-indicators. Some issues, such as rights, laws, regulations, standards, repositories, scientific players, and centers, are not mentioned among the components because these concepts are integrated into other parts. [ABSTRACT FROM AUTHOR]

The dark web is considered an expansion of the deep web, intentionally hidden from the surface web. It can only be accessed with a particular group of browsers that allow the user to stay anonymous while navigating the dark web. With the untraceable hidden layer of the Internet and the anonymity of the users associated with the dark web, several impressive cybercrimes have been reported. This paper aims to examine the impact of the dark web on society. The article systematically reviews relevant academic literature and books to understand how the dark web works and its societal effects. The study has found that the dark web is an enabler of several cybercrimes. Moreover, while governments and regulatory authorities have introduced strategic detection techniques on the dark web, cybercriminals are adaptive towards the strategies and, given time, will usually find ways to bypass such detection techniques. It is recommended that the regulatory authorities and cyber threat intelligence periodically review the detection techniques for effective monitoring. Furthermore, security agencies or forensic analysts should ensure that they are updated with the latest scientific knowledge on the safe management of the dark web by undertaking more training in cyber security. There is also a need for further research to focus on awareness campaigns about the dangers of the dark web. [ABSTRACT FROM AUTHOR]

Cloud computing (CC) has been a buzzword in recent years. The application of cloud computing has been seen in almost all domains. It has also sparked interest in Libraries and the Information field because it provides new solutions to the emerging problem. The study aims to map LIS's global cloud computing literature between 2010 and 2021. Scientometric methods were employed to gauge the global research performance on cloud computing LIS. The analysis also identifies the leading countries, Institutions, authors, sources, funding agencies, authorship pattern, international collaboration, and most used author keywords on CC literature in LIS. The research data were retrieved from the Scopus database. 808 publications were downloaded and analyzed with the help of bibliometric tools such as Biblioshiny, Bibexcel, VOSviewer, and Microsoft Excel. The study results showed that research on cloud computing in LIS has a mounting trend in publications and citations during the 12-year study period. The highest number of research papers were published in 2020 (n=135), China produced the maximum research in the field with 194 publications, and the top three organizations identified from Taiwan contributed the maximum research. Cloud computing, big data, and Knowledge Management were acknowledged as LIS researchers' most important research area. However, e-learning, library services, systematic reviews, bibliometrics, and blockchain have gained recent research absorption. Two authorship patterns were the most prevalent among the LIS researchers, and the authors from China and the USA preferred to collaborate highest in the field. [ABSTRACT FROM AUTHOR]

For many years now, big data has revolutionized the world. Today, companies know that creating the most value from their data is essential for their growth. However, not all big data projects are successful; in fact, it is fundamental for companies to make the correct assessment of their capabilities and identify the potential problems to address before the starting point, and this is through maturity models. In previous work, we proposed a new Maturity Model and its framework to track companies' progress toward successful big data implementation. We identified and categorized the factors influencing big data projects into six categories: strategy alignment, data, people, governance, technology, and methodology. The model provided a final score representing the readiness level for an organization to start its big data implementation. In this paper, we focus specifically on the Global Big Data Maturity assessment tool results. We analyze the importance of maturity domains and detail the final score calculation method using the AHP technique. For this research, we reached out to nineteen North African companies' big data experts to give us input about their ongoing projects, and the steps are: (1) Collect nineteen big data expert's ranks for each maturity domain using online forms; (2) Use these ranks alongside the Analytic Hierarchy Process method to have the domain's weights, which were [0.173, 0.278, 0.128; 0.190; 0.064; 0.166], respectively for the domains [strategy alignment, data, people, governance, technology, and methodology]; Then (3) use the domain's weights alongside assessment inputs, to calculate accurate weighted scores. As a result, AHP ranks show that the data dimension has the most impact on big data projects' success, followed by strategy, methodology, governance, people, and, last but not least, technology. The framework dashboards show that most interviewed North African companies have great big data maturity levels. [ABSTRACT FROM AUTHOR]

This paper analyzes and compares selected open access self-archiving policies of various repositories of elite organizations registered in OpenDOAR, ROAR, and ROARMAP databases to report a multi-faceted panoramic overview on open access archiving policy. This paper discusses three open-access policies, viz. archiving policies, version policies, and withdrawal policies against different parameters. These policies and related issues have been discussed based on existing scholarly literature and best practice guidelines available at the national and international levels. The purpose of this paper is to suggest best practice guidelines and to provide a roadmap for developing an institute-specific IDR (the institutional digital repository) in the line of global recommendations. A total of 161 repositories were selected after overlap checking and based on the selection parameters mentioned in the methodology section. All these policies mentioned above must be formulated properly as it is found that the majority of IDRs do not have such policy guidelines. Some of the key issues are not properly covered and missing in literature even within the policy. Finally, recommendations have been made against each policy to develop IDRs globally. The paper's outcomes will be useful to future researchers and policymakers who will set up IDRs or have already developed IDRs for their organization. The outputs/results of this study may be used as a guiding tool and helpful to the open-access advocates, including policymakers’ library professionals, in developing repository policy for their organization. The policy framework could also be adapted to any institution irrespective of size and geographic location. [ABSTRACT FROM AUTHOR]

Scientific collaboration indicates active teamwork between researchers beyond the simple exchange of material or information. This study is a systematic review of the papers published by Iranian researchers, aiming to provide comprehensive indicators, methodologies, and software used for evaluating scientific collaboration. According to guidelines of the Cochrane Handbook, the national and international databases were used for searching by English and Persian keywords without any time limitations. The retrieved articles were managed using EndNote software. By applying the inclusion and exclusion criteria, 201 articles remained for this review. These articles were selected from 93 domestic and foreign journals between 2000 and 2019. The studies used 16 software to extract and analyze scientific collaboration indicators. Systematic review shows that bibliometric and network analysis methods were the main approaches used in scientific collaboration studies among papers published by Iranian researchers (93.5%). More than 25 indicators were extracted from these studies, and they were categorized into patterns of collaboration and co-authorship network analysis. Researchers have revealed an increasing interest in the factors affecting scientific collaboration in recent years. The present study provides comprehensive information on the articles published by Iranian researchers on scientific collaboration. The methodologies and software were identified that are most often used to evaluate scientific collaboration and adapted to direct future research. Still, a variety of indicators situates them in heterogeneous methods of research. This analytical perspective does not locate the evaluation of scientific collaboration at a single spot. Future scientific collaboration studies will continue to evolve to offer more powerful indicators for assessing the knowledge flow status quo. [ABSTRACT FROM AUTHOR]

Studying the social impact of scientific outputs on social media alongside their professional impact in the scientific database could lead the policymakers to outline the scientific roadmap. The current research aimed to investigate the relationship between altmetrics activity (social impact) and the quality of the maternity and midwifery journals (professional impact) indexed by Scopus in 2018. In this descriptive and relational research, altmetric and bibliometric indicators were utilized to study journal performance. The population included all maternity and midwifery journals in the Scopus (n=25). Altmetric Explorer, Scopus, Scimago Journal, Country Ranking (SJR), plus Journal Metrics were used for data gathering. Moreover, data analysis was conducted using descriptive and inferential tests in Microsoft Excel and SPSS. Of the 1944 papers with unique DOIs published in maternity and midwifery journals in 2018, 952 articles were mentioned at least one time on social media platforms (altmetrics coverage of 48.97%). The highest rank of the altmetrics coverage belonged to the Midwifery journal, The Journal of Perinatal and Neonatal Nursing, and Women and Birth, respectively. On the other side, the highest rank of the altmetrics attention belonged to Breastfeeding Medicine, The Journal of Perinatal and Neonatal Nursing, and Geburtshilfe und Frauenheilkunde, accordingly. There was a positive and statistically significant relationship between the altmetrics activity of journals and their qualitative metrics. The current research revealed that papers published in higher quality journals are more likely to be shared on social media platforms and get more altmetrics attention. [ABSTRACT FROM AUTHOR]

As one of the main bibliometric concepts, co-authorship has been thoughtfully considered in recent years. Despite many bibliometric studies on the co-authorship in different scientific fields and worldwide countries/regions, Iranian researchers' collaboration in the management field has not been studied. This study aimed to investigate the co-authorship networks in the management papers contributed by Iranian researchers indexed in the Web of Science (WoS) during the recent half-century (years, 1969-2018). Bibliometric data on 5414 papers were extracted from WoS and analyzed in Excel, UCINET, and VOSviewer to measure bibliometric indicators, the map needed co-authorship networks, and depict time-based maps and keyword clustering. Findings showed that co-authored papers increased from two items in 1973 to 721 items in 2018. Expert Systems with Applications, African Journal of Business Management, and International Journal of Production Research were ranked first to third in co-authored papers. Top 20 authors published about 17% of papers (946). Islamic Azad University, University of Tehran, and the Amirkabir University of Technology ranked first to third. Most co-authorship frequencies were made from 2012 to 2014. The first to third ranks of collaborating countries were the USA, Canada, and England. Six main keyword clusters were formed, including main topics in the field. In conclusion, Iranian researchers increasingly co-authored in management, especially during the last decade, and published in various journals that some top ones are prestigious journals. However, some gaps need to be bridged by the low contribution of research institutes and universities countrywide and the limited number of authors with high productivity and low collaboration with neighbor countries and influential universities worldwide. [ABSTRACT FROM AUTHOR]

This study accounts for the growth analysis of research output in the knowledge management (KM) domain in Africa, using the Web of Science database between 1974 and 2019. The implication that necessitates this study was the intertwined nature of the KM domain associated with other fields of study. The interpretive content/document analysis was used to extract publications using key terms of knowledge management from the Web of Science database within 45 years. The extract of the document analysis and the presentation of results took four weeks. The findings indicated that 2,564 publications such as articles, conference papers, reviews, and proceedings were the platforms used the most within the period. Management was at the top of the list of subject areas. A top journal that publishes KM papers is the South African Journal of Science. The most productive institutions by affiliation were the University of Cape Town and the University of Pretoria, and inter-continental collaboration in research in KM was affirmed with the United States of America (USA). The National Research Foundation of South Africa is among the top bodies that fund research in Africa. The growth analysis of publication output in KM in Africa indicates a slow productivity rate of 6.4 percent within the period covered. This paper demonstrates that the KM domain remains an evolving and interesting phenomenon, which requires integration in different organizations. Every actualization of work performance today by individuals depends on tacit and explicit knowledge application, which forms the spectrum of KM. [ABSTRACT FROM AUTHOR]

This paper analyzes open access (OA) self-archiving policies of open access repositories of different organizations registered in OpenDOAR, ROAR, and ROARMAP databases. The policies relating to content policies, collection organization policies, metadata policies, submission policies, and multilingual policies, are required to be correctly formulated for the smooth functioning of any repository system on a global scale. The objective is to recommend institute-specific model policy with global recommendations and best practices. The methodology is twofold -- first, to get an overview of policy issues as reflected in existing literature, and second, to analyze policy issues recorded in global registries and individual repositories. It was found that most of the organizations do not have a stated policy. Even within a specific policy, several key issues were missing. The outcomes of this research paper may help future researchers by providing a roadmap towards the successful policy implementation of open access repositories (OARs) in higher academic institutions. The paper may be helpful to the library professionals in devising institute-specific policy and may be a guiding tool to the policymakers. [ABSTRACT FROM AUTHOR]

As the volume and diversity of COVID-19 manuscripts grow, trend topic detection has become a more crucial issue to utilize information from pandemic-specific literature. Latent Dirichlet Allocation (LDA) and bibliometric analysis are common ways of detecting trend topics. In this study, a hybrid approach is suggested by combining both techniques as a novelty perspective to attain comprehensive information. The topics studied in the COVID-19 literature were outlined with the LDA analysis, and then the COVID-19 studies were examined specifically in the field of information systems (IS) with bibliometric analysis. As an outcome of LDA analysis, it has been determined that the topics studied on COVID-19 are concentrated under the categories of clinical studies, epidemiology and transmission of COVID-19, national and global policy responses to the COVID-19 pandemic, and the impacts of the COVID-19. Infodemiology in social media, computer-aided detection methods for diagnosis, information systems for contact tracing and health systems, distance learning solutions, data analytics for modeling and forecasting COVID-19, epidemiology, molecular docking of COVID-19 are primary topics of IS literature in COVID-19 era. This paper assists researchers in providing a comprehensive view of the compatibility of COVID-19 literature at a macro level and in the scope of IS and also offers suggestions for future work by IS researchers. [ABSTRACT FROM AUTHOR]

Many scientific texts are produced in Persian and available in scientific information databases through the Web. In this paper, FarsAcademic, a test collection of Persian scientific texts, has been built to implement information retrieval models among academic search comprising 102238 documents and 61 topics. While constructing FarsAcademic, we have tried to resolve the problems specific to information retrieval (IR) and natural language processing (NLP) in Persian scientific texts. Domain experts were employed to create queries within their research area, and user relevance and topical relevance were applied to improve the precision of relevance judgment of documents. Further, to improve retrieval performance in Persian scientific texts, automated query expansion was applied using one of the relevant feedback techniques, the Local Context Analysis algorithm. The result showed that query expansion techniques outperformed other information retrieval models in the Persian scientific texts retrieval task. Eventually, FarsAcademic became the only one that has been free of charge for Iranian information retrieval scholars to implement and evaluate different information retrieval models and algorithms on Persian scientific text and academic search. [ABSTRACT FROM AUTHOR]

A lower frequency of writing errors facilitates the process of knowledge transfer. In this study, we scrutinized the medical journals highlighting the most frequent and critical writing errors in published medical papers of Iranian English journals. As a sample, 25 published articles were randomly selected from recent issues of five Iranian medical English ISI journals (2019). The frequency of discourse, lexical, grammatical, and mechanical errors was identified. In all five journals, more than 50% of errors are related to grammatical errors. The highest frequency of grammatical errors was in articles (79%), and the singular/plural errors had the lowest frequency in this category. Of Mechanical errors, the highest and the lowest errors were assigned to comma usage (25%) and spacing (5%), respectively. The discourse errors had the third position of error frequency among the journals (7.8%). Also, the lexical portion was without error in these journals. Moreover, there is a statistically significant relationship between the impact factors of journals and Grammatical errors (P<0.001). Statistically, no significant relationship was observed between Mechanical errors and the impact factors of journals (P= 0.57). The highest error frequency among the main sections of articles (introduction, method, result, discussion) was in the discussion section (42.6%), and the lowest error frequency was in the result section (15%). These shortages arose from the difference between the grammars of two languages (native and target language) and the unfamiliarity of academic authors from these linguistic points. Adequate language proficiency and proper use of grammar could help the authors to transfer their knowledge efficiently. The findings of this study can help minimize some language-related difficulties in writing scientific papers in all fields of study. [ABSTRACT FROM AUTHOR]

The present study aimed to investigate the relationship between traditional citation indexes representing hot papers in the field of "Clinical Medicine" and their bookmarking and readership in "Mendeley software". The citation counts of hot papers were extracted from Essential Science Indicators (ESI) and Web of Science (WoS). As an applied research adopting a descriptive-exploratory method, the present study used the Essential Science Indicators to retrieve hot articles published between 2014 and 2016, indexed in the category "Medical Sciences". Each record was then searched in Mendeley to obtain the number of readership of the paper and the academic status of the users. The results showed a significant positive correlation between Mendeley readership and citation indexes in both ESI and WoS. Moreover, the most frequently-cited articles in both databases attracted more readers in Mendeley than lowly-cited publications and both hypotheses were confirmed. Moreover, the findings revealed that Mendeley users had assigned a total number of 3847 tags to the hot papers, with the tags ranging in frequency from zero to 38 for individual articles. Compared with author keywords and Plus, about 10 percent of users' tags were either meaningless or repetitive. The value of present study shows that "Mendeley Sofware" with the possibility of tagging articles, can be used to create a searchable folksonomy of information and as a source of data in information retrieval studies, help professionals to manage their literatures and make their research life easier. [ABSTRACT FROM AUTHOR]

Environment, Social and Governance (ESG) has attracted increasing research interest in sustainable management and decision-making in recent years. To further understand the research status and trend, the purpose of this study is to adopt bibliometric and visual methods to analyze the knowledge structure and the evolution path in the research field of ESG. Based on 1735 papers on ESG in the Web of Science Collection database from 2004 to 2021, this study uses CiteSpace and VOSviewer to present a bibliometric overview of publications, citation structure, authors, universities, countries/regions, journals, and keywords that work on this Topic. Results indicate that scholars increasingly regard ESG as an integrated sustainability analysis framework and pay more attention to the connection among its dimensions. According to the growth trend, ESG may remain a hot research topic for the next few years. The USA is the most productive country, followed by England and China. Journals on ESG research with higher effective factors have higher cocitation frequency and publications. And Sustainable development, corporate governance, corporate social responsibility, ESG, and ESG ratings as the research hotspots are presented. Additionally, this study provides an overview of the ESG research trends for future researchers. This may aid researchers in understanding current patterns and future study paths, allowing future authors to perform their studies more successfully. [ABSTRACT FROM AUTHOR]

Corporate reputation is vital in today's uncertain and challenging business environment. It is crucial for firms' long-term viability, prominence in a competitive market, and relationship with the stakeholders. Research on corporate reputation has been increasing tremendously. This study aimed to perform a bibliometric analysis to find the trends in corporate reputation publications, influential countries, institutions, sources, and scholars and propose a model that could impact corporate reputation. The keyword "corporate reputation" was used as it is a collective view of all stakeholders, by using the TITLE-ABS-KEY, inserted with quotation marks. 1807 publications from 1977 to 2020 were extracted from the Scopus database. Data were exported to Microsoft Excel, Publish or Perish (PoP), and VOSviewer. The trends show increased corporate reputation research, with most corporate reputation studies focusing on business, management, and accounting. The United States accounted for nearly half of the corporate reputation publications, with New York University being the most productive institution. Some of the scholars have been mentioned in this paper. A proposed model has been developed, consisting of corporate image, e-communication, stakeholder, philanthropy, and leadership as the variables that could impact corporate reputation. This model could be further explored using qualitative or case studies. Also, contingency theory could be explored in the corporate reputation area. This study's contribution provides scholars with an overview on the corporate reputation research area. [ABSTRACT FROM AUTHOR]

Traditional citation analysis has been greatly criticized because the process of citation accumulation requires considerable time after publication. So, the term "altmetrics" was proposed in 2010 to measure the scientific and social impact of a paper. According to the deficiencies of traditional citation analysis, we performed a comprehensive search for medical ethics publications using the altmetrics approach from the beginning until 2019. In this descriptive-analytical study, we retrieved the articles discussing any topics relating to medical ethics that published in the Scopus database from the beginning till 2019 using related medical ethics keywords. A total number of 455 articles with altmetrics scores and citations, included in this study. Altmetrics data were extracted via an altmetrics bookmarklet. Dimensions, Mendeley, and Twitter, had prominent sources of attention on social media platforms. The most number of tweets, and Mendeley's attentions, in the medical ethics fields, originated from the United States (US) and the United Kingdom (UK). Moreover, master students have the largest share in the citation of articles in Mendeley. Journal of Medical Ethics and History of Medicine has the most proportion of altmetrics score among Iranian papers in medical ethics. The correlation between the altmetrics score and citation index was significant (p <0.05). The medical ethics researchers have to pay more attention to social activities (such as creating and updating their profiles on social media) on the web for wide dissemination and proper evaluation of their scientific publications. [ABSTRACT FROM AUTHOR]

This paper aims to investigate how a Persian spoken poetry game, called Mosha'ere, can be computerized by using a Persian automatic speech recognition system trained with read speech. To do this, the text and recitation speech of the poetries of the great poets, Hafez and Sa'di, were gathered. A spoken poetry rhyming game called Chakame, was developed. It utilizes a context-dependent tri-phone HMM acoustic modeling trained by Persian read speech with normal speed to recognize beyts, i.e., lines of verses, spoken by a human user. Chakame was evaluated against two kinds of recitation speech: 100 beyts recited formally at the normal rate and another 100 beyts recited emotionally hyperarticulated at a slow rate. About 23% difference in WER shows the impact of the intrinsic features of emotional recitation speech of verses on recognition rate. However, an overall beyt recognition rate of 98.5% was obtained for Chekame. [ABSTRACT FROM AUTHOR]

Safety and health are intricately interwoven and have become indispensable to the thriving business world and anthropology. It is concerned with ensuring employees' physical, emotional, and mental well-being. Based on the Scopus and Web of Science databases, the current study intends to analyse the global research output on machine learning in safety and health. This study utilized ScientoPy and VOSviewer to delve into the annual growth, patterns of research communication on source titles, international collaboration among countries, and authors' keyword analysis. This study found that the Web of Science database tracks the evolution of publications throughout time. PLoS One has surpassed all other source titles in terms of publishing activity. Also, this study indicated that US researchers are constantly working on machine learning in safety and health research and have developed significant collaborations with China and Australia. Between 2020 and 2021, the University of Toronto published 86% of all papers, outpacing other institutions. The keywords "machine learning", "artificial intelligence", "electronic health records", "deep learning", and "mental health" were the most popular and trending keywords in 2020 and 2021, and "artificial intelligence" appeared in most publications among others. Future researchers should conduct scoping or systematic literature reviews to elucidate the relationships between these terms. This study may entice the curiosity of practitioners and researchers to advance new knowledge in this field by being devoted to cutting-edge research in the contemporary philosophy of science, cognitive, and cultural anthropology on machine learning in safety and health research. In conclusion, this scientometric analysis demonstrates that machine learning in safety and health is a study domain that requires further refinement in future research, as this technology has the potential to significantly improve workplace safety and health through targeted applications with clear benefits. [ABSTRACT FROM AUTHOR]

This paper provides a comparative analysis of cross-lingual word embedding by studying the impact of different variables on the quality of the embedding models within the distributional semantics framework. Distributional semantics is a method for the semantic representation of words, phrases, sentences, and documents. This method aims at capturing as much information as possible from the contextual information in a vector space. The early study in this domain focused on monolingual word embedding. Further progress used cross-lingual data to capture the contextual semantic information across different languages. The main contribution of this research is to make a comparative study to find out the superior impact of the learning methods, supervised and unsupervised in training and post-training approaches in different embedding algorithms, to capture semantic properties of the words in cross-lingual embedding models to be applicable in tasks that deal with multi-languages, such as question retrieval. To this end, we study the cross-lingual embedding models created by BilBOWA, VecMap, and MUSE embedding algorithms along with the variables that impact the embedding models' quality, namely the size of the training data and the window size of the local context. In our study, we use the unsupervised monolingual Word2Vec embedding model as the baseline and evaluate the quality of embeddings on three data sets: Google analogy, mono- and cross-lingual words similar lists. We further investigated the impact of the embedding models in the question retrieval task. [ABSTRACT FROM AUTHOR]

Editorial board members (EBMs) of journals play a pivotal role in authentic international scientific journals. Editorial Board Interlocking (EBI) phenomenon reflects the effectiveness and importance of the scholarly journal's editorial boards in various scientific fields. The primary purpose of this paper is to conduct a Social Network Analysis (SNA) of EBI phenomena from the perspective of astronomy and astrophysics journals. The present study is applied research based on EBI, SNA, and the descriptive-analytical approach. The statistical population of this study consists of the editorial board members of all journals of astronomy and astrophysics indexed in the JCR and official journal websites. There are 1597 job positions in 67 astronomy and astrophysics journals occupied by the 1394 scholars. Data analysis shows EBI for 95 scholars and 79 organizations. "Aleksei A. Starobinsky" from Russia and the Russian Academy of Sciences, "Daniel J. Scheeres" from the United States, and the University of Colorado Boulder have the highest EBI contributions in five journals. "Daniel J. Scheeres," with a centrality of 39, has the highest degree of centrality measurement among the EBMs. The presence of more than five times as many men as women indicates that astronomy and astrophysics journals are considered "masculine" by the editorial board. The EBI phenomenon is observed in astronomy and astrophysics journals due to the limited number of peop le eligible for the editorial board. Due to EBI, a limited number of famous scholars are made macro-policies such as publishing the articles, referees selections, and the reviewing process. Astronomy and astrophysics journals have "elite" academic networks. Gender inequality exists among EBMs, and the majority of them are male. Accordingly, these journals are "men's journals.". [ABSTRACT FROM AUTHOR]

This paper aims to synthesize findings drawn from studies on knowledge leadership to identify the key trend of research in the knowledge management literature over the past two decades. A systematic literature review was performed over a data set of 149 related studies published in the international journals indexed by the WoS, SCOPUS, ProQuest, Google Scholar, Emerald Insight, and Elsevier databases between 2001 and 2021. The findings conceptualized the nature of "knowledge leadership" and revealed six core themes focusing on multiple leadership styles, knowledge leadership for learning, effective KM leadership, leader-member exchange, and customer knowledge leadership. Additionally, the content analysis revealed the importance of knowledge leaders being more transformational, distributed, empowering, and visionary. It has been widely reported that transformational leadership is a significant driver of knowledge management practices in the organization. This study provides an integrated picture of effective knowledge leadership for managers and practitioners that significantly depends on a paradigm shift from hierarchical structures and traditional models of leadership to the use of shared, distributed, and networking leadership. Given this increasing interest in studying the role of leadership in KM, it is interesting to investigate the research trend of knowledge leadership in the KM literature. [ABSTRACT FROM AUTHOR]

Communication is the most fundamental process in research; therefore, scientific communication is the main center of the growth and development of the scientific community. Scientific communication means how scientists in each discipline can disseminate their information and knowledge through formal and informal channels. This is usually done through various media such as books, articles, conference papers, etc. This research has been conducted to investigate the scientific collaborations of Dr. Mehrad, "as an impressive specialist" of knowledge and information science in Iran, using the bibliometric method. The findings showed that about 180 works (including 57 books, 52 Persian articles, 22 English articles, 11 research projects and 38 dissertations) had been published by him. The study of Dr. Mehrad's scientific collaborations showed that 27.8% of the works were published as single authors and 72.2% as the group works. Dr. Dayani is at the top of his scientific colleagues with the publication of 9 works. The journals "Library and Information Science", "Social Sciences and Humanities of Shiraz University", "Information Processing and Management," and" Journal of Academic librarianship and information research" were the four journals in which most of Dr. Mehrad's works were published. The fields of "Library and Information Science", "Databases", "Shiraz University", and "Evaluation" are the core topics in which most of his works have been published. [ABSTRACT FROM AUTHOR]

Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion. As a result of these factors, foreign words are used in Arabic text and are known as Arabised words. Arabised words affect the Arabic natural language processing (NLP) task because identifying a correct stem or root from an Arabic word becomes more difficult. Therefore, a more efficient Arabic NLP can be developed if Arabised word removal is part of a pre-processing task. In this paper, we propose an algorithm for detecting and extracting Arabised words as a pre-processing task for an Arabic stemming task. This algorithm is a combination of lexicon-based and rule-based approaches. The lexicon list has been developed based on various sources of Arabic text resources, and the rule-based algorithm has been designed to cater to Arabised words with definite articles and use pattern matching on prefixes and suffixes. To evaluate the effectiveness of the proposed Arabised word removal algorithm on the Arabic NLP task, we use Arabised word removal as part of pre-processing in Arabic stemmers. Three Arabic stemmers are used in our evaluation, namely, light stemming, condition light and ARLS, on three types of Arabic standard datasets. Comparisons were made by measuring the performance of precision, recall and IFC on the stemmers with or without our Arabised word removal pre-processing. Results show that the performance on all the stemmers improves if Arabised word removal is included as part of the stemming's pre-processing. Therefore, an efficient Arabic NLP application or task can be developed if Arabised word removal is included in the pre-processing stage for Arabic NLP application, mainly Arabic stemming. [ABSTRACT FROM AUTHOR]

Considering the essential role of knowledge management in organizations and the importance of knowledge auditing as one of its most vital processes, the purpose of this paper is to reveal the insights and thoughts of authors about knowledge auditing in the articles published during the period 2016-2020 by using the systematic review method. In these articles, the progress and differences in the proposed models and frameworks of knowledge auditing are examined. In this review, 20 out of 50 retrieved articles related to knowledge auditing were reviewed and analyzed. The study of the obtained results shows the progress and changes in authors' attitudes toward knowledge auditing and their attention and focus on the knowledge management process, suggestions, and continuous re-auditing in organizations. [ABSTRACT FROM AUTHOR]

The primary objective of this study is to assess the quality and performance of South and East Asian Open Access Library and Information Science Repositories. The study is segmented into four parts; the first is devoted to quality assessment, and the second is the repositories' performance using the web analysis tool Nibbler and Alexa. In the third segment, the Revised Web Impact Factors (RWIF) were calculated, and the final part represents the Ranking of the repositories in terms of visibility, transparency, and excellence. The results indicate that the Chinese Institutional Repository of the Chinese Academy of Geographic Sciences and Natural Resources Research, CAS, and the Peking University Institutional Repository ranked the first and the second, respectively, with Japanese repositories ranking the last. "Taiwan's Chaoyang University of Technology Institutional Repository" has the most comprehensive collection of resources with varying levels of availability of resources in terms of quality assurance indicators. The authors of this paper are in the dire belief that this study may aid administrators in determining the repositories' strengths and weaknesses to enhance their quality and performance. [ABSTRACT FROM AUTHOR]

The purpose of this study was to investigate the scientific outputs and co-authorship patterns of Azarbaijan Shahid Madani University in the fields of electrical, civil, and mechanical engineering, based on Web of Science (2000-2019). The paper relied on both quantitative and scientometric methods. 1870 and 291 records were retrieved respectively for "Azarbaijan Shahid Madani University" and "the fields of electrical, civil, and mechanical engineering". The questions and assumptions were answered through descriptive and inferential statistics. VOSviewer and SPSS were used respectively for mapping and testing assumptions. The findings showed that the total scientific outputs of electrical engineering in the world, indexed by the Web of Science (2000-2019) were 2,973,902, of which 44,768 records (1.6%) belonged to Iran (rank 16). During the same period, the total civil engineering records was 395,649, of which 11,876 records (3%) belong to Iran (rank 10). In addition, the total scientific outputs of mechanical engineering were 941,586, of which 25,263 records (2.7%) belonged to Iran (rank 12). The findings showed that in Iran Azarbaijan Shahid Madani University in electrical engineering is ranked 36th (2000-2019). The findings showed that Ajami with 43 (17%), Hoveidae with 5 (23%), Gharraei and Mohammad pourfard, each with 10 records (17%), were the top authors in the fields of electrical, civil, and mechanical engineering (2000- 2019), respectively. Also, Ajami with 43 (1000 citations), Najafi with 42 (564 citations), Banaei with 41 records (473 citations), and Oskuee with 16 records (305 citations) have high co-authorship densities (37, 31, 22, and 29, respectively). Moreover, there was no meaningful difference between men and women in electrical, civil, and mechanical engineering in scientific outputs (Sig=0.0927). Furthermore, there was a significant difference in scientific outputs among electrical, civil, and mechanical engineering researchers in departments and university ranks. [ABSTRACT FROM AUTHOR]