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Loet Leydesdorff (mentioned as Loet in the following) passed away in March 2023. Our paper is dedicated to the important contributions of this exceptional researcher (in scientometrics). We investigated which studies, theories, methods, and ideas have influenced Loet's scientific work. The method reference publication year spectroscopy (RPYS) can be used to answer this and related questions. Many RPYS studies have been published regarding the historical roots of research fields, journals, and scientists. The program CRExplorer was specifically developed for RPYS. In this study, we used CRExplorer to investigate the historical roots and influential publications of Loet's oeuvre. The results demonstrate the wide range of topics in Loet's research and their fundamental meaning for the scientometric field. [ABSTRACT FROM AUTHOR]

In recent years, high-growth entrepreneurship (HGE) research has gained increasing importance. For this reason, it is considered necessary to analyze papers that have had the most significant impact on the development of the discipline and that should be familiar to all researchers. Building new knowledge on these works is important because it provides legitimacy and coherence to the future development of this research field. Thus, this paper aims to identify and characterize the classic articles in the field of HGE, a line of research that has seen significant growth in the last 30 years. The H-Classics method is used to identify these papers. Subsequently, several bibliometric aspects of this collection are analyzed, such as the forums of journals where they have been published, the most productive authors, the patterns of collaboration, and an analysis of the conceptual structure through co-word analysis. Exhaustive content analysis is carried out to complement this vision, identifying the proposed objectives, methodologies, types of data, analysis techniques used, and their main contributions in three consecutive periods. The results are of value to researchers interested in high-growth firms because they allow us to understand the foundations on which this discipline has been built through its classics and to determine its main challenges for the future. [ABSTRACT FROM AUTHOR]

With the announcement of the retirement of Microsoft Academic Graph (MAG), the non-profit organization OurResearch announced that they would provide a similar resource under the name OpenAlex. Thus, we compare the metadata with relevance to bibliometric analyses of the latest MAG snapshot with an early OpenAlex snapshot. Practically all works from MAG were transferred to OpenAlex preserving their bibliographic data publication year, volume, first and last page, DOI as well as the number of references that are important ingredients of citation analysis. More than 90% of the MAG documents have equivalent document types in OpenAlex. Of the remaining ones, especially reclassifications to the OpenAlex document types journal-article and book-chapter seem to be correct and amount to more than 7%, so that the document type specifications have improved significantly from MAG to OpenAlex. As another item of bibliometric relevant metadata, we looked at the paper-based subject classification in MAG and in OpenAlex. We found significantly more documents with a subject classification assignment in OpenAlex than in MAG. On the first and second level, the classification structure is nearly identical. We present data on the subject reclassifications on both levels in tabular and graphical form. The assessment of the consequences of the abundant subject reclassifications on field-normalized bibliometric evaluations is not in the scope of the present paper. Apart from this open question, OpenAlex seems to be overall at least as suited for bibliometric analyses as MAG for publication years before 2021 or maybe even better because of the broader coverage of document type assignments. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to commemorate the late scholar Loet Leydesdorff for his great academic contribution on the basis of data from Web of Science. In the span of more than 40 years, he had 526 publications, with the years 2004-2021 being the most productive (394 publications). His international collaborations spread widely across 36 countries, with Germany, the USA, the UK, China, Russia, and South Korea being the most significant. His most frequent collaboration partners included Lutz Bornmann (Germany), Staša Milojević (USA), Caroline Wagner (USA), Henry Etzkowitz (USA), Jonathan Adams (UK), Ronald Rousseau (Belgium), and Ping Zhou (China). With a broad and deep knowledge background, Leydesdorff's research extended across multiple disciplines and fields, but he was most active in library and information science and computer science. He made profound contributions to the study of bibliometrics, innovation systems (the Triple Helix model), and communications. Leydesdorff had a remarkable and extensive citation impact, with citations in 221 WoS subject categories from 120 countries. His publications in 1996, 1998, 2000, 2005, 2006, and 2012 are highly cited, and those on university-industry-government relations (the Triple Helix model) are the most cited. [ABSTRACT FROM AUTHOR]

The aim of this article is to explore the editorial response of journals to research articles that may contain methodological errors or misconduct. A total of 17,244 articles commented on in PubPeer, a post-publication peer review site, were processed and classified according to several error and fraud categories. Then, the editorial response (i.e., editorial notices) to these papers were retrieved from PubPeer, Retraction Watch, and PubMed to obtain the most comprehensive picture. The results show that only 21.5% of the articles that deserve an editorial notice (i.e., honest errors, methodological flaws, publishing fraud, manipulation) were corrected by the journal. This percentage would climb to 34% for 2019 publications. This response is different between journals, but cross-sectional across all disciplines. Another interesting result is that high-impact journals suffer more from image manipulations, while plagiarism is more frequent in low-impact journals. The study concludes with the observation that the journals have to improve their response to problematic articles. [ABSTRACT FROM AUTHOR]

COVID-19 has greatly impacted science. It has become a global research front that constitutes a unique phenomenon of interest for the scientometric community. Accordingly, there has been a proliferation of descriptive studies on COVID-19 papers using altmetrics. Social media metrics serve to elucidate how research is shared and discussed, and one of the key points is to determine which factors are well-conditioned altmetric values. The main objective of this study is to analyze whether the altmetric mentions of COVID-19 medical studies are associated with the type of study and its level of evidence. Data were collected from the PubMed and Altmetric.com databases. A total of 16,672 publications by study types (e.g., case reports, clinical trials, or meta-analyses) that were published in the year 2021 and that had at least one altmetric mention were retrieved. The altmetric indicators considered were Altmetric Attention Score (AAS), news mentions, Twitter mentions, and Mendeley readers. Once the dataset of COVID-19 had been created, the first step was to carry out a descriptive study. Then, a normality hypothesis was evaluated by means of the Kolmogorov–Smirnov test, and since this was significant in all cases, the overall comparison of groups was performed using the nonparametric Kruskal–Wallis test. When this test rejected the null hypothesis, pairwise comparisons were performed with the Mann–Whitney U test, and the intensity of the possible association was measured using Cramer’s V coefficient. The results suggest that the data do not fit a normal distribution. The Mann–Whitney U test revealed coincidences in five groups of study types: The altmetric indicator with most coincidences was news mentions, and the study types with the most coincidences were the systematic reviews together with the meta-analyses, which coincided with four altmetric indicators. Likewise, between the study types and the altmetric indicators, a weak but significant association was observed through the chi-square and Cramer’s V. It can thus be concluded that the positive association between altmetrics and study types in medicine could reflect the level of the “pyramid” of scientific evidence. [ABSTRACT FROM AUTHOR]

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This study analyses the thematic and conceptual structure of the Spanish scientific production published in Emerging Sources Citation Index (Web of Science) journals. In this way, the aim is to identify the closest links between concepts and terms based on the co-occurrence of keywords used by the authors of the papers analysed, and also to point out the theoretical foundations that exist in the discipline through the co-citation relationships of articles in the bibliography of the documents in the sample. Finally, these results were compared with those obtained from the analysis of Spanish scientific production in Social Sciences Citation Index (SSCI). To achieve these objectives, a network analysis of the co-occurrence of keywords and co-citation of references in articles published in Communication journals between 2015 and 2021 in ESCI (N = 3,559) and SSCI (N = 1,738) with at least one author linked to a Spanish institution was carried out. The results point to similar structural cohesion values and to a thematic and methodological similarity between both sets observed. There is a marked tendency towards quantitative studies on new technologies. While in SSCI there is an almost absolute dominance of Journalism studies, in ESCI there is a greater diversity of other disciplines such as Audiovisual Communication or Advertising. However, the intellectual structure of the production in SSCI reflects a more specialised character than in ESCI. [ABSTRACT FROM AUTHOR]

This study conducts a comprehensive bibliometric analysis and mapping of the scientific production of Loet Leydesdorff. Leveraging bibliometric techniques, the research aims to explore the breadth and impact of Leydesdorff's scholarly contributions. The analysis includes an examination of his publication patterns, citation impact, and collaborations over time. Additionally, mapping techniques will be employed to visually represent the networks and interdisciplinarity associated with Leydesdorff's work. The study provides insights into the evolution of his research interests, the influence of his contributions within the scientific community, and the interdisciplinary connections inherent in his body of work. [ABSTRACT FROM AUTHOR]

The current trends and challenges in the field of bibliometrics are reviewed. To do so, we take the reader along a bibliometric route with six stations: the explosion of databases, the inflation of metrics, its relationship to Data Science, searching for meaning, evaluative bibliometrics, and diversity and profession. This evaluation encompasses three dimensions of the bibliometrics field regarding research evaluation: the technological, the theoretical, and the social. Finally, we advocate for the principles of an evaluative bibliometrics, balancing the power of metrics with expert judgment and science policy. [ABSTRACT FROM AUTHOR]

This is a homage to Loet Leydesdorff, professor and leading scientist. Through the combination of overlay maps, a visualization technique proposed by himself and Ismael Ràfols, together with the CAMEOs (Characterizations Automatically Made and Edited Online) proposed by Howard White, we project his scientific trajectory in five different scenarios, which turn out to be complementary. For each of the scenarios or CAMEOs, we show how he acts and interacts from the point of view of scientific research, providing the reader with online access to an interactive VOSviewer tool, so that he can check the information presented here, and even go deeper into the analysis. In fact, we encourage him to do so. To sum up, we can say that Loet was a brilliant scientist, a lone wolf who enjoyed collaborating with the best minds in his main research topics: scientific communication, innovation systems, bibliometrics, and science mapping; becoming in turn the reference point of these areas of research. [ABSTRACT FROM AUTHOR]

Official statistics provide information on different areas of citizens' lives and are widely used in scientific research as a source of data due to their open data nature and quality assurance. In this context, a bibliometric analysis is carried out using all Scopus publications from 1960 to 2020 that use official statistics as data sources. Thus, 10,777 publications are analyzed using the SciMAT bibliometric analysis software, providing a complete conceptual analysis of the main research topics in the literature through the quantification of the main bibliometric performance indicators, identifying the most important authors, organizations, countries, sources, and intellectual structures corresponding to the main fields of research and bringing classification by subject area as an innovation to the methodology. [ABSTRACT FROM AUTHOR]