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This study aims to examine publications of supply chain management (SCM) researchers from across the world and maps the leadership role of authors and institutions based on how prolific they are in publishing and on network measures of centrality while accounting for the quality of the outlets that they publish in. It aims to inform stakeholders on who the leading SCM scholars are, their primary areas of SCM research, their publication profiles and the nature of their networks. It also identifies and informs on the leading SCM research institutions of the world and where leadership in specific areas of SCM research is emerging from.

Based on SCM papers appearing in a set of seven leading journals over the 15-year period of 2001-2015, publication scores and social network analysis measures of total degree centrality and Bonacich power centrality are used to identify the highest ranked agents in SCM research overall, as well as in some specific areas of SCM research. Social network analysis is also used to examine the nature and scope of the networks of the ranked agents and where leadership in SCM research is emerging from.

Authors and institutions from the USA and UK are found to dominate much of the rankings in SCM research both by publication score and social network analysis measures of centrality. In examining the networks of the very top authors and institutions of the world, their networks are found to be more inward-looking (country-centric) than outward-looking (globally dispersed). Further, researchers in Europe and Asia alike are found to exhibit significant continental inclinations in their network formations with researchers in Europe displaying greater propensity to collaborate with their European-based counterparts and researchers in Asia with their Asian-based counterparts. Also, from among the journals, Supply Chain Management: An International Journal is found to exhibit a far more expansive global reach than any of the other journals.

The journal set used in this study, though representative of high-quality SCM research outlets, is not exhaustive of all potential outlets that publish SCM research. Further, the measure of quality that this study assigns to the various publications is based solely on a publication score that accounts for the quality of the journals, as rated by Association of Business Schools that the papers appear in and nothing else.

By informing the community of stakeholders of SCM research about the top-ranked SCM authors, institutions and countries of the world, the nature of their networks, as well as what the primary areas of SCM research of the leading authors in the world are, this research provides stakeholders, including managers, researchers and students, information that is helpful to them not only because of the insights it provides but also for the gauging of potential for embedding themselves in specific networks, engaging in collaborative research with the leading agents or pursuing educational opportunities with them.

This research is the first of its kind to identify and rank the top SCM authors and institutions from across the world using a representative set of seven leading SCM and primary OM journals based on publication scores and social network measures of centrality. The research is also the first of its kind to identify and rank the top authors and institutions within specific areas of SCM research and to identify future research opportunities relating to aspects of collaboration and networking in research endeavors.

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.

The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.

The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.

In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.

The purpose of this paper is to examine the ten highly ranked journals in finance, and identify the most published authors, most cited articles, top publishing countries, top publishing universities, top publication years and the most discussed topics using keywords.

Using the services of the Web of Science™ (WoS), all the available data about each journal’s published articles were extracted. A total of 6,029 articles containing 23,521 keywords and 208,905 cited references were analysed.

Results indicate that Viscusi, Chemmanur and Statman are the most published authors. The most cited article is Fama and French’s (1993) article – Common risk factors in the returns on stocks and bonds – with 522 citations. The most cited author is Eugene Fama with 2,848 citations followed by Michael Jensen with 1,367 citations. USA and England contributed more articles than any other country, where US University of California System ranked first. “Information”, “risk” and “market” were the most discussed topics. Findings from this study reveal not only the popular authors, articles and topics in the scholarly finance literature, but also the lesser-known areas of research, which may need attention.

It is the first large-scale citation analysis study of its kind, representing data from 178 years of combined publication history.

The purpose of this paper is to analyze author and methodological characteristics in top-tier publications in higher education. As the importance of research in the professoriate continues to grow and faculty face ratcheted-up expectations for prestige in their research, such data are important contextually and historically.

This descriptive study examines 587 articles within four top-tier higher education research journals from 2008 to 2012. Data were open coded and analyzed with a research team, resulting in an intercoder reliability of 0.96.

Results show most authors are assistant professors, overwhelmingly received PhD’s from very high research institutions (Carnegie classification), and currently work in similar institutions. Five degree-granting institutions accounted for 29.0 percent of publications in top-tier journals. Additionally, quantitative research accounted for 60.6 percent of published articles, with regression as the most commonly used analytic technique (34.7 percent).

This study examined only higher education faculty and institutions based in the USA as well as first authors.

These results are meant to provide baseline data for top-tier journals within higher education and might inform conversations about methodological acceptability, respectability of qualitative research, graduate education research requirements, journal editor trainings, and tenure and promotion criteria.

This paper provides an update to previous studies that examined publications in higher education within the last three decades. In addition, this study examines author characteristics, which previous studies have mostly excluded. This study offers empirical data to inform conversations about the state of research in top-tier publications within higher education.

Image Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics.

The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences.

The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area.

This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.

The purpose of this paper is to understand the scholarly contributions to the field of marketing by analyzing top ten journals of marketing.

The marketing journals were selected using SciMago marketing journal list, and SCOPUS database was used to identify the publications of the journals. A total of 9,190 articles were analyzed having 562,322 citation references. Methodologies like Wordle and Gephi were used to understand the most researched keywords and co-citation analysis among top five researchers. This paper also captured the information on most cited article along with author, most published author, most publishing country, most publishing university, the year with maximum publications and most used keywords.

The analysis indicates that “Kumar, V.” is most published author, that is, 68 publications, the most cited article is “On the evaluation of structural equation models” by Bagozzi and Yi (1988) with 6989 citations. The USA contributed the highest 6,720 publications, while University of Pennsylvania, Wharton School topped the list with 235 articles. In 2009, highest publication work was done by publishing 382 articles. “Game theory”, “Pricing” and “Advertising” are most used keywords which have been discussed in the literature.

This analysis will help researchers in understanding the growth in the field of the marketing in recent years and possible direction it could take in future. However, this paper considered only top ten marketing journals as listed in SciMago marketing journal list; therefore, future researchers may incorporate more research journals to get a clearer picture of the field of marketing.

This paper is one of the first attempts in recent time to understand the research work in the field of marketing considering top ten journals.

The purpose of this paper is to examine the classic characteristics of highly cited articles (HCAs) of top-ranked library and information science (LIS) journals and get acquainted with the high-quality works in specific areas of LIS for distinguishing what gets cited and who the prolific authors are.

The HCAs published across the top four LIS journals were downloaded, coded and a database was developed with basic metadata elements for analysis using bibliometric indicators. Lotka’s Inverse Square Law of Scientific Productivity was applied to assess the author’s productivity of HCA. The content analysis method was also used to find out the emerging areas of research that have sought high citations.

Inferences were drawn for the proposed five number of research questions pertaining to individual productivity, collaboration patterns country and institutional productivity, impactful areas of research. The Netherland found to be the potential player among all the affiliating countries of authors and Loet Leydesdorff tops the list among the prolific authors. It is observed that Lotka’s Classical Law also fits the HCA data set in LIS. “Research impact measurement and research collaboration,” “Social networking” and “Research metrics and citation-based studies” are found to be the emerging areas of LIS research.

Researchers may find a way what gets cited in specific areas of LIS literature and why along with who are the prolific authors.

This study is important from the perspective of the growing research field of the LIS discipline to identify the papers that have influenced others papers as per citation count, spot the active and more impactful topics in LIS research.

This study examines the issue of cross‐continental publishing in real estate research to understand the research interaction between the two major English‐speaking countries and to determine if a home bias exists. This study also determines the extent to which authors from other countries publish in US and UK journals, and provide a ranking of non‐US universities and authors. The survey of top US and UK real estate journals from 1993 through 1998 reveals that a home bias exists. The home bias concentration is higher in US journals than in UK journals, while UK journals exhibit more balanced origins, emanating not only from the USA/Canada, but also from Australia, New Zealand and Asia. In addition, the study reveals that the Universities of Reading, Ulster and Glasgow are well placed among European universities, while the National University of Singapore ranks well in Asia. Top US researchers tend to publish exclusively in US journals; likewise the same is observed for UK researchers. However, some notable exceptions are observed. Finally, a possible reason for the home bias could be the different research approaches undertaken by US and UK journals.

This study aims to examine the publishing and citation trends on library service quality (LSQ) in the past five decades (1972–2020). Additionally, this bibliometric study investigates the top authors, countries, organizations, journals, nature of collaboration, highly cited articles and LSQ sub-areas.

Bibliometric analysis has been used to extract data from the Scopus and Web of Science (WOS) databases. A comprehensive search strategy was devised to extract relevant data from both data sources. Finally, 341 Scopus and 212 WOS records were selected. Data analysis has been performed using VOS viewer software, Biblioshiny, Cite Space and Excel.

It was found that a total of 443 items were published in Scopus (n = 341) and WOS (n = 212) during this period. The largest number of studies were published in the year 2019 (n = 29), and the USA was found to be the most productive country, with the most productive organizations, authors and author collaborations. The Texas A&M University in Texas, USA, had the top three most productive authors (Cook C, Thompson B and Heath F) and was the most productive organization. The Performance Measurement and Metrics Journal is on the top of the list. The single author was the prevailing authorship pattern, followed by the two-authors pattern. The most collaborating countries were identified as the UK, Japan, Spain and Bangladesh. The keyword analysis informed that the published literature on LSQ mainly concentrated on academic libraries, Therefore, there is a need further to examine other types of libraries including public, national, special libraries.

To the best of the knowledge, this seems to be the first comprehensive bibliometric study that combined productivity and citations, citation impact to present a holistic picture of the LSQ literature.

Studying the nature of research progress in interrelated research domains is important for evaluating the research productivity and to understand the current trends of the area of research. This study aims to examine a research domain that combines library and information science with information systems (IS).

Quartile 1 journals that cover both subject domains in SCImago were selected for the study. Bibliographic records of the publications during 2010 and 2019 were retrieved from the Scopus database. VOSviewer data visualization tool was used to perform citation, coauthorship, bibliographic coupling, cocitation and co-occurrence analysis. In addition, descriptive and inferential statistics were exploited.

The absence of a consistent association between the number of documents authored and the number of citations received by a researcher was an important finding of the study. The strong association of authors regardless of the different topics they researched and the trend of increasing interest on collaborative research were also highlighted. Moreover, the authors who received the highest number of citations were not always the first authors of the documents which received the most citations. The documents published in information management, information theory and IS journals attained the most citations. The journals, institutions and countries with the highest number of documents and citations were also revealed by the research. Electrical engineering departments showed a higher research productivity, while they were utilized more compared to that of other departments. IS and management, information theory, communication, information retrieval, geographic-based IS and bioinformatics were the six major research areas of the considered domain.

This is the first study related to examining the research progress in a combined subject domain using multiple aspects including, individual performance, institutional progress, geographical contribution and so on. Identifying the major research areas in the combined subject domain can also be considered a novel contribution to the field.