Bibliometric analysis of author count, funding, and citations in AI research

Top 100 Cited Articles on Hematopoietic Stem Cell Transplantation: A Bibliometric Analysis

HE SUBJECT OF THIS ESSAY is a problem in the sociology of science that has long been of interest to me. That problem, a candid friend tells me, is somewhat obscured by the formidable title assigned to it. Yet, properly deciphered, the title is not nearly as opaque as it might at first seem. Consider first the signal emitted by the Roman numeral II in the main title. It informs us that the paper follows on an earlier one, “The Matthew Effect in Science, ” which I finally put into print a good many years ago.’ The ponderous, not to say lumpy, subtitle goes on to signal the direction of this follow-on. The first concept, cumulative advantage, applied to the domain of science, refers to the social processes through which various kinds of opportunities for scientific inquiry as well as the subsequent symbolic and material rewards for the results of that inquiry tend to accumulate for individual practitioners of science, as they do also for organizations engaged in scientific work. The concept of cumulative advantage directs our attention to the ways in which initial comparative advantages of trained capacity successive increments of 7 s

Background.Over the past decades, there has been a rapid change in the gender ratio of medical doctors, whereas gender differences in academia remain apparent. In transplantation research, a field already understaffed with female doctors and researchers, there is little published data on the development in proportion, citations, and funding of female researchers over the past years.Methods.To evaluate the academic impact of female doctors in transplantation research, we conducted a bibliometric analysis (01 January 1999 to 31 December 2018) of high-impact scientific publications, subsequent citations, and funding in this field. Web of Science data was used in combination with software R-Package “Gender,” to predict gender by first names.Results.For this study, 15 498 (36.2% female; 63.8% male) first and 13 345 (30.2% female; 69.8% male) last author gender matches were identified. An increase in the percentage of female first and last authors is seen in the period 1999–2018, with clear differences between countries (55.1% female authors in The Netherlands versus 13.1% in Japan, for example). When stratifying publications based on the number of citations, a decline was seen in the percentage of female authors, from 34.6%–30.7% in the first group (≤10 citations) to 20.8%–23.2% in the fifth group (>200 citations), for first (P < 0.001) and last (P = 0.014) authors, respectively. From all first author name-gender matches, 6574 (41.6% female; 58.4% male, P < 0.001) publications reported external funding, with 823 (35.5% female; 64.5% male, P = 0.701) reported funding by pharmaceutical companies and 1266 (36.6% female; 63.4% male, P < 0.001) reporting funding by the National Institutes of Health.Conclusions.This is the first analysis of gender bias in scientific publications, subsequent citations, and funding in transplantation research. We show ongoing differences between male and female authors in citation rates and rewarded funding in this field. This requires an active approach to increase female representation in research reporting and funding rewarding.

The third AI summer: AAAI Robert S. Engelmore Memorial Lecture

In every scientific field, automated citation analysis enables the estimation of importance or reputation of publications and authors. In this paper, we focus on the task of ranking authors. Although previous work has used content-based approaches or citation network link analyses, the combination of the two with topical link analyses is unexplored. Moreover, previous citation analysis applications are typically limited to a graph based on author citations, or a bipartite graph based on author and paper citations. We present in this paper a novel integrated probabilistic model which combines a content-based approach with a multi-type citation network which integrates citations among papers, authors, affiliations and publishing venues in a single model. We further introduce the application of Topical PageRank into citation network link analysis due to the fact that researchers may be experts in different scientific domains. Finally, we describe a heterogenous link analysis of the citation network, exploring the impact of weighting various factors. Comparative experimental results based on data extracted from the ACM digital library show that 1) the multi-type citation graph works better than citation graphs integrating fewer types of entities, 2) the use of Topical PageRank can further improve performance, and 3) Heterogenous PageRank with parameter tuning can work even better than Topical PageRank.

Epilepsy stands as a prominent neurological disorder, affecting a substantial number of individuals who, unfortunately, do not respond to conventional antiepileptic medications. To unravel the intricate mechanisms underlying epileptic seizures and explore potential therapeutic avenues, researchers have turned to animal models. Among these models, rats have emerged as one of the cornerstones of epilepsy research. This bibliometric analysis embarks on the crucial task of delving into the role of rat models in deciphering the mysteries of epileptic seizures and, notably, pinpointing the most prevalent models in use. Our study harnessed Scopus' citation tracking feature to review a range of research papers dating from 1969 to 2020, all dedicated to the exploration of epileptic seizures in rats. The citations that emerged from this rigorous process were subjected to thematic coding, primarily centered around the specific epileptic animal models employed, and subsequently, comprehensive descriptive statistics were computed. In this effort, we found a total of 1,318 publications that explore the world of rat studies, accumulating a substantial citation count of 44,824 references. This analysis illuminated the invaluable role that research employing rat models has played in shaping our current clinical understanding of epileptic seizures. Notably, several models have emerged as predominant forces in this field, including those induced by pilocarpine, pentylenetetrazole (PTZ), kainic acid (KA), electric kindling, and electroshock. This bibliometric exploration serves as a resounding reminder of the pivotal position that rat models occupy in advancing our comprehension of epilepsy. These findings resonate strongly, underscoring the continued importance of directing research and development funding toward this debilitating disorder, with the ultimate aim of maximizing the benefits for the patients grappling with this condition. The potential to revolutionize our approach to epilepsy and enhance the quality of life for those affected remains a beacon of hope, illuminated by the contributions of these tireless researchers and their trusty rat companions.

Scientific publication must be accountable for its sources, processes and results. This research is based on allegations of diversity citations used in research. These assumptions are influenced by research topics, knowledge development, technology, shifting of the library paradigm, librarian and student competencies. The purpose of this research is to mapping developments literature on thesis Library Information Management (MIP) students. The results of the study can be used as a reference consideration (secondary data) for further research. The research method uses bibliometric citation analysis. Citations are grouped with the help of co-classification mapping theory and will be elaborated descriptively based on predetermined indicators. The total data examined is 63 theses consisting of 2709 literatures. The Indicators used to analyze include the language of literature, the type of literature, the subject of literature, the list of authors along with the title of the essay and the list of publishers. The Citation analysis results include: (1). Analysis of the language of literature is to find out the variety of languages, it can be seen from the increasing use of foreign-language literature. (2). Analysis of the type of literature is to answer the development of literature. (3). Analysis of the subject used to mapping knowledge, the subject is influenced by the research perspective. (4). The essence of the results of the citation analysis using these indicators reveals that the citations in the Information Management and Library thesis of the 2007/2008-2012 / 2013 class vary. The mapping of the literature shows that annually experiencing development, change, and dynamic due to the main factor of technology and student ability.

Introduction: During the past decades, there has been a rapid change in the gender ratio of medical doctors, while gender differences in academia remain apparent. In transplantation research, a field already understaffed with women, there is little published data on the development in proportion, citations and funding of female researchers over the past years. Materials and Methods: To evaluate the academic impact of women in transplantation research, we conducted a bibliometric analysis (01-01-1999 until 31-12-2018) of high-impact scientific publications, subsequent citations and funding in this field. Web of Science data was used in combination with software R-Package “Gender”, to predict gender by first names. A total of 15.498 publications were included, resulting in 39.413 authors’ gender matches. Results: Overall, 14.161 (35.9%) authors were female, and 25.252 (64.1%) male. Globally, an increase in the percentage of female authors is seen since 1999, with a plateau starting in 2012. Female authors received significantly less citations compared to their male colleagues, with median 14 (95% CI 1 – 72) and median 15 (95% CI 1 – 84, p < 0.001) citations per single publication respectively. Differences were most apparent in high-impact publications (>200 citations), with 73.5% male and 26.5% female authors. A total of 6.574 (42.4%) publications reported external funding. From these publications, 2.732 (41.6%) had female and 3.842 (58.4%) had male first authors (p < 0.001). When comparing the 10 countries with the most publications, clear differences in percentages of female authors were seen, with a nearly equal contribution of female and male authors in the Netherlands (47.9% and 52.1%, respectively) and an unequal distribution in Japan (18.5% and 81.5%, respectively) (Figure 1).Conclusion: This study shows differences between male and female authors in citation rates and rewarded funding in transplantation research. Female authors remain underrepresented, with large differences in gender ratios between countries. This requires an active approach to eliminate potential gender bias in research reporting and funding rewarding.

This study used bibliometric analysis and content analysis to explore characteristics and trends of scientometric research authored by researchers in Taiwan based on journal articles and theses. The findings indicated that after the first article on scientometrics was published in 1987, an increasing trend was observed in the number of scientometric-related publications after 2000, indicating that scientometric research received more attention in recent years. The scope of disciplines of researchers was broad, and the number of disciplines continued to increase. This confirms the interdisciplinary nature of scientometric research with relationships that cross over different areas. From the perspective of the authors' disciplines, the largest percentage of the authors were from the fields of library and information science (LIS), followed by business and management, and medical science, but a considerable drop in number was observed in the percentage of LIS. In addition, co-authored articles were dominant. Over half of these articles were classified as inter-institutional collaboration and exhibited a steadily increasing trend. The number of interdisciplinary articles also exhibited an upward trend. Most of the research topics focused on citation analysis and characteristic of literature. The same trends were also found in the top two research methods: general bibliometric analysis and citation analysis. Due to the interdisciplinary nature of scientometric research, the academic backgrounds of the researchers would naturally be diverse. Given this characteristic, this study suggests that the relationship between disciplines of researchers and research topics can be further explored.

PurposeQuantitative bibliometric approaches were used to statistically and objectively explore patterns in the sharing economy literature.Design/methodology/approachJournal (co-)citation analysis, author (co-)citation analysis, institution citation and co-operation analysis, keyword co-occurrence analysis, document (co-)citation analysis and burst detection analysis were conducted based on a bibliometric data set relating to sharing economy publications.FindingsSharing economy research is multi- and interdisciplinary. Journals focused upon products liability, organizing framework, profile characteristics, diverse economies, consumption system and everyday life themes. Authors focused upon profile characteristics, sharing economy organization, social connections, first principle and diverse economy themes. No institution dominated the research field. Keyword co-occurrence analysis identified organizing framework, tourism industry, consumer behavior, food waste, generous exchange and quality cue as research themes. Document co-citation analysis found research themes relating to the tourism industry, exploring public acceptability, agri-food system, commercial orientation, products liability and social connection. Most cited authors, institutions and documents are reported.Research limitations/implicationsThe study did not exclusively focus on publications in top-tier journals. Future studies could run analyses relating to top-tier journals alone, and then run analyses relating to less renowned journals alone. To address the potential fuzzy results concern, reviews could focus on business and/or management research alone. Longitudinal reviews conducted over several points in time are warranted. Future reviews could combine qualitative and quantitative approaches.Originality/valueWe contribute by analyzing information relating to the population of all sharing economy articles. In addition, we contribute by employing several quantitative bibliometric approaches that enable the identification of trends relating to the themes and patterns in the growing literature.

Purpose – The aim of this study is to evaluate the studies related to the management literature such as social anthropology, social psychology, sociology and especially organizational behavior, with the bibliometric analysis method and to guide the studies that will be directed towards the organizational gossip phenomenon in Turkish literature. Design/methodology/approach – The VOSwiever software was used to perform citation analysis, biblographic coupling, co-citation, co-occurrence analysis, co-autorship and bibliometric mapping method using bibliometric citation analysis on a sample of 681 articles, obtained from the Web of Science database. Influential journals, institutions, and trending articles in the gossip research are revealed published between 1990 and 2020. Findings – According to the results of the research, the most studied topics are social media, social network, corporate reputation, power, communication, trust, violence in the field of gossip and proactive behavior, organizational exclusion, corporate social responsibility, social capital, emotional regulation, negative emotions, cynicism, power, reputation, organizational deviation, organizational trust, mobbing, burnout, information seeking behavior in the field of organizational gossip. Discussion – Although there are studies that albeit significant progress to the literature on gossip, the studies for a holistic review of the subject within the scope of the organizational behavior literature remain insufficient. In this vein, future research directions claimed by the trending articles in the field, were examined of organizational gossip at the inter- organizational and organizational level is suggested.

Contemporary Assessment of the Most Cited Clinical, Basic Science, and Guidelines Papers in Urology: A Reference for Urology Journal Club

Research on Artificial Intelligence, especially in the field of machine learning, has exploded in the twenty-first century. AI research in universities has long been funded by a combination of government and corporate sources. The funding of AI research in the contemporary university includes technology companies as both funders and generators of research areas. This paper looks at the links between technology companies and AI research in three areas: first, the ways in which technology companies influence both the content and practices of AI research in universities; second, how university research policies enable conditions that blur traditional boundaries between corporate and academic AI research; and third, how an ethos of ‘open science’, that is increasingly corporatised, moves ideas about AI from universities to companies. We conclude that technology companies influence AI research within established feedback loops in the transformed relationships between economy, society, research, and the contemporary university.

Citation analysis and bibliometric approach for ant colony optimization from 1996 to 2010

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