A scientometric analysis and visualization of the 50 highly cited papers of Eugene Garfield

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

A scientometric analysis and visualization of the 50 highly cited papers of Eugene Garfield

135-144Eugene Garfield’s contributions to global informetrics and scientometrics literature is significant. In this paper, a scientometric analysis of Eugene Garfield’s 50 highly cited papers is performed. His papers were published in 32 journals including top-ranked journals such as Nature and Science. The top 15 keywords with the strongest citation bursts from 1989 to 2009 and references with strong citation bursts are presented. Co-citation analysis and bibliographic coupling analysis based on source journals using VOSviewer were carried out. The result revealed that keywords 'citation relationship', 'scientific journals', 'biological journal’ and 'self-citations' started to burst/hotspot in 2002. The term 'citation analysis' has the highest number of four years' popularity as citation burst. The study further revealed that the top 50 publications of Eugene Garfield gained 8441 citations of the total citations of 9121 from 254 published documents. Garfield has Total Link Strength of 35 and has received 8511 citations which comes to 93.31% of the total citations and proved his dominance over the collaborators. Ninety percent of the papers (45) published in the USA and above 92% of the citations (8419) were also received from the USA's publications. Just five papers in three journals received 4856 citations (53.23%) of the total 9121 citations. These three journals include three papers in Science (with 3027); one each in Journal of the American Medical Association (with 1323 citations) and The Canadian Medical Association Journal (with 606 citations)

A Scientometric Portrait of Daniel Funk: Publication Productivity, Collaboration Patterns, and Citation Analysis

Scientometrics summarise and analyse the work of eminent researchers. In this paper, we analyse and to some extent celebrate, the infuence of Dan Funk on sport marketing and sport consumer behaviour scholarship. We summarise 1) the scientific indicators of his contribution; 2) research themes; 3) co-authorship patterns (i.e. key collaborators, country, university affiliation, author group size) 4) journals that have published his research; 5) his ideational influencers and influencees. This scientometric profile depicts a 20-year publishing career, the pursuit of complementary research themes, a large number of co-authors and a relatively small number of high-value collaborators, and a willingness to pursue opportunities at different universities (and countries), a process which inevitably expands a researcher’s network

A Scientometric Portrait of Daniel Funk: Publication Productivity, Collaboration Patterns, and Citation Analysis

Purpose: Scientometrics summarise and analyse the work of eminent researchers. In this paper, we analyse and to some extent celebrate, the influence of Dan Funk on sport marketing and sport consumer behaviour scholarship. Design/methodology/approach: We summarise 1) the scientific indicators of his contribution; 2) research themes; 3) co-authorship patterns (i.e., key collaborators, country, university affiliation, author group size) 4) journals that have published his research; 5) his ideational influencers and influencees. His articles were retrieved from the Web of Science (Core collection) and analysed using HistCite, Publish or Perish and VOSviewer software. Findings: The scientometric portrait depicts a 20-year publishing career, the pursuit of complementary research themes, a large number of co-authors and a relatively small number of high-value collaborators, and a willingness to pursue opportunities at different universities (and countries), a process which inevitably expands a researcher’s network. Originality/value: This is the first scientometric portrait of sport marketing and consumer behaviour. The emergence of highly prolific authors is a sign that the related academic fields of sport management, sport marketing and sport consumer behaviour are maturing

A holistic review of cement composites reinforced with graphene oxide

Adopting a holistic review approach, this study started from the scientometric analysis by analyzing the mainstream journals, keywords, scholars, publications, and institutions active in the research of cement composites reinforced with graphene oxide (GO). Further statistical summary of research themes and in-depth discussion addressed the current research findings and gaps in terms of workability, mechanical properties, durability, and other issues when adding GO into cementitious materials. Recommendations for future research were provided, including but not limited to the necessity to study the long-term mechanical properties of cement composites reinforced with GO, and the application of GO in concrete

A Holistic Review of Cement Composites Reinforced with Graphene Oxide

Adopting a holistic review approach, this study started from the scientometric analysis by analyzing the mainstream journals, keywords, scholars, publications, and institutions active in the research of cement composites reinforced with graphene oxide (GO). Further statistical summary of research themes and in-depth discussion addressed the current research findings and gaps in terms of workability, mechanical properties, durability, and other issues when adding GO into cementitious materials. Recommendations for future research were provided, including but not limited to the necessity to study the long-term mechanical properties of cement composites reinforced with GO, and the application of GO in concrete

Data Science: A Study from the Scientometric, Curricular, and Altmetric Perspectives

This research explores the emerging field of data science from the scientometric, curricular, and altmetric perspectives and addresses the following six research questions: 1. What are the scientometric features of the data science field? 2. What are the contributing fields to the establishment of data science? 3. What are the major research areas of the data science discipline? 4. What are the salient topics taught in the data science curriculum? 5. What topics appear in the Twitter-sphere regarding data science? 6. What can be learned about data science from the scientometric, curricular, and altmetric analyses of the data collected? Using bibliometric data from the Scopus database for 1983 – 2021, the current study addresses the first three research questions. The fourth research question is answered with curricular data collected from U.S. educational institutions that offer data science programs. Altmetric data was gathered from Twitter for over 20 days to answer the fifth research question. All three sets of data are analyzed quantitatively and qualitatively. The scientometric portion of this study revealed a growing field, expanding beyond the borders of the United States and the United Kingdom into a more global undertaking. Computer Science and Statistics are foundational contributing fields with a host of additional fields contributing data sets for new data scientists to act, including, for example, the Biomedical and Information Science fields. When it comes to the question of salient topics across all three aspects of this research, it was revealed that a large degree of coherence between the three resulted in highlighting thirteen core topics of data science. However, it can be noted that Artificial Intelligence stood out among all the other groups with leading topics such as Machine Learning, Neural Networks, and Natural Language Processing. The findings of this study not only identify the major parameters of the data science field (e.g., leading researchers, the composition of the discipline) but also reveal its underlying intellectual structure and research fronts. They can help researchers to ascertain emerging topics and research fronts in the field. Educational programs in data science can learn from this study about how to update their curriculums and better prepare students for the rapidly growing field. Practitioners and other stakeholders of data science can also benefit from the present research to stay tuned and current in the field. Furthermore, the triple-pronged approach of this research provides a panoramic view of the data science field that no prior study has ever examined and will have a lasting impact on related investigations of an emerging discipline