A bibliometric and co-occurrence analysis of COVID-19–related literature published between December 2019 and June 2020

Md. Sayeed Al-Zaman

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scientometrics and bibliometrics research Academic Publishing and Open Access Psychology Research and Bibliometrics

Abstract

Abstract This study analyzes N =16384 COVID-19-related literature published between December 2019 to June 2020. The data were extracted from the Web of Science database using four keywords: “COVID-19”, “Coronavirus”, “2019-nCoV”, and “SARS-CoV-2”. The analysis found that almost all but a tiny number of the papers are published in 2020 (95.16%). Of the 15 types of publications, article (40.015%) is on the top of the list. All publications are in 19 different languages where English (95.313%) is the dominant one. A total of 159 countries produce COVID-19-related researches, and the USA (25.433%) is in the leading position. According to the findings, Wang Y ( n =94) is the top author, and the British Medical Journal (BMJ) ( n =488) is the top source. Also, the University of London ( n =488) is the leading organization with the highest number of papers, and medicine-related papers ( n =2259) are the highest in numbers. Apart from these novel findings, this study is perhaps the largest COVID-19-related bibliometric analysis to date.

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References

2020A Bibliometric Analysis of COVID-19 Research Activity: A Call for Increased Output 2020A Bibliometric Analysis of Covid-19 Research using VOSviewer 2020Current status of global research on novel coronavirus disease (COVID-19): a bibliometric analysis and knowledge mapping 2020Unprecedented surge in publications related to COVID-19 in the first three months of pandemic: A bibliometric analytic report 2020Coronavirus Disease (COVID-19): A Machine Learning Bibliometric Analysis 2019A Bibliometric Analysis of the Top 30 Most-cited Articles in Gestational Diabetes Mellitus Literature (1946-2019)2020Bibliometric analysis of global scientific research on Coronavirus (COVID-19)2020COVID-19 will stimulate a new coronavirus research breakthrough: a 20-year bibliometric analysis

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