A bibliometric and co-occurrence analysis of COVID-19–related literature published between December 2019 and June 2020
Year: 2021
Type: article
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.
Source: Science Editing
DOI: 10.6087/kcse.230
Author: Md. Sayeed Al-Zaman
Institution: Jahangirnagar University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W3132387141