- A bibliometric and co-occurrence analysis of COVID-19–related literature published between December 2019 and June 2020
-
Md. Sayeed Al-Zaman
-
Sci Ed. 2021;8(1):57-63. Published online February 20, 2021
-
DOI: https://doi.org/10.6087/kcse.230
-
-
7,225
View
-
181
Download
-
11
Web of Science
-
12
Crossref
-
Abstract
PDF
- Purpose
The main purposes of this study were to analyze the document types and languages of published papers on coronavirus disease 2019 (COVID-19), along with the top authors, publications, countries, institutions, and disciplines, and to analyze the co-occurrence of keywords and bibliographic coupling of countries and sources of the most-cited COVID-19 literature.
Methods This study analyzed 16,384 COVID-19 studies published between December 2019 and 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 top 500 mostcited documents were analyzed for bibliographic and citation network visualization.
Results The studies were published in 19 different languages, and English (95.313%) was the most common. Of 157 research-producing countries, the United States (25.433%) was in the leading position. Wang Y (n=94) was the top author, and the BMJ (n=488) was the top source. The University of London (n=488) was the leading organization, and medicine-related papers (n=2,259) accounted for the highest proportion. The co-occurrence of keywords analysis identified “coronavirus,” “COVID-19,” “SARS-CoV-2,” “2019-nCoV,” and “pneumonia” as the most frequent words. The bibliographic coupling analysis of countries and sources showed the strongest collaborative links between China and the United States and between the New England Journal of Medicine and the JAMA.
Conclusion Collaboration between the United States and China was key in COVID-19 research during this period. Although BMJ was the leading title for COVID-19 articles, the co-author link between New England Journal of Medicine and JAMA was the strongest.
-
Citations
Citations to this article as recorded by
- Bibliometric and Subject Analysis of 100 Most-Cited Articles in the Field of Art Therapy
Hoda Homavandi, Masoud Motalebi Kashani, Zahra Batooli Journal of Creativity in Mental Health.2024; 19(3): 406. CrossRef - Sustainable business model innovation literature: a bibliometrics analysis
Ling Pan, Zeshui Xu, Marinko Skare Review of Managerial Science.2023; 17(3): 757. CrossRef - A Bibliometric and Co-Occurrence Analysis of Work-Life Balance
Soumi Majumder, Debasish Biswas International Journal of Information Systems and Supply Chain Management.2023; 16(1): 1. CrossRef - A koronavírus-járvány a közgazdasági szakirodalomban. Egy új határterület tudománymetriai elemzése
Ádám Török, Andrea Magda Nagy, Boglárka Konka Közgazdasági Szemle.2023; 70(3): 284. CrossRef - Fault diagnosis of photovoltaic systems using artificial intelligence: A bibliometric approach
Edgar Hernando Sepúlveda-Oviedo, Louise Travé-Massuyès, Audine Subias, Marko Pavlov, Corinne Alonso Heliyon.2023; 9(11): e21491. CrossRef - Current trends in sustainable organization management: A bibliometric analysis
Hellen Ogutu, Youssef El Archi, Lóránt Dénes Dávid Oeconomia Copernicana.2023; 14(1): 11. CrossRef - Gamification in education: A scientometric, content and co-occurrence analysis of systematic review and meta-analysis articles
Somayyeh Nadi-Ravandi, Zahra Batooli Education and Information Technologies.2022; 27(7): 10207. CrossRef - Between panic and motivation: did the first wave of COVID-19 affect scientific publishing in Mediterranean countries?
Mona Farouk Ali Scientometrics.2022; 127(6): 3083. CrossRef - Eye-Related COVID-19: A Bibliometric Analysis of the Scientific Production Indexed in Scopus
Verónica García-Pascual, Elvira García-Beltrán, Begoña Domenech-Amigot International Journal of Environmental Research and Public Health.2022; 19(16): 9927. CrossRef - Bibliometric Analysis of the Scientific Research on Sustainability in the Impact of Social Media on Higher Education during the COVID-19 Pandemic
Saddam Hossain, M. Sadik Batcha, Ibrahim Atoum, Naved Ahmad, Afnan Al-Shehri Sustainability.2022; 14(24): 16388. CrossRef - Modeling the Epidemic Growth of Preprints on COVID-19 and SARS-CoV-2
Giovani L. Vasconcelos, Luan P. Cordeiro, Gerson C. Duarte-Filho, Arthur A. Brum Frontiers in Physics.2021;[Epub] CrossRef - COVID-19 Konulu Medya ve İletişim Çalışmalarının Bibliyometrik Profili
Hikmet TOSYALI Selçuk İletişim.2021; 14(4): 1578. CrossRef
|