Co-Authorship Visualization of Research on COVID-19 from Web of Science Data Using Bibliometric Analysis

Iskandar, Akbar and Aziz, Firman and Dewi, Riskha Dora Candra and Rusli, R and Ahmar, Ansari Saleh (2020) Co-Authorship Visualization of Research on COVID-19 from Web of Science Data Using Bibliometric Analysis. Library Philosophy and Practise (e-journal), 4528. pp. 1-9. ISSN 1522-0222

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Abstract

Bibliometric analysis is one of the research approaches that utilizes quantitative and mathematical data to address problems posed in the context of visualization to see patterns in the field of science. In fact, bibliometric analysis may also include a wider overview of the names of the most influential writers in the area of science. This data analysis would discuss the co-authorship of COVID-19 research covering author productivity and author collaboration. The data was collected on 11th May 2020 of Web of Science (WoS) Core Collection database. The literature review was conducted using the keyword: TOPIC: ("covid") AND YEAR PUBLISHED: (2020). The bibliometric analysis is visualized utilizing the VosViewer software. Type of analysis using co-authorship with unit of analysis are authors, and countries.

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