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- W3098195124 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 inthe field of science. In fact, bibliometric analysis may also include a wider overview of thenames of the most influential writers in the area of science. This data analysis would discussthe co-authorship of COVID-19 research covering author productivity and authorcollaboration. The data was collected on 11th May 2020 of Web of Science (WoS) CoreCollection database. The literature review was conducted using the keyword: TOPIC:(covid) AND YEAR PUBLISHED: (2020). The bibliometric analysis is visualized utilizingthe VosViewer software. Type of analysis using co-authorship with unit of analysis areauthors, and countries." @default.
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- W3098195124 date "2020-05-16" @default.
- W3098195124 modified "2023-09-26" @default.
- W3098195124 title "Co-Authorship Visualization of Research on COVID-19 from Web of Science Data using Bibliometric Analysis" @default.
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