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

Akbar, Iskandar and Firman, Azis and Riskha Dora Candra, Dewi and Ansari Saleh, Ahmar and Rusli, Rusli (2020) Co-Authorship Visualization of Research on COVID-19 from Web of Science Data using Bibliometric Analysis. Library Philosophy and Practice (e-journal).

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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.

Item Type:	Article
Subjects:	FMIPA
Divisions:	FAKULTAS MIPA
Depositing User:	Ansari Saleh Ahmar
Date Deposited:	31 Aug 2022 13:50
Last Modified:	08 May 2023 01:11
URI:	http://eprints.unm.ac.id/id/eprint/24504

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