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

Authors

Akbar Iskandar, Department of Informatics Engineering, STMIK AKBA, Makassar, IndonesiaFollow
Firman Azis, Department of Communication Science, Universitas Pendidikan Indonesia, Bandung, Indonesia
Riskha Dora Candra Dewi, Department of Medical Record, Politeknik Negeri Jember, Jember, Indonesia
R. Rusli, Department of Mathematics, Universitas Negeri Makassar, Makassar, Indonesia
Ansari Saleh Ahmar, Department of Statistics, Universitas Negeri Makassar, Makassar, IndonesiaFollow

Date of this Version

Spring 5-16-2020

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.