Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model

被引：1

作者：

Sulai, Shirley Sylvia ^{[1
]}

Junaini, Syahrul Nizam ^{[1
]}

机构：

[1] Univ Malaysia Sarawak, Fac Comp Sci & Informat Technol, Kota Samarahan 94300, Sarawak, Malaysia

来源：

19TH IEEE STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT (SCORED 2021) | 2021年

关键词：

Bibliometrics; Bibliometric visualization; Data Visualization; Coronavirus disease 2019; Information systems;

D O I：

10.1109/SCOReD53546.2021.9652705

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A new coronavirus, eventually identified as COVID-19, triggered an outbreak in Wuhan, China, at the end of 2019. It has since spread around the world. This has also resulted in an increase in the number of publications pertaining to COVID-19. However, not much research has examined COVID-19 in information systems using bibliometrics. The purpose of this work is to develop a model for visualising COVID-19 research in information systems using bibliometric data. We did a brief survey of the literature in this study, followed by an analysis of related work. We anticipate that our proposed model will aid future researchers who wish to undertake bibliometric visualisations utilising it.

引用

页码：19 / 23

页数：5

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