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

Shirley Sylvia, Sulai and Syahrul Nizam, Junaini (2021) Bibliometric Analysis of COVID-19 Research in Information Systems: A Proposed Model. In: 19th IEEE Student Conference on Research and Development (SCOReD), 23-25 Nov 2021, Kota Kinabalu.

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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.

Item Type: Proceeding (Paper)
Additional Information: COVID-19
Uncontrolled Keywords: Bibliometrics, Bibliometric visualization, Data Visualization, Coronavirus disease 2019, Information systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Junaini
Date Deposited: 06 Dec 2021 04:18
Last Modified: 25 Feb 2022 07:43

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