Computer Science Research and COVID-19: A Review of Bibliometric Visualization and Proposed Method

Rachael Rickta, Patrick and Syahrul Nizam, Junaini (2021) Computer Science Research and COVID-19: A Review of Bibliometric Visualization and Proposed Method. In: 19th IEEE Student Conference on Research and Development (SCOReD), 23-25 Nov 2021, Kota Kinabalu.

[img] PDF
syahrul nizam.pdf

Download (359kB)
Official URL:


The pandemic of COVID-19 has accelerated significantly, generating great concern throughout the world. As a result, the quantity of articles and journals published on COVID-19 has increase rapidly. However, these publications do not cover bibliometric visualisation sufficiently, particularly in the computer science field. Thus, the purpose of this article is to conduct a review of the literature on bibliographic visualisation. We analysed four websites that present COVID-19 bibliographic data. Additionally, we propose a framework for visually representing bibliometric data pertaining to computer science research and COVID-19. We believe that our method for bibliometric visualisation will considerably benefit future research by serving as a guide. It will serve as a significant way for conduction COVID-19 bibliometric visualization, in other areas, not limited to the field of computer science.

Item Type: Proceeding (Paper)
Additional Information: COVID-19
Uncontrolled Keywords: COVID-19, Bibliometrics, SARS-CoV-2, Pandemic, Human-computer interaction, Data visualization
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 04:14
Last Modified: 25 Feb 2022 07:53

Actions (For repository members only: login required)

View Item View Item