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.
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Abstract
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 Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology 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 |
| URI: | http://ir.unimas.my/id/eprint/36950 |
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