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

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 rapidly increase. 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 brief content review of the websites that offer bibliographic visualisation about COVID-19. Additionally, we propose a new framework for visually representing bibliometric data pertaining to computer science research and COVID-19. We believe that our method for bibliometric visualisation will benefit future research by serving as a guide. It will serve as a way for conducting COVID-19 bibliometric visualisation, in other areas, not limited to the field of computer science.