Track: COVID-19 Analytics Competition

Abstract

The outbreak of the coronavirus disease first occurred in December of 2019 in Wuhan Hubei province, China. The new acute infectious disease later spread across the world and became a global pandemic. This study seeks to assess the numerous studies published on this topic, particularly artificial intelligence, as one of the top techniques used to combat it. Therefore, a bibliometric analysis of the scientific publications on artificial intelligence and COVID-19 may point to future research directions. This paper conducted a bibliometric analysis of Covid-19 and Artificial intelligence research using the Scopus database, then analyzed using VOSviewer to derive quantitative publication metrics and display coexisting key term networks obtained between 2019 and 2021.  The bibliometric analysis showed that in the co-occurrence of all keywords in COVID-19 and artificial intelligence publications, the words "pandemic" and "covid-19" are the most occurring keywords. As well as an analysis of the co-authorship showed that " the United States" and "India" have the most publications. A tree-map of the distribution of research in Covid-19 and artificial intelligence between different fields revealed that the field where most research is done in medicine (21%), Computer Science (18%), and Engineering (11%). In conclusion, the number of global publications on COVID-19 is expected to rise steeply according to existing growth patterns.