Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data

• Published in: Multimedia tools and applications 2023-09, Vol.82 (21), p.32755-32787
• Main Authors: Shukla, Amit K., Seth, Taniya, Muhuri, Pranab K.
• Format: Article
• Language: English
• Subjects: Artificial intelligence; Computer Communication Networks; Computer Science; Coronaviruses; COVID-19; Data Structures and Information Theory; Medical research; Multimedia Information Systems; Psychiatry; Scientometrics; Special Purpose and Application-Based Systems; Viral diseases
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-023-14642-4

With the spread of the deadly coronavirus disease throughout the geographies of the globe, expertise from every field has been sought to fight the impact of the virus. The use of Artificial Intelligence (AI), especially, has been the center of attention due to its capability to produce trustworthy results in a reasonable time. As a result, AI centric based research on coronavirus (or COVID-19) has been receiving growing attention from different domains ranging from medicine, virology, and psychiatry etc. We present this comprehensive study that closely monitors the impact of the pandemic on global research activities related exclusively to AI. In this article, we produce highly informative insights pertaining to publications, such as the best articles, research areas, most productive and influential journals, authors, and institutions. Studies are made on top 50 most cited articles to identify the most influential AI subcategories. We also study the outcome of research from different geographic areas while identifying the research collaborations that have had an impact. This study also compares the outcome of research from the different countries around the globe and produces insights on the same.