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

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 r...

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Bibliographic Details
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
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Summary: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.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-023-14642-4