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Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data
Amit K Shukla1, Taniya Seth2, Pranab K Muhuri2
1Faculty of Information Technology, University of Jyväskylä, Box 35 (Agora), Jyväskylä, 40014 Finland.
This study analyzes global Artificial Intelligence (AI) research during the COVID-19 pandemic, identifying key publications, influential AI subcategories, and geographic research trends to understand the pandemic's impact on scientific output.
Area of Science:
- Computer Science, Medicine, Public Health
Background:
- The COVID-19 pandemic necessitated global scientific collaboration and rapid research advancements.
- Artificial Intelligence (AI) has emerged as a critical tool for addressing the pandemic's multifaceted challenges.
Purpose of the Study:
- To comprehensively analyze the global research landscape focused on Artificial Intelligence (AI) in the context of the COVID-19 pandemic.
- To identify key trends, influential publications, research areas, and collaborations within AI-driven COVID-19 research.
Main Methods:
- Bibliometric analysis of top-cited articles related to AI and COVID-19.
- Examination of publication trends, influential journals, authors, and institutions.
- Analysis of geographic distribution and collaborative networks in AI research.
Main Results:
- Identification of the most impactful AI subcategories and influential research articles.
- Mapping of global research output and collaboration patterns.
- Insights into the most productive countries and institutions in AI-driven COVID-19 research.
Conclusions:
- AI has played a significant role in COVID-19 research, with distinct areas and collaborations emerging globally.
- The study provides a data-driven overview of AI's contribution to pandemic response and future research directions.
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