A Bibliometric Analysis of Highly Cited Artificial Intelligence Publications in Science Citation Index Expanded
Yuh-Shan Ho, Juan-Jose Prieto-Gutierrez

TL;DR
This bibliometric study analyzes highly cited AI publications from 1991 to 2022, revealing publication trends, influential countries, institutions, and authors, and highlighting key articles shaping AI research over three decades.
Contribution
It provides a comprehensive bibliometric analysis of highly cited AI papers, including performance metrics of countries, institutions, and authors, and introduces the use of the Y-index for author performance evaluation.
Findings
United States leads in publication indicators
UK has highest citations per publication for independent and first-author articles
Stanford University and Chinese Academy of Sciences are major contributors
Abstract
This study aimed to identify and analyze the characteristics of highly cited publications in the field of artificial intelligence within the Science Citation Index Expanded from 1991 to 2022. The assessment focused on documents that garnered 100 citations or more from the Web of Science Core Collection, spanning from their publication date to the end of 2022. Various aspects of these documents were analyzed, encompassing document types, the distribution of annual production, the average number of citations per publication, Web of Science categories, and journals. Moreover, the publication performance of countries, institutions, and authors underwent evaluation through six publication indicators and associated citation metrics. To facilitate a comprehensive comparison of the authors research performance, the Y-index was employed. The outcomes of the analysis revealed that a majority of…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · scientometrics and bibliometrics research
