Fourth Fifth International Conference on Science and Technology Metrics (STMet 2024)
 

 

Global Research On Artificial Intelligence: A Scientometric Study
Keshava, Shankar B Chavan
Professor Department of Studies and Research in Library and Information Science Tumkur University, Tumkur., Deputy Librarian Central Library, Indian Institute of Technology Delhi
Abstract: The study’s primary objective is to map the global research landscape in artificial intelligence (AI). For this study, the data were extracted from the Scopus Bibliographic database using “artificial intelligence” for the publications under various journals dated 2014 to 2023 publications in journals. The publication growth significantly increased approximately nine-fold in 2023 compared to 2014, and the doubling time (Dt) was 0.62. 77.49 per cent of publications were articles; the average citation is 22.57, whereas the citations per publication to the review is 40.14. The average citation per publication increases as the number of authors increases. Eight of the top ten source titles were open access, indicating that authors prefer to publish in open-source journals. Of the top ten institutions, four institutes were from China. In keyword analysis, artificial intelligence is strongly related to computations and applications in health and medical sciences.
Keywords: Artificial intelligence, Scientometrics, Research analysis, Growth analysis, Technology trend analysis Global Research On Artificial Intelligence: A Scientometric Study
DOI:https://doi.org/10.6025/stm/2024/5/117-130
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