Mapping the Landscape of Literature on Use of AI in Libraries: A Bibliometric Analysis Using Scopus Database

Abstract

The study aims to scientifically map the research papers on applications of artificial intelligence or AI in libraries and to analyse its growth pattern from 2013 to 2023 and collaboration network. The study followed a bibliometric approach selecting a decade, 2013 to 2023 for extracting data from the SCOPUS database. Data is analysed using tools like MS Excel, and Bibexcel and bibliometric visualising tools like VOSviewer. The document type for the study was restricted to articles only and a total of 97 articles (single and multiple authored) by 318 authors was recovered from the SCOPUS database. The study shows that not much research work has been made on this topic until 2023 but it is showing a sharp increase. Singled authorship contributing 27% with 26 publications out of 97 is the most liked authorship pattern among the researchers in this field during the period.