Libraries at University of Nebraska-Lincoln
Date of this Version
Summer 5-17-2024
Document Type
Article
Abstract
The study aims to evaluate the research productivity of Indian researchers on artificial intelligence (AI) in the Library and information science (LIS) field. The study employed a bibliometric approach to analyze the yearly growth, prolific authors, organization, country, pattern of Authorship, keyword analysis, and most cited papers on AI in LIS. The researcher used the Web of Science database to retrieve literature related to Indian AI researchers in LIS between 1995 and 2023. Four hundred forty publications were downloaded and analyzed using MS Excel, Biblioshiny, and Vosviewer software. The study reveals that Indian researchers published 440 publications and 6227 citations in the field between 1995 and 2023. The highest research publication was reported in 2022, with 114 publications, while 2021 received the highest citation with 2017 TC. The "Journal of Information & Optimization Sciences" is the primary scholarly outlet in this field, with 114 publications. Kumar A has achieved the highest rank by publishing a total of 21 articles, and The Indian Institute of Technology, Madras, contributed the highest research with 21 publications. Authorship Pattern 2 contributed the highest number of research papers with 158 publications; Indian researchers exhibit maximum collaboration with authors from the UK, resulting in 29 publications. The analysis reveals that the leading keywords in the research papers are machine learning, deep learning, artificial intelligence, classification, and sentiment analysis. Moreover, no previous bibliometric studies have been conducted on artificial intelligence publications by Indian LIS researchers covering the period of 1995-2023.