Abstract

Context: The present paper analyses the publication output on ‘Artificial Intelligence (AI)’ and compares it with the publication output in the research domain of Library and Information Science (LIS). Aim: The aim of this paper is to quantify, critically analyse and visually present the prolific literature on AI and its applications in LIS domain using bibliometric techniques. Settings and Design: Bibliometric and keyword analysis were employed in analysing the secondary data sourced from the Clarivate Analytics Web of Science database. Methods and Material: Data extraction was carried out using the Web of Science database for the study period 2000-2023. 2,05,470 Articles in English language were included for the study. It was found that 1351 Articles were published with applications of AI in LIS domain. Statistical analysis used: The Compound Annual Growth Rate (CAGR) was calculated to measure the growth trend of AI research globally and within LIS. Activity Index (AI) and Relative Specialization Index (RSI) were calculated to assess the research focus of different countries. Data visualization was used to map the findings. Results: The study identifies the annual growth rate of publications on AI across disciplines to be 13.42% and 20.01% within LIS discipline. The study reveals apart from USA and China, India also features among the top 10 prolific countries and institutions contributing to AI research globally and in LIS discipline. Conclusions: AI research in LIS has gained significant momentum, reflecting a growing interest in applying AI-driven solutions to library operations and services. While China leads in the overall AI publication output, the USA dominates in LIS-specific AI research. The study highlights the need for interdisciplinary and international collaboration to enhance the adoption of AI in LIS. Further efforts are required to strengthen AI research in LIS, particularly in developing regions, to bridge the gap in technological advancements and applications.

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