Application of artificial intelligence in academic libraries: a bibliometric analysis and knowledge mapping

Abstract

This study investigates the application of Artificial Intelligence (AI) in academic libraries through a bibliometric analysis of 354 publications indexed in Scopus from 2010 to 2023. Using Bibliometrix, VOS Viewer, and MS Excel, it examines publication trends, influential authors, sources, geographical contributions, and thematic evolution. The findings reveal a surge in AI-related research in recent years, with significant contributions from scholars like Cox AM and Stock WG. Collaborative research accounts for 75% of publications, indicating its high impact. The Journal of Academic Librarianship emerges as the leading source, while China, the USA, and India lead in publication output. Key research themes include AI integration in library services, data mining, and user personalization, with notable collaborations between Indonesia-Malaysia and Nigeria-South Africa. A thematic analysis identifies artificial intelligence, machine learning, and chatbots as pivotal areas. The study underscores the interdisciplinary nature of AI research in academic libraries and its growing influence on enhancing library operations, resource discovery, and user experiences. By identifying research gaps and future directions, the findings provide valuable insights for library professionals and policymakers, enabling more strategic AI adoption to improve efficiency, automate routine tasks, and enhance decision-making in library management.

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