Mapping of Evolution and Impact of Artificial Intelligence and Machine Learning Research in Library Science: A Bibliometric Study

DOI

10.2991/978-94-6239-618-0_24How to use a DOI?

Keywords

Artificial Intelligence; Bibliometric; Library and Information Science; Library Science; Machine Learning; Research Productivity

Abstract

This bibliometric study explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and Library Science from 2015 to 2024. The study analysing 2180 research publications indexed in SCOPUS reflects an overall citation count of 16200. Publication output peaked in 2024, while citations saw a substantial growth in 2020. Important themes included machine learning algorithms, deep learning, and supporting vector machines. Dual authorship was the most prevalent pattern. Vinay Kukreja from Chitkara university emerged as a notable contributor. USA, United Kingdom, Saudi Arabia, Australia, and China were the countries with whom international collaborations were most successful This study emphasizes authorship trends, influential documents and co-authorship network, offering a bibliometric picture for future research in AI, ML, and Library Science. Future research should focus on ethical AI use in libraries science domain, and AI literacy in Library Science education. Emerging technologies like generative AI, virtual reality, and predictive systems offer promising directions, highlighting the evolving and transformative role of AI in library services and research.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rajeev Kumar Attri
AU  - Praveen Kapoor
AU  - Ashok Kumar Upadhyay
PY  - 2026
DA  - 2026/03/16
TI  - Mapping of Evolution and Impact of Artificial Intelligence and Machine Learning Research in Library Science: A Bibliometric Study
BT  - Proceedings of 3rd International Conference on Library & Technology on “Artificial Intelligence and Humanities in Library and Education 4.0 (AIHLE 2025)
PB  - Atlantis Press
SP  - 304
EP  - 322
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-618-0_24
DO  - 10.2991/978-94-6239-618-0_24
ID  - Attri2026
ER  -