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Cited by 36Library Science and Informationscientometrics and bibliometrics researchWeb and Library Services

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

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Islam, Md Nurul, Ahmad, Shakil, Aqil, Mohammad, Hu, Guangwei, Ashiq, Murtaza, Abusharhah, Majed Mohammed, Saky, Sheikh Abu Toha Md·2025·Discover Artificial Intelligence
DOI 10.1007/s44163-025-00295-9
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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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  • AI tools, particularly AI detection tools, generate false certainty, obscure human judgment, and normalize constant monitoring as the default mode of educational interaction.

    “AI tools promise efficiency and security (Che et al., 2025; Islam et al., 2025), yet the reality is that they, particularly AI detection tools, generate false certainty, obscure human judgment, and normalize constant monitoring as the default mode of educational interaction.”

    From Harms and Ethical Risks of AI Detection Tools in Education: False Positives, Bias, Surveillance, and Student Rights (2026) · cites this paper as Islam et al., 2025

    Section 2.1 says AI-powered library tools improve service efficiency, supporting the efficiency part of the cited phrase. Section 5 discusses data security as a concern arising from AI-driven user analytics, not as a benefit AI tools promise. The claims after “yet” are the citing authors’ contrast, not a point this citation is offered to support. (LLM, conf=0.84)

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Research works printed but not linked: 56

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Cited by

Sorted by citations

Authors
Islam, M. N., Ahmad, S., Aqil, M., Hu, G., Ashiq, M., Abusharhah, M. M., & Saky, S. A. T. M.
Affiliations
  • Shinawatra University (TH)
  • Imam Abdulrahman Bin Faisal University (SA)
  • Nanjing University (CN)
  • University of the Punjab (PK)
  • Muhammadiyah University of Surakarta (ID)
Corresponding author
Islam, Md Nurul
ORCID
Venue
Discover Artificial Intelligence
Publisher
Springer Science and Business Media LLC
Published
2025-05-16
Volume
5
Issue
1
ISSN
2731-0809 (ISSN-L)
DOI
10.1007/s44163-025-00295-9
OpenAlex
W4410427265
Cited by
36
References
7
Citations by year
2026: 30 · 2025: 6
FWCI
37.43
Type
journal article
Language
en
Open access
Licence
Locations
  • Discover Artificial Intelligence (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Computer Science › Information Systems › Library Science and Information
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Physical Sciences › Computer Science › Information Systems › Web and Library Services
Keywords
artificial intelligence in libraries, academic libraries, library services, machine learning, chatbots, data mining, user personalization, research trends, research collaboration, knowledge mapping

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