International Journal of Information Science and Management (IJISM)

The 100 Most Cited Articles in Artificial Intelligence in Library and Information Science: A Bibliometric Approach

Articles in Press

Document Type : Original Article

Authors

Amrollah Shamsi 1
Ting Wang 2
Brady Lund 3

1 MSc, Library and Information Science, Clinical Research Development Center, Bushehr University of Medical Sciences, Bushehr, Iran.

2 Ph. D. Instructor, Library and Information Science, School of Library and Information Management, Emporia State University, Emporia, Kansas, USA.

3 Assistant Prof., information science, College of Information, University of North Texas, Denton, Texas, USA.

10.22034/ijism.2026.2055533.1766
Abstract
The rapid emergence of Artificial Intelligence (AI) has significantly transformed various sectors, including Library and Information Science (LIS). This bibliometric study examines the 100 most cited articles on Artificial Intelligence in LIS, revealing the field's evolution, key themes, and emerging trends. The analysis highlights a slow progression in AI-LIS research since the 1990s, followed by a significant acceleration after 2018. The findings underscore the shift from theoretical exploration to practical applications, particularly in domains like healthcare, while emphasizing the interdisciplinary nature of AI research in LIS. The study also explores global contributions, with the United States leading the field and emerging economies like China and India playing increasingly important roles. International collaborations between developed and developing countries are critical for addressing resource disparities, fostering capacity-building, and promoting equitable knowledge exchange. This study provides valuable insights into the current state of AI in LIS.

Keywords

Artificial Intelligence
Library and Information Science
Bibliometric Analysis
Citation Analysis
Interdisciplinary Research

Subjects

Adegboye, M., Vaidhyam, S. & Huang, K. T. (2024, October). Generative AI-ChatGPT’s impact in health science libraries. In Proceedings of the ALISE Annual Conference. https://doi.org/10.21900/j.alise.2024.1659
Akça, S. & Akbulut, M. (2021). Are predatory journals contaminating science? An analysis on the Cabells' predatory report. The Journal of Academic Librarianship, 47(4), 102366. https://doi.org/10.1016/j.acalib.2021.102366
Borgohain, D. J., Bhardwaj, R. K. & Verma, M. K. (2024). Mapping the literature on the application of artificial intelligence in libraries (AAIL): A scientometric analysis. Library Hi Tech, 42(1), 149-179. https://doi.org/10.1108/LHT-07-2022-0331
California Miramar University (2025, July). The evolution and future of artificial intelligence: A student's guide. Retrieved from https://www.calmu.edu/news/future-of-artificial-intelligence
Chandrashekara, G. & Mulimani, M. (2024). The impact of artificial intelligence on library and information science (LIS) services. International Journal of Innovative Practice and Applied Research (IJIPAR), 14(5), 50-56. https://doi.org/10.2139/ssrn.4856459
Chaudhuri, J. & Terrones, L. (2025). Reshaping academic library information literacy programs in the advent of ChatGPT and other generative AI technologies. Internet Reference Services Quarterly, 29(1), 1–25. https://doi.org/10.1080/10875301.2024.2400132
Clarke, A. & Cronin, B. (1983). Expert systems and library/information work. Journal of Librarianship, 15(4), 277-292. https://doi.org/10.1177/096100068301500404
Cordeschi, R. (2007). AI turns fifty: Revisiting its origins. Applied Artificial Intelligence, 21(4-5), 259-279. https://doi.org/10.1080/08839510701252304
Cox, A. M., Pinfield, S. & Rutter, S. (2019). The intelligent library: Thought leaders' views on the likely impact of artificial intelligence on academic libraries. Library Hi Tech, 37(3), 418-435. https://doi.org/10.1108/LHT-08-2018-0105
Elasan, S. & Yilmaz, O. (2025). Comprehensive global analysis of future trends in artificial intelligence‐assisted veterinary medicine. Veterinary Medicine and Science, 11(3), e70258. https://doi.org/10.1002/vms3.70258
El-Najdawi, M. K., & Stylianou, A. C. (1993). Expert support systems: Integrating AI technologies. Communications of the ACM, 36(12), 55-65. https://doi.org/10.1145/163298.163306
Hervieux, S. & Wheatley, A. (2021). Perceptions of artificial intelligence: A survey of academic librarians in Canada and the United States. The Journal of Academic Librarianship, 47(1), article 102270. https://doi.org/10.1016/j.acalib.2020.102270
Kappi, M. & Mallikarjuna, B. (2024). Artificial intelligence and machine learning for disaster prediction: A scientometric analysis of highly cited papers. Natural Hazards, 120(12), 10443-10463. https://doi.org/10.1007/s11069-024-06616-y
Jayavadivel, R., Arunachalam, M., Nagarajan, G., Shankar, B. P., Viji, C., Rajkumar, N. & Senthilkumar, K. R. (2024). Historical Overview of AI Adoption in Libraries. In AI-Assisted Library Reconstruction (pp. 267-289). IGI Global. https://doi.org/10.4018/979-8-3693-2782-1.ch015
Jyoti & Kumar, P. (2024). Reshaping the library landscape: Exploring the integration of artificial intelligence in libraries. IP Indian Journal of Library Science and Information Technology, 9(1), 29-36. https://doi.org/10.18231/j.ijlsit.2024.005
Jones, K. S. (1999). Information retrieval and artificial intelligence. Artificial Intelligence, 114(1-2), 257-281. https://doi.org/10.1016/S0004-3702(99)00075-2
Lappalainen, Y. & Narayanan, N. (2023). Aisha: A custom AI library chatbot using the ChatGPT API. Journal of Web Librarianship, 17(3), 37-58. https://doi.org/10.1080/19322909.2023.2221477
LeCun, Y., Bengio, Y. & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444. https://doi.org/10.1038/nature14539
Lee, Y. A. (2024). Investigating AI chatbot integration in academic libraries: A case study. doctoral dissertation. School of Library and Information Studies, University of Oklahoma.
Licklider, J. C. R. (1965). Libraries of the future. MIT Press.
Lo, L. S. (2023). The CLEAR path: A framework for enhancing information literacy through prompt engineering. The Journal of Academic Librarianship, 49(4), 102720. https://doi.org/10.1016/j.acalib.2023.102720
Lund, B. (2023). The prompt engineering librarian. Library Hi Tech News, 40(8), 6-8. https://doi.org/10.1108/LHTN-10-2023-0189
Lund, B. D., Omame, I., Tijani, S. & Agbaji, D. (2020). Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations' adopter categories. College & Research Libraries, 81(5), 865-882. https://doi.org/10.5860/crl.81.5.865
Lund, B. D. & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News, 40(3), 26-29. https://doi.org/10.1108/LHTN-01-2023-0009
Lund, B. D., Wang, T., Shamsi, A., Abdullahi, J., Awojobi, E. A., Borgohain, D. J., ... & Yusuf, A. O. (2023). Barriers to scholarly publishing among library and information science researchers: International perspectives. Information Development, 39(2), 376-389. https://doi.org/10.1177/02666669211052522
Mattos, F. D. F., Perazzo, M. F., Vargas‐Ferreira, F., Martins‐Júnior, P. A. & Paiva, S. M. (2021). Top 100 most‐cited papers in core dental public health journals: Bibliometric analysis. Community Dentistry and Oral Epidemiology, 49(1), 40-46. https://doi.org/10.1111/cdoe.12572
McCarthy, J., Minsky, M. L., Rochester, N. & Shannon, C. E. (2006). A proposal for the Dartmouth summer research project on artificial intelligence, August 31, 1955. AI Magazine, 27(4), 12. https://doi.org/10.1609/aimag.v27i4.1904 
McRoy, S. (2021). Principles of natural language processing. https://uwm.pressbooks.pub/naturallanguage/
Ogungbenro, O. D., Esse, U. C., Olowoporoku, I. & Christopher, A. (2025). Revolutionizing library services: The impact of artificial intelligence on cataloguing and access to information in Nigerian academic libraries. Journal of Library Metadata, 25(2), 99-118. https://doi.org/10.1080/19386389.2025.2475418
Poole, R. (2012). The challenge of the spaceship: Arthur C. Clarke and the history of the future, 1930-1970. History and Technology, 28(3), 255-280. https://doi.org/10.1080/07341512.2012.722793
Prahani, B., Rizki, I., Jatmiko, B., Suprapto, N. & Tan, A. (2022). Artificial intelligence in education research during the last ten years: A review and bibliometric study. International Journal of Emerging Technologies in Learning (iJET), 17(8), 169-188. https://doi.org/10.3991/ijet.v17i08.29833
Ram, B. (2023). Transforming libraries: The impact of artificial intelligence. IP Indian Journal of Library Science and Information Technology, 8(2), 74-75. https://doi.org/10.18231/j.ijlsit.2023.012
Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations, and future scope. Internet of Things and Cyber-Physical Systems, 3, 121-154. https://doi.org/10.1016/j.iotcps.2023.04.003
Russell, S. & Norvig, P. eds. (2003). Artificial intelligence: A modern approach. Second Edition. Prentice Hall. Retrieved from http://repo.darmajaya.ac.id/4836/1/Stuart%20Russell%2C%20Peter%20Norvig-Artificial%20Intelligence_%20A%20Modern%20Approach-Prentice%20Hall%20%28%20PDFDrive%20%29.pdf
Sarker, I. H. (2021). Machine learning: Algorithms, real-world applications and research directions. Springer Nature Computer Science, 2(3), 160. https://doi.org/10.1007/s42979-021-00592-x
Slimani, H., El Mhamdi, J. & Jilbab, A. (2024). Assessing the advancement of artificial intelligence and drones' integration in agriculture through a bibliometric study. International Journal of Electrical & Computer Engineering, 14(1), 878-890. https://doi.org/10.11591/ijece.v14i1.pp878-890
Smith, L. C. (1976). Artificial intelligence in information retrieval systems. Information Processing & Management, 12(3), 189-222. https://doi.org/10.1016/0306-4573(76)90005-4
Syracuse University. (2025). Types of AI: Explore key categories and uses. Retrieved from https://ischool.syracuse.edu/types-of-ai 
Tang, Z. & Zhang, P. (2023). Comparative analysis of AI applications in libraries: A systematic literature review. Proceedings of the Association for Information Science and Technology, 60, 1146-1148. https://doi.org/10.1002/pra2.973 
Taylor, R. S. (1968). Question-negotiation and information seeking in libraries. College & Research Libraries, 29(3), 178-194. https://doi.org/10.5860/crl_29_03_178
van Eck NJ, Waltman L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2),523-38. https://doi.org/10.1007/s11192-009-0146-3
Vasishta, P., Dhingra, N. & Vasishta, S. (2025). Application of artificial intelligence in libraries: A bibliometric analysis and visualization of research activities. Library Hi Tech, 43(2-3), 693-710. https://doi.org/10.1108/LHT-12-2023-0589
Xiong, H. Y., Liu, H. & Wang, X. Q. (2021). Top 100 most-cited papers in neuropathic pain from 2000 to 2020: A bibliometric study. Frontiers in Neurology, 12, 765193. https://doi.org/10.3389/fneur.2021.765193
Yao, F., Zhang, C. & Chen, W. (2015). Smart talking robot Xiaotu: Participatory library service based on artificial intelligence. Library Hi Tech, 33(2), 245-260. https://doi.org/10.1108/LHT-02-2015-0010
International Journal of Information Science and Management (IJISM)

Articles in Press, Accepted Manuscript
Available Online from 15 April 2026

  • Receive Date 09 March 2025
  • Accept Date 15 April 2026

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