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, Clinical Research Development Center, The Persian Gulf Hospital, Bushehr University of Medical Sciences, Bushehr, Iran

2 Lecturer, School of Library and Information Management, Emporia State University, Emporia, Kansas, USA

3 Assistant Professor, Department of Information Science, 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
 
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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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