Exploring Authorship Patterns in Artif icial Intelligence Literature in Library Science: A Bibliometric Analysis

  • Bhuvaneshwari Patil Research Scholar, Department of Library and Information Science Karnataka State Akkamahadevi Women University Jnana Shakti Campus, Vijayapura Karnataka-586108, India

Abstract

This study examines the authorship pattern and research collaboration in Artificial Intelligence (AI) based on 3495 scholarly communications between 2014 and 2023. The analysis delves into various significant aspects such as types and trends of authorship, author productivity, author per paper, Document-wise distribution, and geographical distribution. Notably, multiple-author papers emerge as more prevalent within AI. Additionally, the study identifies the USA as the highest contributor country in AI.

References

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Published
2024-12-28
How to Cite
PATIL, Bhuvaneshwari. Exploring Authorship Patterns in Artif icial Intelligence Literature in Library Science: A Bibliometric Analysis. Journal of Science & Technology Metrics, [S.l.], v. 5, n. 3, p. 89-98, dec. 2024. ISSN 2582-6956. Available at: <https://www.dline.info/ojs/index.php/jstm/article/view/404>. Date accessed: 06 june 2026.