Exploring Authorship Patterns in Artificial Intelligence Literature in Library Science: A Bibliometric Analysis-
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.
Authors
- Gavisiddappa Anandhalli
- Bhuvaneshwari Patil (ORCID: https://orcid.org/0000-0002-5403-9985)
Publication Details
- Journal
- Second International Conference on Science & Technology Metrics
- Published
- 2024-12-15
- DOI
- https://doi.org/10.6025/jstm/2024/5/3/89-98
- Primary Topic
- Authorship Attribution and Profiling
- Type
- article
- Field-Weighted Citation Impact
- 0.00