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.

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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
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article

Exploring Authorship Patterns in Artificial Intelligence Literature in Library Science: A Bibliometric Analysis-

Gavisiddappa Anandhalli, Bhuvaneshwari Patil
Second International Conference on Science & Technology Metrics
Authorship Attribution and Profiling
article

Exploring Authorship Patterns in Artificial Intelligence Literature in Library Science: A Bibliometric Analysis-

Gavisiddappa Anandhalli, Bhuvaneshwari Patil
article en

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.

Second International Conference on Science & Technology MetricsVol. 5(3)
Quality Education
Openalex Percentile: Top 78%
Authorship Attribution and Profiling
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