Mapping of Global Publications on Artificial Intelligence: A Scientometric Analysis

Autores/as

Palabras clave:

Artificial Intelligence, Global Publication, Network analysis of co-authorship, Country-wise Analysis, Scientometric Study, Vosviewer, Biblishyni, Scopus

Resumen

Objective: Artificial Intelligence (AI) has emerged as an innovative technology with the potential to revolutionize various industries. This study uses a scientometric methodology to evaluate the current research in artificial intelligence comprehensively. Design/Methodology/Approach: This study employed scientometric indicators to identify key trends, patterns, and research gaps in the existing literature. A comprehensive dataset of 1803 academic papers on artificial intelligence, published between 2003 and 2023, was assembled and assessed using the Scopus database. Various scientometric instruments, such as Biblioshiny and VOSviewer, have significantly improved this study. Results/Discussion: The study's results provide substantial insights. The research indicated that the peak number of publications occurred in 2021, totaling 601 (33.33%), with the predominant document type being articles at 771 (42.76%), succeeded by conference articles at 428 (23.74%). Journal articles demonstrated the highest prevalence among various publication categories, comprising 771 (42.76%), followed by conference papers at 428. The United States emerged as the foremost contributor with 405 articles, followed by India with 234 publications. Conclusions: The University of Birmingham emerged as the most distinguished affiliation, boasting 17 publications and 1,670 citations. The "Lecture Notes in Computer Science (including the subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)" series is the most productive source, releasing 100 papers, of which 97 were cited. The author, Liu Xiaoxuan, is a distinguished figure with an h-index of 13 and a g-index of 14. Contribution: To assess the state of AI scientific production in the period 2021-2023, to contribute to scientific research.

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Biografía del autor/a

Satishkumar Naikar, Badruka School of Management

Satishkumar Naikar received his Master Degree in Library and Information Science from the Karnatak University, Dharwad in 2015. Completed Post Graduate Diploma in Library Automation and Networking from University of Hyderabad, Hyderabad in 2018. Cleared UGC-NET in the year 2018 conducted by University Grant Commission New Delhi and also cleared Karnataka SET in the year 2017 conducted by University of Mysore, Mysore. He currently working as a Librarian at Badruka School of Management (BSM), Hyderabad. Totally he has more than 08 years’ experience in business school libraries and university libraries. He published 22 papers in national/international peer reviewed journals, conferences and edited book. His research areas are Scientometrics, Bibliometrics, Information Technology, Library Automation, Academic Libraries, User Studies, Electronic Information Resources (EIR'S), RFID Technology.

Shashikumar Hatti, Navodaya Medical College Hospital and Research Centre, Raichur

Shashikumar Hatti completed his Master Degree in Library and Information Science from Karnatak University, Dharwad in the year 2015. He also cleared Karnataka SET in the year 2017 conducted by University of Mysore, Mysore. Presently, he is a Librarian at Navodaya Medical College Hospital and Research Centre, Raichur. He has published 05 papers in National Peer Reviewed Journals. He research areas are Public libraries, Information Literacy, User Awareness and Academic Libraries.

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Publicado

2025-09-20

Cómo citar

Togam, M., Naikar, S., Krishnamurthy, C., & Hatti, S. (2025). Mapping of Global Publications on Artificial Intelligence: A Scientometric Analysis. Bibliotecas. Anales De investigación, 21(Monográfico), 1–17. Recuperado a partir de https://revistasbnjm.sld.cu/index.php/BAI/article/view/986

Número

Vol. 21, Monográfico (2025): Bibliotecas. Anales de Investigación

Sección

Estudios Métricos

Licencia

Derechos de autor 2025 Madhukar Togam, Satishkumar Naikar, C Krishnamurthy, Shashikumar Hatti

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.