Scientometric Analysis of the Research Paper Output on Artificial Intelligence: A Study

Authors

  • H. Mumtaj Begum Librarian, Anna Centenary Library, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ijiss-2022.12.1.3160

Keywords:

Artificial Intelligence, Expert System, Machine Learning, Scientometrics, Authorship Pattern

Abstract

The purpose of this study was to measure the number of contributions and highlight the contributions made by the researchers in the field of Artificial Intelligence and published on the Web of Science database ten years during 2011-2021 using scientometric analysis. Data were interpreted by using software such as Bibexcel, Vosviewer, and tabulated using MS Excel. The results indicated that 26822 papers were published during 2011 - 2021 and the highest number of publications 10712 (39.94%) was produced in 2020. The trends in multi-authored papers have tremendously increased (87.32%) compared to (12.68%) single-authored papers. The relative growth rate (1.46) and degree of collaboration (0.87) is noted significantly and the highest no of papers (18.97%) was contributed by the collaboration of three authors and source wise most of the records were published an article 20741. It also noted that the value of the highest degree of collaboration was (0.89) in 2020. The Zhang Y author (111) contributed more numbers of papers in the domain of Artificial Intelligence with USA (6491) being the country producing more research papers followed by China, the UK, and the India. More than 1600 papers had been published in Model, and Prediction. The study inferred that the rate of growth is relation by the year wise publications of Artificial Intelligence research.

References

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Published

27-04-2022

How to Cite

Mumtaj Begum, H. (2022). Scientometric Analysis of the Research Paper Output on Artificial Intelligence: A Study. Indian Journal of Information Sources and Services, 12(1), 52–58. https://doi.org/10.51983/ijiss-2022.12.1.3160