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CONTRIBUTION OF NIRF RANKED IITs IN ARTIFICIAL INTELLIGENCE & MACHINE LEARNING: A SCIENTOMETRIC STUDY OF RESEARCH PUBLICATIONS

  • Unique Paper ID: 166149
  • Volume: 11
  • Issue: 2
  • PageNo: 307-313
  • Abstract:
  • The purpose of this study is to assess the contribution of IITs Ranked in latest NIRF in published research output in Artificial Intelligence and Machine learning using Scientometric analysis. The published data were exported from Scopus databases. The Data were analyzed and interpreted using Rstudio, Biblioshiny, Bibexcel, Vosviewer, and MS Excel. A total 6482 no of documents in 2753 sources were published by IITs researchers since year 1968 till June 2024. Co-author per documents (6.63) indicates that multi-authored papers have been published more in compare to single-authored papers. The degree of collaboration (0.97) and relative growth rate (0.165) are noteworthy. Three authors' collaboration produced the greatest number of papers (28%) and, in terms of sources, the majority of the records were published as articles (46%). Kar, Arpan Kumar, author (76) and IIT Kharagpur (1001 articles) contributed more numbers of papers in the domain of Artificial Intelligence. 14.42 is the average citation per documents, which means the research quality in AI by IITs is excellent.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 2
  • PageNo: 307-313

CONTRIBUTION OF NIRF RANKED IITs IN ARTIFICIAL INTELLIGENCE & MACHINE LEARNING: A SCIENTOMETRIC STUDY OF RESEARCH PUBLICATIONS

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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