mlsanityData to 7 Oct 2026

Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis

arXiv 2107.11521 ↗First posted 24 Jul 2021cs.DL cs.AIcited by 2

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Abstract (arXiv)

By using publications from Web of Science Core Collection (WoSCC), Fosso Wamba and his colleagues published an interesting and comprehensive paper in Technological Forecasting and Social Change to explore the structure and dynamics of artificial intelligence (AI) scholarship. Data demonstrated in Fosso Wamba's study implied that the year 1991 seemed to be a "watershed" of AI research. This research note tried to uncover the 1991 phenomenon from the perspective of database limitation by probing the limitations of search in abstract/author keywords/keywords plus fields of WoSCC empirically. The low availability rates of abstract/author keywords/keywords plus information in WoSCC found in this study can explain the "watershed" phenomenon of AI scholarship in 1991 to a large extent. Some other caveats for the use of WoSCC in old literature retrieval and historical bibliometric analysis were also mentioned in the discussion section. This research note complements Fosso Wamba and his colleagues' study and also helps avoid improper interpretation in the use of WoSCC in old literature retrieval and historical bibliometric analysis.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 5 of its 22 references that are in the map. First posted on arXiv 24 Jul 2021.

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5 of 22 references.

References · 5

  1. 2016Characterization, description, and considerations for the use of funding acknowledgement data in Web of Sciencecited by 3
  2. 2020A tale of two databases: The use of Web of Science and Scopus in academic paperscited by 3
  3. 2016Funding acknowledgment analysis:Queries and Caveatscited by 2
  4. 2018Missing author address information in Web of Science-An explorative studycited by 2
  5. 2020Funding information in Web of Science: An updated overviewcited by 1

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