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Leading Research by Institutions and Authors: A Modern Research Analysis

Author

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  • Wieslawa Gryncewicz
  • Monika Sitarska-Buba

Abstract

Purpose: The article concludes on the importance of scientometric analysis in the process of finding partners for scientific cooperation. Design/Methodology/Approach: Scientometric analysis. Findings: The paper quantitatively characterizes the literature thematically related to the area of data science. The scientometric method was used and the Scopus database was the source of data for analysis. The study made it possible to determine when the first publications on data science appeared and how the dynamics of the growth of the literature in this range developed in years 2006-2021. The authors identified leading researchers and their area of interest, along with having reported statistics that describe top countries, institutions, subject areas, and founding sponsors. Practical Implications: Executing scientific analysis can help to identify institutions and researchers to build cooperation partneship. Originality/value: Our study has shown developing areas of data science methodology to identify leading institutions and researchers.

Suggested Citation

  • Wieslawa Gryncewicz & Monika Sitarska-Buba, 2021. "Leading Research by Institutions and Authors: A Modern Research Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 1012-1026.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:3b:p:1012-1026
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    References listed on IDEAS

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    5. Wieslawa Gryncewicz & Monika Sitarska-Buba, 2021. "Data Science in Decision-Making Processes: A Scientometric Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 1061-1074.
    6. Daphne R. Raban & Avishag Gordon, 2020. "The evolution of data science and big data research: A bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1563-1581, March.
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    1. Wieslawa Gryncewicz & Monika Sitarska-Buba, 2021. "Data Science in Decision-Making Processes: A Scientometric Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 1061-1074.

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    More about this item

    Keywords

    Data science; bibliometric analysis; visualization map.;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

    Statistics

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