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Automated Extraction And Bibliometric Data Analysis With Api

Author

Listed:
  • Olga Marinova

    (University of Economics - Varna / Department of Informatics, Varna, Bulgaria)

  • Petya Strashimirova

    (University of Economics - Varna / Department of Informatics, Varna, Bulgaria)

Abstract

Retrieval of bibliometric data from leading scientific metrics databases such as Scopus and Web of Science is becoming increasingly important for effective tracking and analysis of scientific output. Data can be automatically collected and processed based on various parameters, which will allow us to use them more efficiently for the purpose of future summaries and, most importantly, to gain a thorough and reliable insight into current scientific trends. The aim of this paper is to explore the possibilities of Application Programming Interfaces (APIs) to retrieve and analyse bibliometric data, and to propose a methodology for automated data extraction from global scientific databases using APIs. Different techniques and methods for bibliometric data analysis are highlighted.

Suggested Citation

  • Olga Marinova & Petya Strashimirova, 2024. "Automated Extraction And Bibliometric Data Analysis With Api," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 84-91.
    • Handle: RePEc:vrn:katinf:y:2024:i:1:p:84-91
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    File URL: https://informatics.ue-varna.bg/ICTBE2024/ICTBE2024_84-91.pdf
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    More about this item

    Keywords

    data extraction; bibliometric analysis; SCOPUS API; Web of Science API;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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