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Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications

Author

Listed:
  • Juan Ruiz-Rosero

    (Universidad del Cauca)

  • Gustavo Ramirez-Gonzalez

    (Universidad del Cauca)

  • Jesus Viveros-Delgado

    (Universidad de Nariño)

Abstract

Bibliometric analysis is growing research filed supported in different tools. Some of these tools are based on network representation or thematic analysis. Despite years of tools development, still, there is the need to support merging information from different sources and enhancing longitudinal temporal analysis as part of trending topic evolution. We carried out a new scientometric open-source tool called ScientoPy and demonstrated it in a use case for the Internet of things topic. This tool contributes to merging problems from Scopus and Clarivate Web of Science sources, extracts and represents h-index for the analysis topic, and offers a set of possibilities for temporal analysis for authors, institutions, wildcards, and trending topics using four different visualizations options. This tool enables future bibliometric analysis in different emerging fields.

Suggested Citation

  • Juan Ruiz-Rosero & Gustavo Ramirez-Gonzalez & Jesus Viveros-Delgado, 2019. "Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1165-1188, November.
    • Handle: RePEc:spr:scient:v:121:y:2019:i:2:d:10.1007_s11192-019-03213-w
    DOI: 10.1007/s11192-019-03213-w
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    References listed on IDEAS

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