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

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.

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    With MIT license (for more information, see https://opensource.org/licenses/MIT).

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Acknowledgements

This research is funded by Colciencias Doctoral scholarship, from the Departamento Administrativo de Ciencia, Tecnología e Innovación (647-2014) for the Ph.D. in Telematic Engineering at the Universidad del Cauca, Popayán, Colombia. Also, this work was supported by the Universidad del Cauca (501100005682).

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Correspondence to Juan Ruiz-Rosero.

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Ruiz-Rosero, J., Ramirez-Gonzalez, G. & Viveros-Delgado, J. Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications. Scientometrics 121, 1165–1188 (2019). https://doi.org/10.1007/s11192-019-03213-w

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Keywords

  • ScientoPy
  • Scientometrics
  • Science mapping
  • Bibliometrics
  • Internet of things
  • Wildcards