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research-article

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

Authors:

Juan Ruiz-Rosero,

Gustavo Ramirez-Gonzalez,

Jesus Viveros-DelgadoAuthors Info & Claims

Volume 121, Issue 2

Pages 1165 - 1188

https://doi.org/10.1007/s11192-019-03213-w

Published: 01 November 2019 Publication History

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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Cited By

Nikolić DIvanović DIvanović L(2024)An open-source tool for merging data from multiple citation databasesScientometrics10.1007/s11192-024-05076-2129:7(4573-4595)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11192-024-05076-2
Witeck GRocha ASilva GSilva ADurães DMachado J(2022)A Bibliometric Review and Analysis of Traffic Lights OptimizationComputational Science and Its Applications – ICCSA 2022 Workshops10.1007/978-3-031-10562-3_4(43-54)Online publication date: 4-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-10562-3_4
Silva AAlves Fde Tuesta JRocha APereira ASilva ALeitão PGomes H(2022)Solving a Capacitated Waste Collection Problem Using an Open-Source ToolComputational Science and Its Applications – ICCSA 2022 Workshops10.1007/978-3-031-10562-3_11(140-156)Online publication date: 4-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-10562-3_11

Index Terms

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

Index terms have been assigned to the content through auto-classification.

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Information & Contributors

Information

Published In

cover image Scientometrics

Scientometrics Volume 121, Issue 2

Nov 2019

621 pages

ISSN:0138-9130

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Copyright © 2019 Akadémiai Kiadó, Budapest, Hungary.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 November 2019

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Cited By

Nikolić DIvanović DIvanović L(2024)An open-source tool for merging data from multiple citation databasesScientometrics10.1007/s11192-024-05076-2129:7(4573-4595)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s11192-024-05076-2
Witeck GRocha ASilva GSilva ADurães DMachado J(2022)A Bibliometric Review and Analysis of Traffic Lights OptimizationComputational Science and Its Applications – ICCSA 2022 Workshops10.1007/978-3-031-10562-3_4(43-54)Online publication date: 4-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-10562-3_4
Silva AAlves Fde Tuesta JRocha APereira ASilva ALeitão PGomes H(2022)Solving a Capacitated Waste Collection Problem Using an Open-Source ToolComputational Science and Its Applications – ICCSA 2022 Workshops10.1007/978-3-031-10562-3_11(140-156)Online publication date: 4-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-10562-3_11
Taghavi AKhaleghparast SEshghi K(2021)Optimal Agent FrameworkComplexity10.1155/2021/66421602021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6642160

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