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

被引:91
|
作者
Ruiz-Rosero, Juan [1 ]
Ramirez-Gonzalez, Gustavo [1 ]
Viveros-Delgado, Jesus [2 ]
机构
[1] Univ Cauca, Dept Telemat, Calle 5,4-70, Popayan 190002, Cauca, Colombia
[2] Univ Narino, Dept Ingn Elect, Calle 18 Cra 50, Pasto 520001, Narino, Colombia
关键词
ScientoPy; Scientometrics; Science mapping; Bibliometrics; Internet of things; Wildcards; INTERNET;
D O I
10.1007/s11192-019-03213-w
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:1165 / 1188
页数:24
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