RT journal article
T1 Software tools for conducting bibliometric analysis in science: An up-to-date review
A1 Moral Muñoz, José Antonio
A1 Herrera-Viedma, Enrique
A1 Santisteban Espejo, Antonio Leopoldo
A1 Cobo Martín, Manuel Jesús
A2 Enfermería y Fisioterapia
A2 Ingeniería Informática
K1 Bibliometrics
K1 Scientometrics
K1 Science mapping analysis
K1 Tools
K1 Bibliographic databases
K1 Performance analysis
K1 Software
K1 R-package
K1 Python-package
K1 Software review
AB Bibliometrics has become an essential tool for assessing and analyzing the output of scientists, cooperation betweenuniversities, the effect of state-owned science funding on national research and development performance and educationalefficiency, among other applications. Therefore, professionals and scientists need a range of theoretical and practicaltools to measure experimental data. This review aims to provide an up-to-date review of the various tools availablefor conducting bibliometric and scientometric analyses, including the sources of data acquisition, performance analysisand visualization tools. The included tools were divided into three categories: general bibliometric and performanceanalysis, science mapping analysis, and libraries; a description of all of them is provided. A comparative analysis of thedatabase sources support, pre-processing capabilities, analysis and visualization options were also provided in order tofacilitate its understanding. Although there are numerous bibliometric databases to obtain data for bibliometric andscientometric analysis, they have been developed for a different purpose. The number of exportable records is between500 and 50,000 and the coverage of the different science fields is unequal in each database. Concerning the analyzedtools, Bibliometrix contains the more extensive set of techniques and suitable for practitioners through Biblioshiny.VOSviewer has a fantastic visualization and is capable of loading and exporting information from many sources. SciMATis the tool with a powerful pre-processing and export capability. In views of the variability of features, the users need todecide the desired analysis output and chose the option that better fits into their aims.
PB EPI SCP
YR 2020
FD 2020
LK http://hdl.handle.net/10498/22857
UL http://hdl.handle.net/10498/22857
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 11-nov-2026