bibliometrix: An R-tool for comprehensive science mapping analysis

Massimo Aria and Corrado Cuccurullo

Journal of Informetrics, 2017, vol. 11, issue 4, 959-975

Abstract: The use of bibliometrics is gradually extending to all disciplines. It is particularly suitable for science mapping at a time when the emphasis on empirical contributions is producing voluminous, fragmented, and controversial research streams. Science mapping is complex and unwieldly because it is multi-step and frequently requires numerous and diverse software tools, which are not all necessarily freeware. Although automated workflows that integrate these software tools into an organized data flow are emerging, in this paper we propose a unique open-source tool, designed by the authors, called bibliometrix, for performing comprehensive science mapping analysis. bibliometrix supports a recommended workflow to perform bibliometric analyses. As it is programmed in R, the proposed tool is flexible and can be rapidly upgraded and integrated with other statistical R-packages. It is therefore useful in a constantly changing science such as bibliometrics.

Keywords: Bibliometrics; Science mapping; Workflow; Co-citation; Bibliographic coupling; R package (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (812)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:11:y:2017:i:4:p:959-975

DOI: 10.1016/j.joi.2017.08.007

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