bibliometrix: An R-tool for comprehensive science mapping analysis

被引:6736
作者
Aria, Massimo [1 ]
Cuccurullo, Corrado [2 ]
机构
[1] Univ Napoli Federico II, Dept Econ & Stat, Via Cintia, I-80126 Naples, Italy
[2] Univ Campania Luigi Vanvitelli, Dept Econ & Management, Capua, CE, Italy
关键词
sBibliometrics; Science mapping; Workflow; Co-citation; Bibliographic coupling; R package; INFORMATION-SCIENCE; SCIENTIFIC WORKFLOWS; AUTHOR COCITATION; CITATION IMAGE; ALGORITHM; EVOLUTION; NETWORKS; PATTERNS; TRENDS; INDEX;
D O I
10.1016/j.joi.2017.08.007
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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. (c) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:959 / 975
页数:17
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