An R-tool for comprehensive science mapping analysis
A tool for quantitative research in scientometrics and bibliometrics.
Bibliometrix package provides various routines for importing bibliographic data from SCOPUS, Clarivate Analytics' Web of Science, PubMed and Cochrane databases, performing bibliometric analysis and building data matrices for co-citation, coupling, scientific collaboration analysis and co-word analysis.
bibliometrix is an open source software. Anyone can inspect, modify, and enhance the source code.
bibliometrix sources are published
on GitHub repository.
bibliometrix 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.
bibliometrix supports a recommended workflow to perform science mapping analyses.
Download and install the most recent version of R (https://cran.r-project.org/)
Download and install the most recent version of Rstudio (http://www.rstudio.com)
Open Rstudio, in the console window, digit:
# Install dependencies: dplyr, factoextra, FactoMineR, ggplot2, igraph, Matrix, SnowballC and, stringr
install.packages("dplyr", "factoextra", "FactoMineR", "ggplot2", "igraph", "Matrix", "rscopus", "SnowballC", "stringr")
BIBLIOMETRIX STABLE VERSION
# install from CRAN repository
BIBLIOMETRIX MOST RECENT VERSION
# Install from github repository
Aria, M. & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis, Journal of Informetrics, 11(4), pp 959-975, Elsevier, DOI: 10.1016/j.joi.2017.08.007 (link)
Cuccurullo, C., Aria, M., & Sarto, F. (2016). Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains, Scientometrics, DOI: 10.1007/s11192-016-1948-8 (link).
Cuccurullo, C., Aria, M., & Sarto, F. (2015). Twenty years of research on performance management in business and public administration domains. Presentation at the Correspondence Analysis and Related Methods conference (CARME 2015) in September 2015 (link).
Sarto, F., Cuccurullo, C., & Aria, M. (2014). Exploring healthcare governance literature: systematic review and paths for future research. Mecosan (link).
Cuccurullo, C., Aria, M., & Sarto, F. (2013). Twenty years of research on performance management in business and public administration domains. In Academy of Management Proceedings (Vol. 2013, No. 1, p. 14270). Academy of Management (link).