Bibliometric and Co-Citation Analysis Tool
Tool for quantitative research in scientometrics and bibliometrics.
Bibliometrix package provides various routines for importing bibliographic data from SCOPUS and Clarivate Analytics' Web of Science databases, performing bibliometric analysis and building data matrices for co-citation, coupling, scientific collaboration analysis and co-word analysis.
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
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).