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BIBLIOMETRIX

R Package for Bibliometric and Co-Citation Analysis

BIBLIOMETRIX R Package 

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.


Written by Massimo Aria & Corrado Cuccurullo.


DOWNLOAD

Stable version can be downloaded and installed from R CRAN Package Repository.

Most recent version can be downloaded and installed from GITHUB repository


INSTALLATION

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

install.packages("bibliometrix")


BIBLIOMETRIX MOST RECENT VERSION

# Install from github repository

install.packages("devtools")

library("devtools")

install_github("massimoaria/bibliometrix")



DOCUMENTS

Bibliometrix function map can be visualized here

Dependencies among bibliometrix functions can be visualized here

Reference Manual can be downloaded here

Bibliometrix Tutorial can be visualized here (HTML)


SCIENTIFIC WORKS

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).

FOLLOW US

ADDRESS
Department of Economics and Statistics
University of Naples Federico II, Italy
Via Cintia, I-80126, Naples

CONTACTS
Email: aria@unina.it
Phone: +39 081 675187
Fax: +39 081 675009

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