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Edward G. Miner Library

R Publication Statistics: Home

Learn how the Rbibliometrix package can be used to explore the scholarly publishing landscape and make informed decisions to maximize the visibility and influence of your work.

Welcome 👋

The Bibliometrix R package is a comprehensive tool for quantitative research in scientometrics and bibliometrics. In addition, it features biblioshiny which is a R shiny web app that provides routines for importing bibliographic data from a multitude of popular databases for performing bibliometric analysis. This guide will walk you through the key steps to use this package effectively.

Setting up




Before you can use R Studio, you need to install R itself. Below are the steps to install R:

  1. Go to the R project website at

  2. Choose the version that corresponds to your operating system (Windows, Mac, or Linux).

  3. Follow the installation instructions for your chosen operating system.

After installing R, you should install R Studio, which is an integrated development environment (IDE) for R:

  1. Go to the R Studio website at

  2. Click on the "Download" button.

  3. Under "Installers for Supported Platforms," choose the version that corresponds to your operating system.

  4. Follow the installation instructions.

Biblioshiny Web Application


This project has been funded with Federal funds from the National Library of Medicine (NLM), National Institutes of Health (NIH), under cooperative agreement number UG4LM01234 with the University of Massachusetts Chan Medical School, Lamar Soutter Library. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.



You can install the stable version of Bibliometrix from CRAN using the following command:


Alternatively, you can install the development version from GitHub:


Loading the package

After installation, load the package with:


Launching the Web Application

To launch the biblioshiny web app



Importing & Deduplicating Bibliographic Records

# Load the bibliometrix package

# Import the .bib file
M <- convert2df("filepath.bib", dbsource = "scopus", format = "bibtex")

# Deduplicate the data
M <- duplicatedMatching(M, Field = "TI", exact = TRUE, tol = 0.95)

# Check your data

# Save the deduplicated data as an R data file
save(M, file = "filepath.RData")