The Complete Science Mapping Platform

Bibliometrix is an open-source tool for quantitative research in scientometrics and bibliometrics that includes all the main bibliometric methods of analysis. The tool gives researchers all the tools to pursue a comprehensive bibliometric analysis, following the Science Mapping Workflow. From data collection to interactive visualization — everything in one R-based ecosystem

Trusted by Researchers and Institutions Worldwide

bibliometrix performs a complete set of literature information analysis and the visualization of results. t can be used for whole-process bibliometric analysis and visual display. Statistical analysis, data preprocessing, co-occurrence matrix construction, co-citation analysis, coupling analysis, co-word analysis and cluster analysis on documents from the Scopus and Web of Science databases are achievable too.

Xie, H., Zhang Y., Wu Z., & Lv T. (2020)

A bibliometric analysis on land degradation: Current status, development, and future directions

A recent R-package which facilitates a more complete bibliometric analysis, employing specific functions for both bibliometric and scientometric quantitative research, which can easily be integrated with other relevant packages belonging to the R suite of software applications for data manipulation, calculation and graphical display.

Agnusdei G. P., & Coluccia B. (2022)

Sustainable agrifood supply chains: Bibliometric, network and content analyses

One of the most user-friendly software for bibliometric analysis. Bibliometrix and its Shiny platform contain the more extensive set of techniques implemented.

Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020)

Software tools for conducting bibliometric analysis in science: An up-to-date review

Bibliometrix is by far the most popular R package and is used in a growing number of publications. Bibliometrix allows R users to import a bibliography database from SCOPUS or the Web of Science, stored either as a Bibtex (.bib) or Plain Text (.txt) file. The package has simple functions which allow for descriptive analyses, for example, in terms of most relevant authors by the number of publications, or the most cited documents sorted by GCS.

Linnenluecke M. K., Marrone M., & Singh A. K. (2020)

Conducting systematic literature reviews and bibliometric analyses

From Raw Data to Deep Scientific Insights

With bibliometrix, say goodbye to manual literature analysis. Get a clear, structured view of any scientific field — authors, journals, keywords, citations and co-authorship networks — all in a few clicks.

Data Collection & Conversion:

Multi-database Import:
Supports data from Scopus, Web of Science, PubMed, Lens.org and more. Import directly in BibTeX, plain text or API forma

Science Mapping Analyses:

Complete Bibliometric Workflow:
Perform descriptive analyses, co-citation, co-authorship, keyword co-occurrence, thematic mapping and historiographic networks.

Biblioshiny Interface:

No Coding Required:
Biblioshiny wraps bibliometrix into an interactive web app. Researchers with no R experience can run full analyses through a clean point-and-click interface.

Science Mapping Analysis

A Primer with Biblioshiny

From PhD students to research managers, across all disciplines.
A comprehensive, hands-on guide to the quantitative study of scientific literature through citation patterns, keyword co-occurrences, and collaboration networks. Written by the creators of bibliometrix, this book bridges the gap between methodological rigor and practical accessibility.

Buy Book

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Features that make research smarter

Bibliometrix R

A comprehensive set of functions for bibliometric and scientometric quantitative research, fully integrated with the R ecosystem.

Biblioverse

The next-generation ecosystem for science mapping. Scalable, modular and cloud-ready for large-scale bibliometric research.

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Biblioshiny

A Shiny-based web interface for bibliometrix. Interactive dashboards for thematic maps, network analysis, and dynamic visualizations — no coding needed.

Biblio AI (only v5.0)

AI-powered assistance for interpreting bibliometric results, generating reports and guiding the research workflow intelligently.

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The science-centric knowledge factory

K-Synth, Academic Spin-Off of the University of Naples Federico II,
is a science-centric information & intelligence Specialist Firm, specialized in the research, consulting, and production of “knowledge”, extracted and analyzed from a heterogeneous plurality of large volumes of data, through quantitative, statistical, and data science methods.

Meet K-Synth Team

Simple and Intuitive for Any Researcher

bibliometrix is the ideal tool for academics, PhD students and research institutions. Follow 3 simple steps to start your science mapping analysis.

Import Your Data

Download records from Scopus, Web of Science, PubMed or other databases. Upload directly into bibliometrix or Biblioshiny.

Run Your Analysis

Choose from descriptive statistics, co-citation, co-authorship networks, thematic maps, keyword analysis and more.

Explore & Visualize

Interactive charts, dynamic networks and exportable reports help you interpret and share your findings.

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Start Mapping Science Today

Bibliometrix is free, open-source and available on CRAN. Install the R package in seconds or launch Biblioshiny directly from your browser.

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80126 Naples, Italy
www.k-synth.com
info@k-synth.com
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