Bibliometrix
Bibliometric analysis in R — reproducible science mapping, code-first.
At a Glance
- Publisher
- Massimo Aria and Corrado Cuccurullo (open source)
- Coverage
Not a content database — an open-source R package (with the Biblioshiny web UI) for comprehensive bibliometric and science-mapping analysis from database exports (verify current counts).
- Access
Free and open source; R package plus Biblioshiny GUI.
- Free alternative
- It is free; VOSviewer, CiteSpace.
- Regional
Global.
Our Take
Bibliometrix is the choice for reproducible, code-driven bibliometrics — an R package that runs the full analytical suite (productivity, collaboration, co-citation, thematic maps) from Scopus, WoS, or other exports, with the Biblioshiny GUI for those who prefer buttons to code. Because it’s scriptable, your analysis is reproducible and customizable in ways the point-and-click tools aren’t. The trade-off is that you’re in R (or its web UI), which suits analysts more than casual users. Use it for rigorous, reproducible science mapping; VOSviewer for quick visual maps.
Power Tips
- Script your analysis so the whole bibliometric study is reproducible from raw exports.
- Use Biblioshiny if you want the analyses without writing R.
- Feed it clean, complete records — thematic and co-citation maps depend on reference data.
Alternatives & Complements
VOSviewer, CiteSpace, Publish or Perish, OpenAlex
Figures last verified: June 15, 2026