bibliometrix-Assisted Co-Citation Analysis
Also known as: R bibliometrix co-citation, bibliometrix CCA, co-citation network analysis with bibliometrix, bibliometrix cocitation mapping
bibliometrix-assisted co-citation analysis combines Henry Small's co-citation measure with the open-source R package bibliometrix to map the intellectual structure of a research field. When two documents are frequently cited together by third papers, they are considered intellectually linked; the bibliometrix package automates construction of the co-citation matrix, similarity normalization, community detection, and network visualization, turning raw bibliographic exports into interpretable science maps.
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When to use it
Use bibliometrix-assisted co-citation analysis when you need to map the intellectual foundations of a research field and identify its major theoretical schools or paradigms from a large corpus of bibliographic records (typically 200+ source documents). It is well suited to systematic or scoping reviews that seek to contextualize findings within the field's historical development. Do not use it as a substitute for a content-based literature review: co-citation analysis reveals structural proximity between references but cannot assess the quality, direction, or nuance of individual arguments. It is also inappropriate when the corpus is too small (fewer than ~100 documents with sufficient cited references) or when the research question concerns the content of individual papers rather than field-level intellectual structure.
Strengths & limitations
- Fully reproducible: the bibliometrix R pipeline is open-source, version-controlled, and scriptable, making every analytic step auditable.
- Handles large corpora efficiently — thousands of documents and tens of thousands of cited references can be processed in a single R session.
- Supports multiple database formats (Web of Science, Scopus, PubMed, Dimensions) with a unified import interface.
- Produces publication-ready network visualizations and summary statistics (co-citation frequency, centrality, clustering) in a single workflow.
- Free and actively maintained, with extensive documentation and a companion Shiny app (biblioshiny) for researchers who prefer a GUI.
- Results depend heavily on the source database: coverage differences between Web of Science and Scopus can produce noticeably different co-citation networks from the same topic query.
- Co-citation reveals structural proximity but not the direction or valence of intellectual influence — two references may be co-cited as rivals, complements, or by coincidence.
- Community detection is sensitive to algorithm choice and resolution parameters; different settings can yield different cluster solutions, and there is no single objectively correct partition.
- Requires familiarity with R; researchers without programming experience face a learning curve despite the availability of biblioshiny.
Frequently asked
What is the minimum corpus size for a meaningful co-citation analysis?
A commonly cited practical threshold is around 100–200 source documents. Below this, the co-citation matrix is sparse and clusters are unreliable. If your search returns fewer records, consider broadening the query, extending the time window, or switching to bibliographic coupling, which can be more informative with smaller corpora.
How does bibliometrix co-citation analysis differ from using VOSviewer for the same task?
Both tools can produce co-citation networks from the same matrix data. bibliometrix performs the full pipeline inside R, offering greater scripting flexibility, reproducibility, and integration with other R packages. VOSviewer specializes in visualization and offers a more polished interactive map. Many practitioners export the co-citation matrix from bibliometrix and import it into VOSviewer for final visualization, combining the strengths of both.
Should I analyze co-citation of references, authors, or journals?
Reference co-citation (document level) maps the most granular intellectual structure and is best for identifying foundational works and paradigms. Author co-citation maps schools of thought at the researcher level and is useful when the field is defined by prominent individual contributors. Journal co-citation maps disciplinary boundaries and is useful for understanding cross-disciplinary flows. Choose based on whether your question is about specific works, researchers, or disciplines.
How do I report bibliometrix co-citation analysis in a manuscript?
Report the source database(s), query terms, date range, number of source documents included, the bibliometrix version and R version used, the network construction parameters (unit of analysis, minimum co-citation threshold), the normalization method, and the community-detection algorithm with its resolution parameter. Include the network plot and a table of the top co-cited references per cluster. This level of detail allows replication.
Can co-citation analysis replace a traditional systematic review?
No. Co-citation analysis maps the structural relationships among references but does not evaluate study quality, synthesize findings, assess risk of bias, or answer a focused clinical or empirical question. It functions as an exploratory or contextualizing tool — often used in the scoping or background phase of a larger review — not as a substitute for content-based synthesis.
Sources
- Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI: 10.1016/j.joi.2017.08.007 ↗
- Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. DOI: 10.1002/asi.4630240406 ↗
How to cite this page
ScholarGate. (2026, June 3). bibliometrix-Assisted Co-Citation Analysis. ScholarGate. https://scholargate.app/en/scientometrics/bibliometrix-assisted-co-citation-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Bibliographic CouplingBibliometrics↔ compare
- Bibliometric AnalysisScientometrics↔ compare
- Co-Citation AnalysisBibliometrics↔ compare
- Network-based Co-citation AnalysisScientometrics↔ compare
- Science MappingBibliometrics↔ compare
- VOSviewer-assisted co-citation analysisScientometrics↔ compare