Organize and analyze

Bibliographic Coupling

Find papers linked by shared references.

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What you can explore

A network connecting papers through references they have in common.

Bibliographic Coupling interface in SciMaps with sample research data
Actual SciMaps interface with sample data. Available records and results depend on your sources and configured services.

What you need

Selected project sources with usable reference lists.

How to use it

  1. Choose the papers to compare.
  2. Open Bibliographic Coupling in Bibliometrics.
  3. Inspect shared references and thresholds; open AI Insights for optional AI-assisted interpretation.

Illustrative example

Suppose Papers P and Q in your selected collection both cite References A and B. The papers P and Q are nodes; their link records shared references. This is bibliographic coupling even if P never cites Q. Missing reference lists and thresholds affect the link; shared references do not mean identical findings.

Interpretation and limitations

Shared references are evidence of related citation context, not identical findings. Missing reference lists change link strengths. Results describe the selected sources and available metadata; they do not represent all research in a field.

Related tools

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