Connected Papers
Visual co-citation graph tool for discovering relevant academic papers
π¬ What is Connected Papers?
Connected Papers is a visual tool that maps academic papers into a graph based on co-citation relationships, helping users surface literature relevant to a seed paper. It is aimed at researchers and applied scientists who need to find prior work, identify overlooked references, or understand the structure of a research field. The product draws on databases such as Semantic Scholar and PubMed to cover tens of millions of papers. It is commonly used as part of literature-review and discovery workflows across scientific disciplines.
Who it's for
Best for: Academic researchers and graduate students running literature reviews across scientific disciplines
- Finding prior and derivative works for a known paper
- Mapping the landscape of a research field
- Identifying overlooked references during a literature review
- Onboarding into a new sub-field by starting from a familiar paper
Pros & cons
- Visual, graph-based presentation of related literature rather than a flat list
- Explicitly positioned for researchers and applied scientists
- Site does not function without JavaScript enabled
Key features
- Builds a graph of papers related to a given seed paper using co-citation analysis
- Surfaces prior works and derivative works for a starting paper
- Visual map of paper relationships rather than a linear list of results
- Indexes data from Semantic Scholar and PubMed
- Covers tens of millions of academic papers
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Frequently asked
Who is Connected Papers for?
Researchers and applied scientists who want to find and explore academic papers relevant to their field.
What data sources does it use?
It builds its graphs from academic databases including Semantic Scholar and PubMed.
Does it require JavaScript?
Yes, the site notes that it does not work properly without JavaScript enabled.