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Connected Papers

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Visual research tool that maps related academic papers in an interactive graph using citation and co-citation analysis, covering 200M+ papers via Semantic Scholar.

Connected Papers is a free research discovery tool launched in 2020 that generates a visual graph of related academic work from a single seed paper. Unlike keyword search, it uses citation and co-citation similarity to surface papers that share intellectual context - even if they do not directly cite each other. The tool splits results into prior works (foundational research) and derivative works (what built on the paper), giving researchers a before-and-after picture of any topic. Connected Papers indexes 200M+ papers via Semantic Scholar and has been adopted by PhD programmes and researchers at hundreds of universities worldwide for systematic literature reviews.

#research
#academic
#citation-analysis
#literature-review
#visualization
Freemium

Free plan available

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www.connectedpapers.com
Freemium
Pricing Model
Research & Analysis
Category
2020
Since
Free Plan
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Key Features

  • Visual paper graph - displays semantic similarity and citation relationships as an interactive network
  • Prior works view - traces the intellectual lineage of a paper back through foundational research
  • Derivative works view - shows what research has been built on top of a paper since publication
  • One-click export of the full paper list for import into citation management tools
  • Powered by Semantic Scholar's 200M+ paper index for broad cross-discipline academic coverage
  • No account required to build graphs - immediate use for any indexed public paper

Use Cases

  • PhD students conducting systematic literature reviews to map an unfamiliar research area quickly
  • Researchers discovering seminal papers they would miss with keyword search alone
  • Scientists checking if a topic has been thoroughly covered before starting a new project
  • Science journalists tracing the origin of a research claim back to its foundational sources

Pros

  • Visual graph format reveals conceptual clusters and relationships that keyword search completely misses
  • Free to use without an account - zero friction for one-off literature discovery sessions
  • Prior/derivative works split gives a clear temporal view of a paper's full academic context

Cons

  • Coverage gaps exist in some fields like law and humanities that are under-represented in Semantic Scholar
  • Free plan limits the number of graph builds per month - heavy users require a paid subscription
  • Does not provide full-text access or PDF downloads - requires separate tools for reading papers

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