What is Connected Papers?
Connected Papers maps academic literature into a visual graph, allowing researchers to enter a paper and instantly view related works and citation pathways. The interface supports building multiple graphs, letting users explore trends, influential papers, and emerging research directions.
By highlighting ancestor and derivative works, the tool helps scholars construct comprehensive bibliographies and identify key literature for theses or reviews. It draws from the Semantic Scholar database, covering machine learning, biology, philosophy, and other scientific fields.
Connected Papers user reviews
Based on 23 reviews, 73.9% of users recommend Connected Papers, rated highly for value for money.
17
recommend
6
don't
23 reviews
Liked for
Worth the price
14 of 17
Quality results
12 of 17
Easy to use
9 of 17
All key features
9 of 17
Good integrations
7 of 17
Disliked for
Missing features
4 of 6
Lacks integrations
3 of 6
Inconsistent results
2 of 6
Not worth the price
2 of 6
Hard to use
2 of 6
Would you recommend Connected Papers?
Recommend this tool?
Connected Papers's key features
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Visual graph of papers
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Build paper similarity graph
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Discover related recent papers
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Identify prior works
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Identify derivative works
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Generate bibliography gaps
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Semantic Scholar database coverage
Connected Papers use cases
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Build a comprehensive, up-to-date bibliography for a grant proposal by entering a seminal paper, then instantly following citation pathways and related works to capture key studies, recent breakthroughs, and relevant gaps
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Spot research gaps and emerging trends by exploring the literature discovery graph: start with a core article, trace citation networks to uncover under‑studied sub‑fields, and identify promising directions for a thesis or startup idea
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Create an engaging conference poster that visualizes the evolution of a research topic: use Connected Papers’ citation pathway explorer to illustrate how key findings and theories interconnect across time, highlighting pivotal works and recent contributions
Who is it for?
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Academic researchers
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Research writers
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Data analysts
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Knowledge managers
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Subject matter scholars
