🚀 2400+ AI tools in the Mega Directory — catalogue updated November 2026.

Connected Papers

Visual tool that maps similar academic papers around one seed paper.

Research ToolsFree planFree plan; Academic from $6/mo annual

Connected Papers is a visual tool that maps similar academic papers around one seed paper. Enter a paper you know, and it builds a graph of the most similar papers — connected by citations and content — so you can see the field at a glance and find the key papers you missed.

Key Features

  • Visual similarity graphs around any paper
  • Finds seminal papers in a field fast
  • Multi-origin graphs from several seed papers
  • Save and share graphs with your team
  • Prior works view for literature reviews
  • Free plan with 5 graphs a month

Pricing

PlanPriceDetails
Free$05 similarity graphs a month.
Academic$6/mo annualUnlimited graphs and features.
Business$20/mo annualTeam features and higher limits.

Prices as listed in 2026 research. Always check the official site for the latest price — plans change. Free plan: Yes — it has a free plan.

Best for: researchers who discover new papers by visualising how they connect to one they already know.
Popular with: Students, Teachers, Writers

How it works

The tool is free for 5 graphs a month, with Academic at $6 a month on annual billing for unlimited graphs and Business at $20 for team features. It is a simple, focused tool that does one thing well: showing you the papers that matter around the one you started with.

Connected Papers is a favourite among researchers for literature reviews. It will not replace a search engine, but for exploring a field visually and finding the seminal papers fast, it is one of the most useful research tools available.

Pros and Cons

✓ Pros

  • Visual graphs make a field easy to explore
  • Finds seminal papers you would miss by search
  • Free plan to test the graphs
  • Cheap Academic plan at $6 a month

✗ Cons

  • Free plan covers only 5 graphs a month
  • Visual only — no full-text search or PDF reading
  • Coverage is thinner in some fields than Semantic Scholar

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Last reviewed: November 2026

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