Connected Papers
Visual map of research papers and their links
Visual tool for exploring academic paper connections. Creates a graph of related papers to help researchers find relevant literature.
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About Connected Papers
Connected Papers is a visual research discovery tool that generates interactive graph maps of academic literature. Enter any paper and Connected Papers builds a network diagram showing related work — papers that share citations, are frequently cited together, or address similar topics. Unlike keyword search, the graph reveals the intellectual landscape around a topic: foundational papers appear as large nodes, recent derivatives cluster together, and isolated papers stand out as potentially overlooked contributions. The tool is particularly useful for researchers entering a new field who need to quickly understand which papers are seminal, which are derivative, and which represent different schools of thought. Each node in the graph links to the paper's abstract, publication details, and external sources. Connected Papers uses the Semantic Scholar database for its underlying citation data. The free tier allows 5 graphs per month; Premium ($3/month) provides unlimited graphs.
✅ Pros
- +Visual graph interface reveals the intellectual landscape around a topic — impossible to replicate with keyword search
- +Instantly identifies foundational and highly-cited papers in an unfamiliar research area
- +Reveals clusters of related work and isolated papers that traditional search would miss
- +Simple interface: paste a DOI or paper title and get a graph in seconds
- +Affordable premium tier at $3/month — one of the cheapest research tools available
❌ Cons
- −Free tier limited to 5 graphs per month — insufficient for active researchers
- −Graph algorithm prioritizes citation overlap, which can miss newer papers with few citations
- −No ability to filter by date, journal, or field within the graph view
- −Coverage depends on Semantic Scholar database — some fields have better coverage than others
Key Features
Visual Citation Network Graphs
Enter any paper and receive an interactive network map showing related papers as nodes, sized by citation count and connected by shared references. The spatial layout reveals clusters of related work, foundational papers, and recent developments at a glance — a fundamentally different way to explore a research landscape than scrolling through search results.
Prior and Derivative Work Views
Toggle between two graph modes: Prior Work (papers that influenced your seed paper) and Derivative Work (papers that built on it). This lets you trace both the intellectual origins of an idea and how it has been applied or extended since publication.
Semantic Scholar Integration
Powered by the Semantic Scholar database covering 200M+ papers across all academic disciplines. Each node in the graph links to the full Semantic Scholar record for that paper, including abstracts, author information, citation counts, and links to PDFs where available.
Pricing Plans
- ✓5 graphs per month
- ✓Full graph visualization
- ✓Paper links and abstracts
- ✓Unlimited graphs
- ✓Priority processing
- ✓Support the project
Prices, plan limits, and promotions may change. Verify final pricing on the official site.
🏆 Our Verdict
Connected Papers fills a genuine gap that keyword search tools cannot: it shows you the shape of a research landscape rather than a ranked list of results. For researchers entering an unfamiliar field or conducting a literature review, spending 30 minutes with Connected Papers can replace days of citation-chasing. At $3/month for unlimited graphs, it's the most cost-effective research tool available. The main limitation is its reliance on citation overlap — very new papers may not appear even if they're highly relevant. Use Connected Papers for landscape mapping, then switch to Scite or Semantic Scholar for deep citation analysis.
✅ Best For
Quick Info
- Pricing
- freemium
- Category
- research
- Rating
- 4.0 / 5.0
- Last Reviewed
- June 2026