🔍 What is Connected Papers?

Connected Papers is a unique AI-powered visualization tool that helps researchers discover and explore academic papers through their citation relationships. Rather than using keyword searches, Connected Papers starts with a 'seed paper' and builds an interactive graph of related papers based on co-citation and bibliographic coupling analysis. This visual approach reveals the structure of research fields and helps identify important papers that traditional keyword searches might miss.

Connected Papers' AI analyzes the citation network around any given paper, identifying the most closely related works based on how frequently they are cited together with the seed paper (co-citation) and how many references they share (bibliographic coupling). The results are displayed as an interactive force-directed graph where related papers are clustered together, with node size indicating citation count and color representing publication year. Users can explore the graph, find seminal papers, and discover new research directions.

For researchers entering a new field, looking for related work, or trying to understand the intellectual landscape of a research area, Connected Papers provides an intuitive visual tool for literature discovery. The platform makes visible the hidden structure of academic knowledge that traditional search interfaces cannot convey.

✨ Key Features

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Visual Citation Graph Interactive force-directed graph that visualizes paper relationships based on co-citation and bibliographic coupling analysis.

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Seed Paper Exploration Start with any paper (by URL, DOI, or title) and instantly see its network of related academic works.

🎨

Prior & Derivative Works Identify seminal prior works that influenced a paper and derivative works that built upon it.

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Dynamic Graph Filtering Filter the graph by year, citation count, or relevance to focus on the most important or recent works.

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One-Click Paper Access Click any paper in the graph to see its abstract, citation count, and link to the full text on publisher or arXiv.

💰 Pricing

Free

$0/mo

Unlimited graph generation, 20 papers per graph, basic filtering, one-click paper access, no registration required.

Pro

$10/mo

Unlimited graphs, 50 papers per graph, advanced filtering, export graphs as images, priority support.

Academic

Custom

Everything in Pro, larger graphs, API access, batch processing, institutional access.

📊 Pros and Cons

Pros

Brilliantly intuitive visual interface for discovering related research
No registration needed for the free tier — just paste a paper link and explore
Reveals connections between papers that keyword searches would never surface

Cons

Graph quality depends on the seed paper — niche or very new papers may produce sparse graphs
Limited to citation network analysis — doesn't include other discovery methods like content similarity

🎯 Best For

Exploring new fields: graduate students or researchers entering an unfamiliar area can quickly map the intellectual landscape Literature review completeness: finding related papers that keyword searches missed for thorough literature reviews Identifying seminal works: discovering foundational papers in a field that have influenced subsequent research directions

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Ready to try Connected Papers?

🌐 Visit Connected Papers Website