Connected Papers

Connected Papers is a visual research tool for finding and exploring papers related to an origin paper. It analyzes a large paper corpus, selects strongly connected works, and lays them out in a force-directed graph based on co-citation and bibliographic coupling. Researchers can use the graph to discover similar literature, trace influential works, and explore a field beyond direct citation links.

✨ Key Features

• Start from an origin paper — Use a known paper as the anchor for a literature graph.
• Discover related work visually — Explore papers positioned by similarity rather than a simple list.
• Use co-citation signals — Find works that share important citation relationships.
• Use bibliographic coupling — Surface papers with overlapping references.
• Inspect connected nodes — Select papers and follow their relationships in the graph.
• Highlight paths to the origin — See the shortest similarity path from a node to the starting paper.
• Explore prior works — Find earlier research connected to the origin paper.
• Explore derivative works — Find later research that builds on the same research neighborhood.
• Support literature discovery — Use the graph as a starting point for review and research planning.

💳 Pricing

Connected Papers provides individual and group/commercial subscription paths, but its public pricing page requires JavaScript and did not expose a reliable current price table in the audit. Verify the current Personal, Premium, Business, and group terms, quotas, and commercial-use rights in the live account pricing flow before subscribing.

⚖️ Alternatives Compared

🎯 Use Cases

• Expanding the seed papers for a literature review.
• Finding similar papers that do not directly cite the starting paper.
• Tracing influential earlier work in a research area.
• Discovering later derivative work around an important paper.
• Exploring a new field before choosing search terms.
• Mapping relationships among papers for a dissertation.
• Finding candidate papers for a systematic-review screening set.
• Comparing a visual graph with keyword and citation searches.