Connected Papers maps academic literature into an interactive similarity graph so researchers can see the landscape around a topic quickly. Start from a seed paper to find related work, influential predecessors, and emerging follow-ups. Explore clusters to learn how fields split and converge, then build reading lists that span disciplines. Filters, notes, and export options keep reviews organized so findings are simple to share across labs and committees.
Enter a seed paper to generate a graph of closely related works based on co-citation and textual proximity. Dense clusters reveal subtopics, while bridges highlight interdisciplinary links. Hover previews show abstracts and venues so you can triage quickly. Pivot from any node to rebuild the graph around a new center and continue exploring without getting lost, preserving context as you branch into adjacent domains and methods.
See prior influences and follow-on developments without parsing long reference lists. Backward views surface foundational works a paper relies on; forward views reveal descendants and current conversations. This timeline helps position your contribution and avoid accidental duplication. You also spot gaps where a method or dataset has not yet been applied, shaping proposals and experiments with clearer motivation.
Save papers to collections with notes on results, methods, and open questions. Tag items by theme or experiment so you can slice the list for collaborators. Status markers show which papers are read, prioritized, or out of scope. Shared collections keep committees and teammates aligned on what evidence supports a direction, and these notes speed writing later by capturing claims, caveats, and follow-ups in a structured way.
Filter by venue, year, and domain to focus on credible sources and current work. Quality signals such as citation patterns and network centrality help separate novelty from noise. Watch topics for fresh publications and revisit graphs as fields shift. Saved views make it easy to resume where you left off and compare angles on the same question so pivotal papers are caught early, not after a draft has already circulated for review.
Export references to citation managers and share static snapshots of graphs for presentations. Links back to publisher pages and preprints streamline access to full texts. Lightweight collaboration features let labs coordinate reading without heavy infrastructure. Because exports carry your tags and notes, evidence stays connected as drafts move between tools, reducing rework when a survey becomes a manuscript or slide deck.
Recommended for students, academics, and R&D teams starting a literature review or entering a new area. Connected Papers reveals structure, overlap, and gaps so plans form around evidence rather than chance. Advisors get a clear view of progress, and collaborators share the same map while dividing reading. Interdisciplinary projects benefit from bridges that surface adjacent methods and applications and speed onboarding.
Manual searches produce scattered lists and missed context. Connected Papers maps similarity, heritage, and follow-up at once, turning a seed paper into a digestible overview. Collections, filters, and alerts transform ad-hoc bookmarks into a living review. The result is faster ramp-up, fewer blind spots, and better grounded writing that cites the right works early, shifting time from hunting to understanding and accelerating drafts.
Visit their website to learn more about our product.
Grammarly is an AI-powered writing assistant that helps improve grammar, spelling, punctuation, and style in text.
Notion is an all-in-one workspace and AI-powered note-taking app that helps users create, manage, and collaborate on various types of content.
.png){kind=logo}
0 Opinions & Reviews