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Research Rabbit

Follows citations to map entire research areas

Free research discovery tool that maps academic literature. Find papers, track new publications, and visualize how ideas connect.

4.0
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About Research Rabbit

Research Rabbit is a free literature discovery and mapping tool often described as 'Spotify for research papers.' It generates visual citation networks similar to Connected Papers but adds collaborative features and a recommendation engine that learns from papers you save. Add papers to a collection and Research Rabbit builds a network map showing related work, earlier foundational papers, and newer derivatives. The recommendation engine suggests papers you haven't seen based on the citation patterns of papers you've saved — improving over time as you curate your collection. Research Rabbit integrates with Zotero for seamless reference management. A key differentiator is its completely free pricing model: all features are available at no cost, funded by institutional partnerships. The platform is particularly popular among PhD students and academic researchers for collaborative literature reviews, where multiple team members can contribute to shared paper collections.

Pros

  • +Completely free — all features including collaboration, monitoring, and recommendations at no cost
  • +Recommendation engine learns from your saved papers and improves suggestions over time
  • +Collaborative collections allow research teams to build shared literature maps together
  • +Zotero integration syncs your reference library bidirectionally
  • +Email alerts when new papers are published by authors you follow or in topics you track

Cons

  • Smaller paper database than Semantic Scholar or Scite — coverage gaps in some fields
  • Graph visualization less polished than Connected Papers for complex networks
  • Recommendation quality varies significantly by research field
  • No PDF annotation or reading features — purely a discovery and mapping tool

Key Features

Visual Citation Networks

Add papers to a collection and Research Rabbit generates an interactive map showing related work organized by citation relationships. Earlier influential papers appear on the left, newer derivative work on the right, and you can click any node to add that paper to your collection and expand the map.

Personalized Recommendations

The recommendation engine analyzes citation patterns across your saved papers and suggests related work you haven't encountered. Recommendations improve as you curate your collection — accepting or dismissing suggestions trains the algorithm to your specific research focus.

Collaborative Collections

Share collections with collaborators who can add papers, view maps, and receive the same recommendations. Ideal for research teams conducting joint literature reviews — everyone works from the same evolving map and benefits from each other's paper additions.

Pricing Plans

Free$0/month
  • Unlimited paper collections
  • Visual citation maps
  • Recommendations
  • Collaboration
  • Zotero sync
  • Author following
  • Email alerts

Prices, plan limits, and promotions may change. Verify final pricing on the official site.

🏆 Our Verdict

Research Rabbit's most compelling feature is its price: completely free, with no meaningful feature restrictions. For PhD students and academic researchers who need citation mapping, literature monitoring, and collaborative features without a subscription budget, it covers the core use cases well. The recommendation engine is a genuine differentiator — it gets more useful the more papers you add. The main limitations are database coverage (smaller than Semantic Scholar) and visualization polish (Connected Papers looks better). But for free, collaborative citation mapping with Zotero integration, Research Rabbit has no real competitor.

Best For

PhD students on a budgetCollaborative literature reviewsResearchers wanting free citation mappingZotero usersBuilding reading lists in new research areasFollowing specific authors' work

Quick Info

Pricing
free
Category
research
Rating
4.0 / 5.0
Last Reviewed
June 2026
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