Research Rabbit
FreeResearchAcademicTRENDINGFree AI tool that discovers related papers and visualizes research networks from your seed papers.
Overview
Research Rabbit is a free research discovery tool that helps academics find related papers, track new publications, and visualize research networks. Users start by adding seed papers to a collection, and Research Rabbit uses AI to recommend similar work, earlier foundational papers, later derivative work, and papers by the same or related authors - creating a comprehensive map of the relevant literature.
Often described as the Spotify of research papers, Research Rabbit learns from the papers you add to your collections and continuously improves its recommendations. The platform provides visual network graphs showing how papers relate to each other, along with author network visualizations that reveal collaboration patterns and key researchers in a field.
Research Rabbit is completely free for individual researchers, funded by institutional partnerships. It integrates with Zotero for seamless reference management and sends email alerts when new relevant papers are published, making it an excellent passive discovery tool that works alongside your existing research workflow.
Key Features
- +AI-powered paper recommendations from seed paper collections
- +Visual network graphs of paper and author relationships
- +Earlier and later work discovery for tracing research lineage
- +Author network visualization showing collaboration patterns
- +Zotero integration for reference management
- +Email alerts for new papers matching your collections
- +Completely free for all researchers
Use Cases
Pros & Cons
Pros
- +Completely free with no usage limits or feature restrictions
- +Recommendation engine improves as you add more papers to collections
- +Zotero integration fits naturally into existing research workflows
- +Visual network graphs provide unique insight into research landscapes
- +Email alerts enable passive, ongoing literature monitoring
Cons
- xNo built-in paper reading or summarization features
- xRecommendation quality depends on having good seed papers
- xVisualization can become cluttered with very large collections
Pricing Details
Completely free for all researchers. No paid tiers. Funded through institutional partnerships.