Research Rabbit is a free AI-powered academic literature discovery platform that helps researchers find papers and map the relationships between them. It functions like a visual recommendation engine for academic research: start with a seed paper or set of papers, and Research Rabbit finds related work — papers that cite your seeds, papers cited by your seeds, and papers that cite the same sources (co-citations) — surfaced in a visual graph that shows how ideas connect.

The visual citation graph is Research Rabbit's most valuable feature: rather than a list of related papers, you see a map of how research in a field is structured — which papers are central nodes that many others cite, which authors cluster together, and which subfields connect to each other. This provides a research landscape view that helps academics understand a field's intellectual structure more quickly than reading bibliographies linearly.

Research Rabbit is free, which is a meaningful differentiator in a space where academic database access can be expensive. The library management features let you organize papers into collections, add notes, and collaborate with team members on shared literature databases. Integration with Zotero makes it compatible with existing academic reference management workflows. For academic researchers, it's a compelling complement to standard search databases like Google Scholar and PubMed.

🐱 SAGE SAYS

Use Research Rabbit to build your initial map of a field, then use it alongside traditional searches to verify you haven't missed important papers. The visual citation graph is particularly useful for identifying the 'canonical' papers in a field that everyone builds on.

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