Research Rabbit
Build interactive citation graphs from a handful of seed papers, letting you visually discover related, earlier, and newer work instead of relying on flat keyword search.
Alternatives
Overview
Research Rabbit is a literature mapping and citation network visualization tool that helps researchers discover related academic papers through visual exploration of citation relationships, functioning more like a knowledge graph navigator than a traditional keyword search. Starting from one or more seed papers, Research Rabbit maps out the papers they cite and the papers that cite them, visualizing the citation network as an interactive graph where proximity indicates conceptual relationship. This allows researchers to identify influential foundational papers, track how ideas have evolved through the literature, and discover relevant work they wouldn't find through standard database searches because it uses different terminology.
The AI recommendations suggest papers that researchers with similar reading lists have found valuable, a collaborative filtering approach to literature discovery. Research Rabbit is integrated with Zotero for direct export of discovered papers to reference management workflows. The platform is currently free, with funding from the academic community and research institutions.
Research Rabbit is particularly valuable in the early stages of a literature review, when the boundaries of a research area are still unclear and systematic discovery of the field is more useful than targeted searching for known terms.
Key Features
- Visual paper network
- Related paper discovery
- Similar author discovery
- Zotero integration
- Collection sharing
- • Completely free
- • Unique visual approach to literature review
- • Discovers papers human search misses
- • Zotero sync is seamless
- • Not for casual users
- • Limited to academic papers
- • Network can get overwhelming on large topics
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