ResearchRabbit

About ResearchRabbit

ResearchRabbit is a citation discovery engine that helps researchers find academic papers related to their existing reading lists. Users add papers they already know about, and the tool automatically surfaces connected works through citation and reference networks, displaying these relationships as interactive visual maps. The platform identifies both papers that cite a given work and papers that a given work cites, allowing researchers to trace intellectual lineages forward and backward through a body of literature. It also surfaces similar papers based on content and co-citation patterns, and highlights relevant authors working in the same space. The primary use cases center on literature reviews, research onboarding, and staying current with a field. A PhD student beginning a new research area can seed the tool with a handful of foundational papers and quickly map the surrounding landscape of related work. Established researchers use it to monitor new publications and discover work they may have missed. The visual graph interface distinguishes ResearchRabbit from traditional database searches by making the structural relationships between papers immediately apparent rather than presenting results as flat ranked lists. Users can organize papers into collections, share those collections with collaborators, and receive recommendations as new relevant work is published. ResearchRabbit is aimed primarily at academic researchers, graduate students, and anyone conducting systematic or exploratory literature reviews across scientific and scholarly disciplines. The tool integrates with Zotero, allowing users to sync their existing reference libraries directly into the platform. As of available information, ResearchRabbit is free to use, positioning itself as a community-oriented tool for the research community rather than a paid subscription service, though users are required to create an account to access its features. The combination of visual mapping, automated recommendations, and collaboration features makes it a practical complement to traditional database searches through platforms like Google Scholar or PubMed.

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