AI Research
ResearchRabbit
ResearchRabbit+: country-parity discounts for eligible locations
Special offer
Map related research papers and build a literature-review reading list
ResearchRabbit helps students and researchers explore a literature review through connected papers rather than rely only on a list of search results. Starting with relevant seed articles, users can follow citation relationships and inspect interactive maps to find related work and authors. Its recommendations adapt as a researcher explores papers, making it useful for developing a reading list around a topic. Libraries and collections keep those findings organized, and shared collections support collaboration. The free tier includes unlimited searches, libraries and collections, sharing, and up to 50 seed articles; RR+ expands the seed limit to 300 and adds advanced search controls and multiple projects. It helps discover and organize literature, but users still need to read the underlying papers and assess their relevance; it should not be treated as a substitute for evaluating the research itself.
Explore citation connections, adaptive paper recommendations and shared literature-review collections. A free core is available, with paid RR+ controls for larger reviews.
Recommendations change with the papers and topics a user explores, helping researchers discover related literature beyond an initial search list.
Explore interactive connections between papers and authors, using seed articles to trace related work and develop the scope of a literature review.
Organize selected literature into libraries and collections and share collections for collaboration. The free plan includes unlimited libraries and collections.
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