ResearchRabbit

ResearchRabbit is presented as an AI-powered literature review tool. According to the page, it analyzes papers users select and finds related research, letting users explore how papers connect visually through maps of ideas. Users can bring their reference library into ResearchRabbit, add related works, new authors, and emerging topics to their searches, and the page states the tool learns from each search to deliver more relevant recommendations. The page states it provides access to over 320 million academic papers and mentions a citation graph and a recommendation engine. Testimonials on the page describe uses such as mapping a research field, identifying relevant authors, finding gaps in literature, and reducing the time-consuming nature of literature reviews. Sign-up is described as free.

Key features

• Finds related papers based on papers users select
• Builds maps of connections between papers (citation maps)
• Iterative 'rabbit hole' chaining from a seed paper
• Connects user's reference library with ResearchRabbit
• Recommendations that improve as users add related works, authors, and topics
• Access to over 320 million academic papers
• Configurable citation graph
• Visual exploration of a research topic

Best suited for

• Researchers conducting literature reviews
• Academics mapping a research field
• Students and librarians discovering related research
• Identifying relevant authors and potential gaps in literature

Pricing

Sign-up is described as free on the website; detailed pricing tiers are not stated on the supplied page.