Free AI-powered research discovery tool that helps researchers find, organize, and visualize relevant academic papers through intelligent recommendations and interactive visualizations.
Uses machine learning algorithms to analyze user interests and provide tailored suggestions for relevant academic papers, streamlining the research process.
Offers visual maps of paper relationships and author networks to explore connections in research, enhancing understanding and discovery.
Allows users to create, share and collaborate on collections of papers with other researchers, fostering a community-driven approach to research.
Streamline Literature Reviews: Utilize AI-driven recommendations to quickly find and organize relevant papers for research projects.
Enhance Research Understanding: Leverage interactive visualizations to uncover connections between papers and authors, deepening research insights.
Discover New Research Connections: Explore AI-driven suggestions to uncover new papers and authors related to your research interests.
Sign up for a free account: Visit the ResearchRabbit website and create a free account to get started.
Create a collection: Start a new collection, which is like a playlist for research papers on a particular topic.
Add seed papers: Add 5-10 relevant papers to your collection to start. You can search for papers or import from citation managers like Mendeley or Zotero.
Explore recommendations: ResearchRabbit will analyze your seed papers and suggest related papers. Browse and add relevant ones to your collection.