Research Rabbit

ResearchRabbit is an AI assisted literature discovery tool designed to help researchers move from a few seed papers to a broader view of a field. The site describes workflows for finding related papers, building citation maps, and tracking research trends, and its guides walk through creating collections and exploring connections between papers and authors. This makes it useful for literature reviews, thesis topic exploration, and staying current as a field evolves. ResearchRabbit publishes a clear pricing page. The Free plan is $0 forever and includes unlimited searches across 280 plus million articles, searching from up to 50 inputs, basic search settings, and one project. An RR+ plan is also listed for users who need more than a single project and expanded settings, which provides a path to scale without switching tools. In use, the quality of results depends on your starting seeds and how you curate collections. A reliable approach is to add a small set of canonical papers, review suggested related work, and then use citation maps to identify clusters and influential authors. Alerts can help you track updates to a collection over time so you do not re run searches manually. For teams and labs, confirm collaboration options, export needs, and how it fits with your reference manager workflow. Evaluate it against alternatives by testing discovery breadth, map readability, and whether the tool helps you find both foundational papers and recent work efficiently.