ResearchRabbit

ResearchRabbit is a free literature-discovery tool that maps academic papers as interactive visual networks. You seed a collection with a few papers you already trust, and it draws graphs of earlier work they cite, later work citing them, and similar papers by content and co-authorship. Clicking any node expands the map further — the team describes it as “Spotify for papers,” and the recommendation-feed comparison is apt: collections learn from what you add and keep suggesting.

The tool launched publicly in 2021, built by a small team led by Jeff Steward and Michael Ma, and runs on donations rather than subscriptions — there is no paid tier and the team has pledged it stays free for researchers. Under the hood it draws on open scholarly metadata (Semantic Scholar’s corpus of 200M+ papers), which is why coverage is strong in sciences and thinner for humanities monographs.

Compared with alternatives, ResearchRabbit sits between Connected Papers (prettier one-shot graphs, limited free use) and Litmaps (timeline-style maps, subscription for serious use). Its edge is that collections are living: it emails weekly digests when new papers appear that fit a collection, turning a one-time search into standing surveillance of a research area.

Key Features

• Interactive citation networks: earlier work, later work, and similar papers
• Author graphs showing collaborators and their other publications
• Living collections with weekly email alerts for newly published related work
• Two-way Zotero sync to pull in and export references
• Shared collections for labs and co-author teams, with comments
• Timeline view to trace how a research thread developed
• Unlimited collections and searches at no cost

Pricing

• Free: Everything — unlimited collections, alerts, collaboration, and Zotero sync. There is no paid plan; the project is donation-supported.

Best For

PhD students starting a literature review, supervisors mapping a new field quickly, and any researcher who wants automatic alerts when relevant work appears — especially useful for finding the papers a keyword search on Google Scholar never surfaces.

Limitations

ResearchRabbit finds papers; it does not read them for you. There is no summarization, question-answering, or data extraction — pair it with Elicit or a PDF chat tool for that. The multi-panel interface becomes unwieldy once collections grow past a few hundred papers, and metadata gaps mean older or non-English work can be missing from graphs.