ResearchRabbit

ResearchRabbit approaches literature review as network exploration rather than keyword search. You seed a collection with a few papers you know are relevant, and it maps what cites them, what they cite, and which authors connect them.

How it works

• Similar work. From a seed set, it surfaces related papers by citation relationships rather than by title overlap, which finds work that uses different terminology for the same idea.
• Interactive graphs. Citation networks and author networks are explorable — click a node to expand the neighbourhood.
• Collections that learn. As you add papers, recommendations sharpen.
• Alerts when new papers appear that fit a collection, so a review stays current after you finish it.
• Collaboration. Share collections with co-authors and comment on papers.
• Zotero sync for keeping references in your existing manager.

Why it works

Keyword search finds the papers that use your words; citation graphs find the papers your field considers related. Those are different sets, and the second one is usually the one you were missing.

Free for academic use — the team has committed to keeping it free for researchers — with no ads and no paywalled tier.