ResearchRabbit

What it does

ResearchRabbit takes in seed papers that you select and returns a visual map of related literature. It analyzes bibliographies, citations, co-authors, and emerging topics around those seeds, then recommends further articles. Each search and selection helps the tool refine its recommendations over time, according to the site.

People use it to map a research field, identify relevant authors, and spot gaps in existing literature, often by iteratively adding papers from recommendations. Users can build libraries and collections, share them with collaborators, and upload their own reference library. What distinguishes it from keyword database searches is this chaining approach that connects papers visually.

ResearchRabbit suits students, researchers and academic teachers preparing literature reviews. Its Free Forever plan supports unlimited searches and collections, with up to 50 seed articles. ResearchRabbit+ raises that limit to 300 and adds search and organization controls, while institutions can arrange library access. A citation graph is a way to discover further reading, rather than proof that a topic has been covered completely or that a paper is reliable. Review the underlying studies and use additional search methods when completeness matters.

What it can do

• Recommend related papers from seed articles
• Visualize connections between papers, authors, and topics
• Search across over 300 million academic papers
• Build and share unlimited libraries and collections
• Upload a reference library and connect it to searches
• Discover emerging topics and new authors through iterative searches

Works with

• LibKey (institutional subscriptions, RR+ Institution tier)

Example workflows

Map a new literature review

Illustrative example. Input: one seed paper. Steps: add the seed to a collection, review recommended related papers, select relevant ones to add as new seeds, repeat. Output: a connected map of related papers and authors.

Find gaps in a field

Illustrative example. Input: a set of collected papers. Steps: review the visual connections among the collection, note authors and topics that appear frequently or sparsely, and search from underrepresented areas. Output: a shortlist of candidate papers for further reading.

Before you choose

• Free supports up to 50 seed articles; ResearchRabbit+ raises the limit to 300.
• Citation maps and recommendations do not guarantee complete coverage or study quality.
• LibKey integration is an institutional feature; confirm access with your library.

Listed under

• Data
• Research
• Academic research
• Citation mapping
• Literature review
• Paper recommendations
• Research discovery
• Researchers

Get started

Free Forever tier requires no payment.

1. Create a free account at app.researchrabbit.ai.
2. Add one or more seed articles to start a search.
3. Build a collection and optionally upload a reference library.

Free Forever includes searches, collections, collaboration and up to 50 seed articles. ResearchRabbit+ adds larger searches and advanced controls. The pricing card and FAQ differ on the paid amount and billing basis, so confirm the selected term and country discount before subscribing. Institutional plans are quoted separately.

Source: researchrabbit.ai/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• ResearchRabbit: AI Tool for Smarter, Faster Literature Reviews ↗www.researchrabbit.ai
• Pricing | ResearchRabbit ↗www.researchrabbit.ai

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.