ResearchRabbit
-
ResearchRabbit (ResearchRabbit, Seattle 2021, Acquired by Litmaps May 2025)
Status: Active (founded 2021, Seattle WA, ~3 employees pre-acquisition; acquired by Litmaps Ltd., New Zealand on 08-May-2025, financial terms undisclosed; operates as independent product, 1M+ researchers, 310M+ papers indexed, researchrabbit.ai reachable 2026-08, no discontinuation). Category
ai-productivity-data;pipeline_stage=none.Note on naming: the operating brand/URL remains ResearchRabbit; the parent is Litmaps (portfolio of AngelHQ, Exponential Partners, Icehouse Ventures, K1W1, Quidnet, Scholarly Angels). Earlier “Shanghai / 2019” and “InVideo-style” attributions floating on low-authority sites are wrong — do not use.
1. Introduction
ResearchRabbit is a citation-network literature discovery and mapping engine, not an AI research assistant that reads papers for you. You start with one or more “seed” papers, and it expands outward through six discovery modes — Similar Work, Earlier Work, Later Work, Citations, References, Authors — building an interactive graph of papers, co-authors, citations, and topic clusters. As your collection grows, its recommender learns your direction and surfaces Suggested Papers; you drag useful nodes back into the collection and repeat. The result is a visual “rabbit hole” for backward/forward citation chasing that replaces hours of manual Scopus/Web of Science clicking. It exports to Zotero / BibTeX / RIS / CSV and supports shared collections for collaboration. It does not summarise papers, answer questions, or synthesize evidence — that’s Elicit’s job; and it does not classify citation intent (support/contrast) — that’s Scite’s job.
2. Core Features
Layer Capability Notes Seed-based discovery Similar Work / Earlier / Later / Citations / References / Authors from 1+ seed papers The core “rabbit hole” loop; six expansion modes Citation graph Interactive node-edge map, colour-coded (green=in collection, blue=recommended, shading=metadata depth) Axes: publication year, citation count, reference count (configurable post-2025 revamp) Adaptive recommendations Suggested Papers improves as collection grows; semantic similarity (SPECTER-like title/abstract embeddings post-Litmaps merger) “Spotify for papers” metaphor; learns actual research direction Collections Persistent folders, notes per paper, filters, multi-collection organisation, share (read-only / can-add) Core unit of work; replaced the older Seeds/Input Sets model (Oct 30 2025 update) Author networks These Authors / Suggested Authors / Published Work → co-authorship graph Surfaces research groups and potential collaborators Alerts & Signals Weekly new-paper recommendations, topic/collection monitoring, integrity monitoring RR+ for advanced Signals Integrations & export Zotero (linked import + export), Mendeley/Paperpile/EndNote via BibTeX, RIS, CSV; no public REST API / no LibKey on Free LibKey + usage stats on Institution tier only Search controls Journal filter, Open Access only, Retractions flag, H-index, date range (advanced filters = RR+) Free = core settings only 3. Pricing (2026-08, USD)
Tier Price Seed cap Key limits Notes Free Forever $0 50 seeds Unlimited searches across 310M+ papers; unlimited library & collections; collection sharing; core search; Zotero + BibTeX/RIS/CSV export Unusually capable free tier — most students never upgrade ResearchRabbit+ (annual) $10/mo ($120/yr) 300 seeds Advanced filters (journal/OA/retraction/H-index/date), multiple projects, Signals alerts, faster support Most popular; country-parity (PPP) discounts in 100+ countries, shown only at checkout ResearchRabbit+ (monthly) $12.50/mo 300 seeds Same RR+ features, no annual commit For month-to-month evaluation Institution Custom (sales) Not public Volume licensing, LibKey integration, user admin, usage statistics, dedicated support Governance purchase, not a different algorithm pricing_type=subscription-freemium;starting_price=$0; Free is permanent (not a trial) — a genuine differentiator vs Connected Papers’ 5-graph/mo cap. RR+ buying decision is driven by search complexity and seed count, not paper count.4. Access Type
Field Value access_type web-only-no-desktop-no-mobile-app-no-public-api access_display 🌐 researchrabbit.ai (browser) · Zotero connector · shared collection links · no offline desktop client · no iOS/Android native app · no self-serve REST API (LibKey on Institution only) 5. Reviews (2026)
Source Rating Sample Signal Official site / academic testimonials qualitative endocrinologists, PhDs, librarians Universally positive on visual discovery + Zotero fit; selection-bias (vendor-curated) G2 ~4.x/5 only 1 verified review Independent commercial validation is thin — academic word-of-mouth growth, not B2B review-channel typical ToolRadar / editorial positive 2026-08 Praises full-featured permanent free tier + PPP pricing equity; flags goodwill erosion post-2025 UI + Q3 2026 paywall Texas A&M / SMU / AFTRS libguides recommended — “Use after structured database search, not as replacement for systematic searching in discipline DBs” Verdict — what works: permanent free tier genuinely full-featured; PPP-adjusted RR+ pricing is unusually equity-minded; Zotero-native + persistent collection workflow matches real months-long research; 1M+ adoption is independently notable for an academic tool. What to watch: measurable community goodwill erosion since the 2025 UI redesign and Q3 2026 paywall (after years fully free); coverage inherits Semantic Scholar’s gaps in humanities + non-English literature; visualisation gets genuinely busy on very large collections; no G2/Capterra robust sample (single verified review); no citation-polarity (Scite) or evidence synthesis (Elicit).
6. Best For / Not For
Best For Not For Grad students / PhDs building a thesis bibliography from a small seed set Humanities or non-English-language research (documented coverage blind spots) Early-career academics mapping an unfamiliar field visually Researchers needing AI-generated synthesis / structured data extraction across studies (→ Elicit) STEM / medical / biomedical researchers (PubMed/Semantic Scholar rich) Formal PRISMA-compliant systematic reviews (→ Rayyan, Deduklick) Sustained literature reviews where collections grow over months Users expecting citation intent = support/contrast (→ Scite) Small teams / labs sharing reading lists (shared collections) Those needing PDF annotation / notes / citation formatting inside the tool Researchers already on Zotero Buyers needing a public API or desktop/offline client 7. Competitors (Lane Map)
Lane Tool Starts ResearchRabbit’s edge / gap Visual citation mapping (closest) Connected Papers Free 5 graphs/mo; Academic $6/mo; Business $20/mo (annual) Connected Papers = fast one-shot neighbourhood from one paper; RR = persistent, iterative, multi-seed workspace Monitoring + configurable maps Litmaps (now parent co.) ~$10/mo annual Litmaps stronger alerts + mature map controls; post-merger algorithm convergence expected Citation-intent / verification Scite.ai Free browse; Basic $20/mo Scite classifies support/contrast; RR has no polarity analysis Evidence synthesis / extraction Elicit ~$49/mo Elicit extracts structured data across studies; RR only discovers + maps Free discovery / influence Semantic Scholar $0 S2 = broader semantic search + high-influence cites; no intent graph Systematic review screening Rayyan freemium PRISMA/dedup/screening purpose-built; RR complementary Deep research agent Perplexity, ChatGPT Deep Research $20/mo Broader web + synthesis; not citation-graph-grounded Citation graph (legacy) Google Scholar / Web of Science / Scopus paid Gold standard for systematic/bibliometric work; RR supplements, never replaces