# ResearchRabbit

Selon la télémétrie OpenAITools.app vérifiée le 2026-11-11, ResearchRabbit (researchrabbit.ai) est une plateforme d'IA indexée sous Outil de recherche IA générant 831,57 k visites mensuelles avec un delta de trafic mensuel de +25,19 k (+3,1 %). Son marché géographique principal est États-Unis (14,7 % de part de trafic), et elle fonctionne selon un modèle tarifaire Gratuit. Les principales alternatives concurrentes par volume mensuel incluent Connected Papers (750,58 k visites/mois), Open Knowledge Maps (83,43 k visites/mois), Semantic Scholar (8,2 M visites/mois).

ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.

## Télémétrie et spécifications clés

| Métrique | Valeur |
| :--- | :--- |
| Nom de l'outil | ResearchRabbit |
| Identifiant | researchrabbit |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Domaine officiel | researchrabbit.ai |
| URL du site web | https://www.researchrabbit.ai |
| Catégories | Outil de recherche IA, Outils IA pour articles de recherche, Assistant IA, Gestion des connaissances IA |
| Modèle tarifaire | Gratuit |
| Visites mensuelles | 831 571 |
| Variation du trafic mensuel | 25 192 |
| Taux de croissance mensuel | +3,1 % |
| Marché principal | États-Unis |
| Part de marché | 14,7 % |
| Visites directes | 372 949 |
| Visites de recherche organique | — |
| Visites sociales | — |
| Visites par référencement | 34 052 |
| Visites par e-mail | 6 565 |
| Score d'avis | 4,5 |
| Nombre d'enregistrements | 16 |
| Plateformes prises en charge | Site web |
| Plateformes de facturation |  |
| Attributs | Tarification: Gratuit; Fonctionnalités: Site web |
| Étiquettes | Revue de littérature, Découverte de recherche, Analyse des citations, Recherche académique, Recherche assistée par IA, Collaboration de recherche, Visualisation d'articles, recherche scientifique |

## Aperçu

ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.

## Tarifs et offres

Free. ResearchRabbit is free to sign up and use for literature discovery and mapping, with no paid consumer plans advertised on its site. Recommendations run on publicly available scholarly metadata covering over 320 million papers.

## Fonctionnalités clés et capacités

- **Visual Paper Mapping:** Start from one paper and see how research connects through a visual map of related works, authors and citations.
- **Recommendation Engine:** The more you explore and select, the better it learns your interests, surfacing smarter and more relevant recommendations.
- **Literature Review Discovery:** Explore how your existing review connects and discover papers you may have missed, avoiding endless flat article lists.
- **Reference Manager Integration:** Bring your reference library and ResearchRabbit together so your collection and discovery work in one place.
- **Author & Topic Tracking:** Follow new works, emerging authors and trending topics as your research field evolves.

## Cas d'usage principaux

- **Build a literature review faster (Graduate Student):** Turn a handful of key papers into a visual map of the field, spot central authors and identify gaps worth exploring.
- **Discover related work you've missed (Academic Researcher):** Chase citations and co-authors iteratively to see how subfields connect and which work is foundational.
- **Guide students through a field (Librarian / Research Support):** Explore how a review connects to a broader body of work, then surface the papers students should read next.
- **Track an evolving research area (Lecturer / Writer):** Follow emerging authors and topics, and keep a living map of the literature as it evolves alongside your writing.

## Forces

- Completely free to sign up and use
- Visual, iterative maps beat long flat article lists for exploring a field
- Learn-as-you-go recommendations improve with use
- Integrates with your existing reference library
- Broad coverage—over 320 million academic papers, used by 1M+ researchers

## Limites

- It surfaces and maps papers rather than reading them for you—no automatic summarisation of full texts
- No built-in full-text access; you still need your library or publisher access to read the papers
- Deeper use benefits from connecting a reference manager, which adds a setup step
- Some advanced collaboration and sharing features sit behind institutional or optional arrangements
- Recommendation quality improves only as you keep exploring and curating seeds

## Questions fréquentes

### Is ResearchRabbit really free?
ResearchRabbit is free to use. You can sign up and start mapping literature at no cost—there are no paid consumer plans advertised on the site.

### How do I start a literature map?
Add a seed paper you already know and love. ResearchRabbit analyses its bibliography, citations and co-authors to recommend related work, then builds a visual map as you save and explore papers.

### Can I use it with my reference manager?
Yes. You can connect a reference library so ResearchRabbit and your existing collection work together, letting you explore how your literature review connects.

### What data does it cover and who uses it?
It is an academic search and discovery service covering access to over 320 million academic papers, and it is used by more than a million researchers and thousands of institutions worldwide, including universities such as Harvard, Stanford and Cornell.

### How does the recommendation engine work?
It analyses bibliographies, citations and co-authorship to find related articles, then learns your interests as you select new papers, so recommendations get more relevant with use.

### Quel est le trafic mensuel et la tendance de croissance de ResearchRabbit ?
ResearchRabbit reçoit actuellement 831,57 k visites mensuelles, avec une variation de trafic mensuelle de +25,19 k (taux de croissance de +3,1 %). Son marché source principal est États-Unis (14,7 % de part), dont 372,95 k visites directes/mois et — visites de recherche organique/mois.

### ResearchRabbit est-il gratuit ? Quel est son modèle tarifaire ?
ResearchRabbit fonctionne selon un modèle tarifaire Gratuit. Free. ResearchRabbit is free to sign up and use for literature discovery and mapping, with no paid consumer plans advertised on its site. Recommendations run on publicly available scholarly metadata covering over 320 million papers. Les plateformes de facturation et de paiement prises en charge incluent : non répertorié.

### Quelles sont les meilleures alternatives à ResearchRabbit en 2026 ?
Sur la base du trafic de catégorie et de l'adéquation des fonctionnalités sur OpenAITools.app, les cinq principales alternatives à ResearchRabbit sont : 1. Connected Papers (750,58 k visites/mois); 2. Open Knowledge Maps (83,43 k visites/mois); 3. Semantic Scholar (8,2 M visites/mois); 4. Consensus (6,01 M visites/mois); 5. Elicit (1,75 M visites/mois).

### Quelles plateformes et capacités d'IA principales ResearchRabbit prend-il en charge ?
ResearchRabbit est classé sous Outil de recherche IA, Outils IA pour articles de recherche, Assistant IA, Gestion des connaissances IA, prend en charge les plateformes suivantes : Site web, et ses étiquettes de capacités principales incluent : Revue de littérature, Découverte de recherche, Analyse des citations, Recherche académique, Recherche assistée par IA, Collaboration de recherche.

## Alternatives

| Nom de l'outil | Visites mensuelles | Modèle tarifaire | Comparer |
| :--- | :--- | :--- | :--- |
| [Connected Papers](https://openaitools.app/fr/tool/connected-papers) | 750 576 | Freemium | [Comparer](https://openaitools.app/fr/compare/connected-papers-vs-researchrabbit) |
| [Open Knowledge Maps](https://openaitools.app/fr/tool/openknowledgemaps-org) | 83 432 | Gratuit | [Comparer](https://openaitools.app/fr/compare/openknowledgemaps-org-vs-researchrabbit) |
| [Semantic Scholar](https://openaitools.app/fr/tool/semantic-scholar) | 8 198 672 | Gratuit | [Comparer](https://openaitools.app/fr/compare/researchrabbit-vs-semantic-scholar) |
| [Consensus](https://openaitools.app/fr/tool/consensus) | 6 014 388 | Freemium | [Comparer](https://openaitools.app/fr/compare/consensus-vs-researchrabbit) |
| [Elicit](https://openaitools.app/fr/tool/elicit) | 1 751 507 | Freemium | [Comparer](https://openaitools.app/fr/compare/elicit-vs-researchrabbit) |
| [Scite](https://openaitools.app/fr/tool/scite) | 841 974 | Essai gratuit, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/researchrabbit-vs-scite) |
| [SciSpace](https://openaitools.app/fr/tool/scispace) | 4 464 111 | Freemium | [Comparer](https://openaitools.app/fr/compare/researchrabbit-vs-scispace) |
| [Paperguide](https://openaitools.app/fr/tool/paperguide) | 371 972 | Freemium | [Comparer](https://openaitools.app/fr/compare/paperguide-vs-researchrabbit) |
| [Rayyan](https://openaitools.app/fr/tool/rayyan) | 1 116 437 | Freemium | [Comparer](https://openaitools.app/fr/compare/rayyan-vs-researchrabbit) |
| [Jenni](https://openaitools.app/fr/tool/jenni) | 1 498 133 | Freemium | [Comparer](https://openaitools.app/fr/compare/jenni-vs-researchrabbit) |
| [Scholarcy](https://openaitools.app/fr/tool/scholarcy) | 195 058 | Freemium | [Comparer](https://openaitools.app/fr/compare/researchrabbit-vs-scholarcy) |
| [TXYZ](https://openaitools.app/fr/tool/txyz-ai) | 4 439 | Freemium | [Comparer](https://openaitools.app/fr/compare/researchrabbit-vs-txyz-ai) |

---
Source : https://openaitools.app/fr/tool/researchrabbit