# ResearchRabbit

2026-11-11에 검증된 OpenAITools.app 텔레메트리에 따르면, ResearchRabbit(researchrabbit.ai)은(는) AI 리서치 도구에 색인된 AI 플랫폼으로 월 83.16만회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 +2.52만(+3.1%)입니다. 주요 지리적 시장은 미국(트래픽 점유율 14.7%)이며, 무료 가격 모델로 운영됩니다. 월간 트래픽 기준 주요 경쟁 대안으로는 Connected Papers (월 75.06만회 방문), Open Knowledge Maps (월 8.34만회 방문), Semantic Scholar (월 819.87만회 방문) 등이 있습니다.

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.

## 주요 텔레메트리 및 사양

| 지표 | 값 |
| :--- | :--- |
| 도구 이름 | ResearchRabbit |
| 핸들 | researchrabbit |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 공식 도메인 | researchrabbit.ai |
| 웹사이트 URL | https://www.researchrabbit.ai |
| 카테고리 | AI 리서치 도구, AI 연구 논문 도구, AI 어시스턴트, AI 지식 관리 |
| 가격 모델 | 무료 |
| 월간 방문 수 | 831,571 |
| 전월 대비 트래픽 변화 | 25,192 |
| 전월 대비 성장률 | +3.1% |
| 주요 시장 | 미국 |
| 시장 점유율 | 14.7% |
| 직접 방문 | 372,949 |
| 자연 검색 방문 | — |
| 소셜 방문 | — |
| 추천 방문 | 34,052 |
| 이메일 방문 | 6,565 |
| 리뷰 점수 | 4.5 |
| 저장 수 | 16 |
| 지원 플랫폼 | 웹사이트 |
| 결제 플랫폼 |  |
| 속성 | 가격: 무료; 기능: 웹사이트 |
| 태그 | 문헌 검토, 연구 탐색, 인용 분석, 학술 연구, AI 기반 리서치, 연구 협업, 논문 시각화, 과학 연구 |

## 개요

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.

## 가격 및 요금제

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.

## 주요 기능 및 역량

- **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.

## 주요 활용 사례

- **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.

## 강점

- 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

## 한계

- 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

## 자주 묻는 질문

### 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.

### ResearchRabbit의 월간 트래픽과 성장 추세는 어떠한가요?
ResearchRabbit은(는) 현재 월 83.16만회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 +2.52만(성장률 +3.1%)입니다. 주요 유입 시장은 미국(점유율 14.7%)이며, 여기에는 월 직접 방문 37.29만회와 월 자연 검색 방문 —회가 포함됩니다.

### ResearchRabbit은(는) 무료인가요? 가격 모델은 무엇인가요?
ResearchRabbit은(는) 무료 가격 모델로 운영됩니다. 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. 지원되는 결제 및 체크아웃 플랫폼에는 등록되지 않음 등이 있습니다.

### 2026년 최고의 ResearchRabbit 대안은 무엇인가요?
OpenAITools.app의 카테고리 트래픽과 기능 적합도를 기준으로 할 때 ResearchRabbit의 상위 5개 대안은 다음과 같습니다: 1. Connected Papers (월 75.06만회 방문); 2. Open Knowledge Maps (월 8.34만회 방문); 3. Semantic Scholar (월 819.87만회 방문); 4. Consensus (월 601.44만회 방문); 5. Elicit (월 175.15만회 방문).

### ResearchRabbit은(는) 어떤 플랫폼과 핵심 AI 역량을 지원하나요?
ResearchRabbit은(는) AI 리서치 도구, AI 연구 논문 도구, AI 어시스턴트, AI 지식 관리으로 분류되며 다음 플랫폼을 지원합니다: 웹사이트. 핵심 역량 태그에는 문헌 검토, 연구 탐색, 인용 분석, 학술 연구, AI 기반 리서치, 연구 협업 등이 있습니다.

## 대안

| 도구 이름 | 월간 방문 수 | 가격 모델 | 비교 |
| :--- | :--- | :--- | :--- |
| [Connected Papers](https://openaitools.app/ko/tool/connected-papers) | 750,576 | 무료+유료 | [비교](https://openaitools.app/ko/compare/connected-papers-vs-researchrabbit) |
| [Open Knowledge Maps](https://openaitools.app/ko/tool/openknowledgemaps-org) | 83,432 | 무료 | [비교](https://openaitools.app/ko/compare/openknowledgemaps-org-vs-researchrabbit) |
| [Semantic Scholar](https://openaitools.app/ko/tool/semantic-scholar) | 8,198,672 | 무료 | [비교](https://openaitools.app/ko/compare/researchrabbit-vs-semantic-scholar) |
| [Consensus](https://openaitools.app/ko/tool/consensus) | 6,014,388 | 무료+유료 | [비교](https://openaitools.app/ko/compare/consensus-vs-researchrabbit) |
| [Elicit](https://openaitools.app/ko/tool/elicit) | 1,751,507 | 무료+유료 | [비교](https://openaitools.app/ko/compare/elicit-vs-researchrabbit) |
| [Scite](https://openaitools.app/ko/tool/scite) | 841,974 | 무료 체험, 가격 문의 | [비교](https://openaitools.app/ko/compare/researchrabbit-vs-scite) |
| [SciSpace](https://openaitools.app/ko/tool/scispace) | 4,464,111 | 무료+유료 | [비교](https://openaitools.app/ko/compare/researchrabbit-vs-scispace) |
| [Paperguide](https://openaitools.app/ko/tool/paperguide) | 371,972 | 무료+유료 | [비교](https://openaitools.app/ko/compare/paperguide-vs-researchrabbit) |
| [Rayyan](https://openaitools.app/ko/tool/rayyan) | 1,116,437 | 무료+유료 | [비교](https://openaitools.app/ko/compare/rayyan-vs-researchrabbit) |
| [Jenni](https://openaitools.app/ko/tool/jenni) | 1,498,133 | 무료+유료 | [비교](https://openaitools.app/ko/compare/jenni-vs-researchrabbit) |
| [Scholarcy](https://openaitools.app/ko/tool/scholarcy) | 195,058 | 무료+유료 | [비교](https://openaitools.app/ko/compare/researchrabbit-vs-scholarcy) |
| [TXYZ](https://openaitools.app/ko/tool/txyz-ai) | 4,439 | 무료+유료 | [비교](https://openaitools.app/ko/compare/researchrabbit-vs-txyz-ai) |

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출처: https://openaitools.app/ko/tool/researchrabbit