# OpenRead vs ResearchRabbit OpenRead は月間 27,098 訪問、前月比成長率 -51.6%、料金体系フリーミアム、有料、料金は要問い合わせを記録しています。ResearchRabbit は月間 831,571 訪問、成長率 +3.1%、料金体系無料を記録しています。 | 指標 | [OpenRead](https://openaitools.app/ja/tool/openread) | [ResearchRabbit](https://openaitools.app/ja/tool/researchrabbit) | | :--- | :--- | :--- | | ウェブサイト URL | https://www.openread.academy | https://www.researchrabbit.ai | | カテゴリ | AIリサーチツール, AI 研究論文ツール, AI PDF 要約ツール, AI 要約ツール | AIリサーチツール, AI 研究論文ツール, AIアシスタント, AI ナレッジマネジメント | | 料金モデル | フリーミアム、有料、料金は要問い合わせ | 無料 | | 月間訪問数 | 27,098 | 831,571 | | 前月比成長率 | -51.6% | +3.1% | | 主要市場 | インドネシア | アメリカ合衆国 | | ダイレクト訪問 | 7,067 | 372,949 | | レビュースコア | 4.3 | 4.5 | | 保存数 | 7 | 16 | | 対応プラットフォーム | ウェブサイト | ウェブサイト | ## OpenRead OpenRead is an AI research platform that lets you search across a huge corpus of scholarly papers, ask questions of individual documents or whole collections, compare findings, and keep notes in one connected workspace. **料金とプラン:** OpenRead uses a freemium model: a free tier for core search and reading, plus a Pro subscription that unlocks higher limits and advanced AI features. Contact the team for institutional or enterprise arrangements. - **Semantic paper search:** Search a corpus of hundreds of millions of papers by meaning, with new content indexed continuously from thousands of journals. - **Paper Q&A and Compare:** Ask questions of any paper and place multiple studies side by side to spot agreements, contradictions and the bigger picture. - **Related paper graph:** A visual graph maps how papers and concepts connect, helping you find adjacent work you would otherwise miss. - **Uploads, notes and workspace:** Upload your own PDFs, capture reading notes, and organize everything in a single research workspace. - **Multi-model AI tools:** Access top-tier models for chat, diagram drawing and image editing, with new models added as they ship. **強み:** Very large indexed corpus with continuously refreshed papers; Synthesis tools (Compare, Graph) go beyond basic summarization; Combines external literature search with your own uploads; Multi-model chat for tasks like diagrams and images **制約・デメリット:** Advanced features and higher limits sit behind the Pro plan; A very broad feature set can take time to learn; Multi-model chat is a general assistant aid rather than a peer-review tool; No indication of full offline or self-hosted use [Profile (Markdown)](https://openaitools.app/ja/tool/openread.md) ## ResearchRabbit 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. **料金とプラン:** 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. - **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. **強み:** 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 **制約・デメリット:** 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 [Profile (Markdown)](https://openaitools.app/ja/tool/researchrabbit.md) ## よくある質問 ### OpenRead と ResearchRabbit の月間トラフィックはどのように比較されますか？ OpenRead の月間訪問数は 27,098、ResearchRabbit は 831,571 です。トラフィックの推定値はオーディエンスの規模を示すものであり、製品の品質を示すものではありません。 ### 成長率はどのように比較されますか？ OpenRead の前月比成長率は -51.6%、ResearchRabbit は +3.1% です。 ### 料金はどのように比較されますか？ OpenRead: フリーミアム、有料、料金は要問い合わせ。OpenRead uses a freemium model: a free tier for core search and reading, plus a Pro subscription that unlocks higher limits and advanced AI features. Contact the team for institutional or enterprise arrangements. ResearchRabbit: 無料。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. ## 代替ツール | # | ツール名 | 月間訪問数 | 前月比成長率 | 料金モデル | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Semantic Scholar](https://openaitools.app/ja/tool/semantic-scholar) | 8,198,672 | +5.8% | 無料 | 強力な引用グラフを備えた包括的な学術検索エンジンを提供しますが、ResearchRabbitのようなビジュアルコレクションのマッピングインターフェースはありません。 | [.md](https://openaitools.app/ja/tool/semantic-scholar.md) | | 2 | [Consensus](https://openaitools.app/ja/tool/consensus) | 6,014,388 | -1.2% | フリーミアム | AIを使用して査読済み研究から直接回答を合成しますが、インタラクティブな引用ネットワークマップは提供しません。 | [.md](https://openaitools.app/ja/tool/consensus.md) | | 3 | [SciSpace](https://openaitools.app/ja/tool/scispace) | 4,464,111 | +8.6% | フリーミアム | Provides an all-in-one workspace for reading and explaining scientific papers, but lacks interactive citation network graphs. | [.md](https://openaitools.app/ja/tool/scispace.md) | | 4 | [Elicit](https://openaitools.app/ja/tool/elicit) | 1,751,507 | +3.1% | フリーミアム | システマティック・リテラチャー・レビューやエビデンス抽出を深く自動化しますが、ResearchRabbitは視覚的な探索と論文の発見を中心に据えています。 | [.md](https://openaitools.app/ja/tool/elicit.md) | | 5 | [Jenni](https://openaitools.app/ja/tool/jenni) | 1,498,133 | +5.2% | フリーミアム | Focuses on AI-assisted academic writing and drafting with inline citations rather than exploratory citation mapping. | [.md](https://openaitools.app/ja/tool/jenni.md) | | 6 | [Rayyan](https://openaitools.app/ja/tool/rayyan) | 1,116,437 | +7.9% | フリーミアム | Excels at collaborative systematic review screening and deduplication, but offers less visual exploration than ResearchRabbit. | [.md](https://openaitools.app/ja/tool/rayyan.md) | | 7 | [ChatPDF](https://openaitools.app/ja/tool/chatpdf) | 1,044,477 | -3.7% | フリーミアム | PDF・動画・Webサイトと対話し、引用付きの回答を数秒で取得 | [.md](https://openaitools.app/ja/tool/chatpdf.md) | | 8 | [Scite](https://openaitools.app/ja/tool/scite) | 841,974 | +1.1% | 無料トライアル、料金は要問い合わせ | スマート引用で論文の引用状況を追跡し、ResearchRabbitのグラフィカルなマッピングよりも深い引用コンテキストを提供します。 | [.md](https://openaitools.app/ja/tool/scite.md) | | 9 | [Connected Papers](https://openaitools.app/ja/tool/connected-papers) | 750,576 | +3.1% | フリーミアム | 関連論文の視覚的グラフは似ていますが、カスタマイズ可能なコレクションよりも類似性ツリーに重点を置いています。 | [.md](https://openaitools.app/ja/tool/connected-papers.md) | | 10 | [Paperguide](https://openaitools.app/ja/tool/paperguide) | 371,972 | -2.9% | フリーミアム | Streamlines literature searches and reference management with built-in AI tools, trading visual mapping for structured workflows. | [.md](https://openaitools.app/ja/tool/paperguide.md) | --- 出典: https://openaitools.app/ja/compare/openread-vs-researchrabbit More Markdown: [カテゴリ](https://openaitools.app/ja/categories.md) · [トラフィックランキング](https://openaitools.app/ja/rankings.md) · [llms.txt](https://openaitools.app/ja/llms.txt)