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ResearchRabbit

ResearchRabbit discovers and organizes academic papers using AI, offering visualizations, curated collections, and research updates.
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ResearchRabbit

What is ResearchRabbit?

ResearchRabbit is an AI-powered research app designed to simplify the process of discovering and organizing academic papers. This tool enables users to effortlessly explore interactive visualizations, curate collections of relevant papers, identify new authors, and receive updates on the latest research in their areas of interest. ResearchRabbit aims to streamline academic research and enhance the accessibility of scholarly content for users .

Who created ResearchRabbit?

Researchrabbit was created by Mike Ma, who has a background as a former investigative researcher in finance dedicated to fighting against unethical practices. The company's aim is to empower users through an AI-powered research app that simplifies the discovery and organization of academic papers .

What is ResearchRabbit used for?

  • Discovering and organizing academic papers
  • Viewing interactive visualizations
  • Creating collections of relevant papers
  • Discovering new authors
  • Staying up-to-date with digests of new research

Who is ResearchRabbit for?

  • Software Engineer
  • Immunobiologist
  • Investigative researcher in finance
  • Software engineers
  • Immunobiologists
  • Finance Researchers

How to use ResearchRabbit?

To use ResearchRabbit, follow these steps:

  1. Sign Up: Create an account on ResearchRabbit's website using your email address.
  2. Set Preferences: Customize your profile by specifying your research interests, preferred topics, and academic fields.
  3. Explore Papers: Use the AI-powered search feature to discover academic papers related to your interests.
  4. Save Papers: Save relevant papers to your collection for future reference.
  5. Organize: Create folders or categories to organize your saved papers effectively.
  6. Interact with Visualizations: Utilize interactive visualizations to grasp key insights from research papers.
  7. Discover New Authors: Stay updated with new authors in your field by exploring the recommended authors section.
  8. Stay Informed: Receive digests of new research that aligns with your interests to stay informed.
  9. Collaborate: Collaborate with peers by sharing papers and collections within the platform.
  10. Stay Engaged: Regularly check for updates on new research and trending topics in your area of study.

By following these steps, you can effectively leverage ResearchRabbit to streamline your academic research process and stay informed about the latest developments in your field.

ResearchRabbit FAQs

How does ResearchRabbit work?
ResearchRabbit is an AI-powered research app that simplifies discovering and organizing academic papers. It allows users to view interactive visualizations and create collections of relevant papers to explore new authors and stay updated with research in their fields of interest.
What features does ResearchRabbit offer?
ResearchRabbit offers intuitive exploration, personalized recommendations, powerful visualizations, discover authors, non-spammy alerts, sharing and collaboration, and Zotero integration. It also provides personalized digests of the latest papers related to user collections.
Is ResearchRabbit free to use?
Yes, ResearchRabbit is free forever for researchers.
How can ResearchRabbit benefit researchers?
ResearchRabbit saves time by suggesting papers earlier and later than those already in the user's list. The similar papers function helps find relevant work efficiently, and the app clusters papers by relationship and timeline, creating a fantastic feature for organizing research.
Can users collaborate on ResearchRabbit?
Yes, users can collaborate on collections and help kickstart others' search processes on ResearchRabbit. They can also leave comments on papers.
What do users think about ResearchRabbit?
Users are happy with ResearchRabbit's ease of use and time-saving features. They appreciate the app's ability to suggest influential papers quickly and its innovative clustering of papers by relationship and timeline.

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