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What does it do?

  • Research Discovery
  • Publication Search
  • Collaboration Networks
  • Visualization
  • Unstructured Searching

How is it used?

  • Web app for discovering scholarly publications via visual maps.
  • 1. Create account & collection
  • 2. Add publication
  • 3. Explore recommendations
  • 4. Use keyboard & screen reader
See more

Who is it good for?

  • Academic Researchers
  • Graduate Students
  • Postdoctoral Scholars
  • Research Librarians
  • Systematic Review Authors

Details & Features

  • Made By

    Research Rabbit
  • Released On

ResearchRabbit is an AI-powered scholarly publication discovery tool that assists researchers in conducting unstructured searches. Developed in 2021 by a team based in Seattle, ResearchRabbit enables users to find publications related to one or more seed publications through visualization maps and lists of earlier, later, and similar works.

Key features:
- Visualization maps: Presents publication recommendations in network view (displaying connected publications) and timeline view (plotting publications by year)
- Unstructured searching workflow: Supports exploration starting from a seed publication, allowing users to explore related authors and citations, creating a linear trail for wayfinding
- Publication recommendations: Provides recommendations based on citations and AI algorithms, allowing users to explore by papers (similar, earlier, or later work) or by people (authors and suggested authors)
- Collaboration networks: Depicts networks of collaborating authors through visualization maps
- User interface: Generally navigable by keyboard and with the aid of a screen reader, although some navigation challenges exist due to the high volume of condensed information

How it works:
Users create an account and a collection, adding at least one publication either by uploading a RIS or BibTeX file or by using ResearchRabbit's search, which is powered by PubMed for medical sciences and Semantic Scholar for other subject areas. The more publications added, the better ResearchRabbit can understand users' interests and generate relevant recommendations.

Integrations:
- PubMed and Semantic Scholar for search functionality
- Zotero integration

Use of AI:
ResearchRabbit employs AI algorithms to generate publication recommendations.

AI foundation model:
The specific AI foundation model or LLM used is not explicitly mentioned in the provided sources.

How to access:
ResearchRabbit is available as a web app, and all features are free to use. It is accessible via a web browser without the need for additional software.

  • Supported ecosystems
    Mendeley, Zotero, EndNote, PubMed, Semantic Scholar, Zotero
  • What does it do?
    Research Discovery, Publication Search, Collaboration Networks, Visualization, Unstructured Searching
  • Who is it good for?
    Academic Researchers, Graduate Students, Postdoctoral Scholars, Research Librarians, Systematic Review Authors

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