Research Rabbit
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
Who is it good for?
- Academic Researchers
- Graduate Students
- Postdoctoral Scholars
- Research Librarians
- Systematic Review Authors
Details & Features
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Made By
Research Rabbit -
Released On
ResearchRabbit is an AI-powered scholarly publication discovery tool designed to support researchers in their unstructured searches. This web-based application allows users to discover publications related to one or more seed publications through visualization maps and lists of earlier, later, and similar publications, providing a left-to-right trail from the original publication(s) through any selected authors or publications.
Key features:
- Visualization Maps: Presents publication recommendations in two modes - Network View (displaying interconnected publications) and Timeline View (plotting publications by year).
- Unstructured Searching Workflow: Supports exploration starting from a seed publication, allowing users to navigate through related authors and citations.
- Publication Recommendations: Offers suggestions based on citations and AI algorithms, including similar work, earlier work, later work, authors, and suggested authors.
- Collaboration Networks: Depicts networks of collaborating authors through visualization maps.
- User Interface: Generally navigable by keyboard and screen reader, with some limitations due to information density.
- Cost and Availability: All features are free to use and accessible via a web browser.
How it works:
1. Create an account on ResearchRabbit.
2. Create a collection within the account.
3. Add at least one publication to the collection by uploading a RIS or BibTeX file or using ResearchRabbit's search function.
4. Explore recommendations generated based on the contents of the collection.
Integrations:
PubMed, Semantic Scholar, Zotero
Use of AI:
ResearchRabbit employs AI algorithms to generate publication recommendations based on the user's collection and interests.
Target users:
- Researchers conducting unstructured publication searches
- Users working on knowledge synthesis projects seeking supplementary searching tools
How to access:
ResearchRabbit is available as a web application, accessible through standard web browsers without the need for additional software installation.
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Supported ecosystemsMendeley, Zotero, EndNote, PubMed, Semantic Scholar, Zotero
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What does it do?Research Discovery, Publication Search, Collaboration Networks, Visualization, Unstructured Searching
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Who is it good for?Academic Researchers, Graduate Students, Postdoctoral Scholars, Research Librarians, Systematic Review Authors