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ResearchRabbit logo

ResearchRabbit

A research tool that helps academics discover relevant papers, authors, and topics by building "collections" and visualizing connections.

Price: Free

Categories:AI Article SummarizersAI Data Analysis ToolsAI Data Mining ToolsAI Data Visualization ToolsAI Mind Mapping Tools
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Description
ResearchRabbit is a literature discovery tool designed for researchers, students, and academics to find relevant scholarly articles and authors more efficiently. Users start by inputting a few papers they find interesting, and the platform then uses a citation-based recommendation system to suggest related papers, authors, and topics. It helps visualize the interconnectedness of research, making it easier to identify key works, influential researchers, and emerging themes. Its main use cases include literature reviews, staying updated on new research, finding collaborators, and exploring new sub-fields. ResearchRabbit stands out by offering a highly visual and interactive way to navigate academic literature, moving beyond traditional keyword searches.

ResearchRabbit screenshot 1
How to Use
1.Go to researchrabbit.ai and sign up for a free account.
2.Start a new "collection" and add 1-5 papers that are central to your research interest.
3.Click "Similar Papers" or "Authors" to see recommendations generated by the AI.
4.Explore the visual network of papers and authors, adding relevant ones to your collection.
5.Export your collected papers' metadata to reference managers like Zotero or Mendeley.
Use Cases
Literature reviewAcademic researchDiscovering new papersFinding influential authorsExploring research trendsBuilding bibliographiesStaying updated on research
Pros & Cons

Pros

  • Highly intuitive and visual interface for literature discovery.
  • Efficiently identifies related papers and influential authors.
  • Excellent for building comprehensive literature reviews.
  • Integrates with popular reference management tools.
  • Currently free to use.

Cons

  • Relies on existing databases, so newer or niche papers might be less represented.
  • Can sometimes lead to an overwhelming number of recommendations.
  • Lacks advanced filtering options found in dedicated bibliographic databases.
FAQs

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