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Research Rabbit is an AI-powered tool that helps researchers find, organize, and explore academic literature. It streamlines the research process by visualizing connections between scholarly papers, analyzing citations, and recommending related works. This makes it especially valuable for researchers tackling complex topics or entering new fields of study.

Key Features

  • Visual Literature Mapping: Generates network graphs to highlight relationships between papers and authors, revealing key connections and influential works.
  • Citation-Based Recommendations: Suggests relevant papers using a “seed paper” concept for efficient literature exploration.
  • Author Networks: Maps connections between authors to identify prominent contributors in a field.
  • Paper Collections: Lets users organize and share collections of papers for collaboration.
  • Integration: Works with tools like Zotero for easy reference management and importing collections.

Advantages

  • User-friendly, visual interface for exploring literature.
  • Personalized paper recommendations tailored to individual preferences.
  • Free access for researchers.

Limitations

  • Utilizes an outdated Microsoft Academic Graph database (last updated in 2021).
  • Fewer advanced comprehension features compared to competitors like SciSpace.

Research Rabbit is ideal for researchers aiming to save time and uncover hidden connections in academic literature. However, its reliance on older data sources may affect its relevance in rapidly evolving fields.