Connected Papers is an innovative literature mapping tool designed for researchers and applied scientists. By entering a seed paper or keyword, users can generate a visual graph that connects similar papers based on their concepts, rather than just citations. This tool provides a broader overview of academic fields, helping users discover relevant papers efficiently for their research or review work.
Connected Papers Core Features
Visual graph generation
Seed paper input
Co-citation and bibliographic coupling analysis
Semantic Scholar database integration
Connected Papers Pro & Cons
The Cons
Not an AI tool or AI agent, thus limited to specific research use cases
May require subscription for full features
Dependent on availability of citation data
Limited integrations with other research management tools
The Pros
Innovative visual graph for exploring academic papers
Facilitates discovery of relevant research beyond keyword search
Helps trace the evolution of ideas and citation networks
User-friendly interface for academic literature exploration
ResearchRabbit is an innovative AI-based platform aimed at researchers seeking to discover pertinent academic papers effortlessly. Users can input a few key papers, and the tool generates a network of recommended papers based on citation relationships and content similarity. ResearchRabbit continually refines its suggestions, providing a dynamic and evolving dataset tailored to user needs. This tool not only saves researchers time but also presents them with previously overlooked yet highly relevant literature.
