Connected Papers Academic Research Graph Tool

•Connected Papers is a visual tool designed to help researchers and academics explore scholarly literature. It generates interactive graphs, called 'Graphs of Similar Papers,' based on a seed paper you provide. The tool visually maps connections between papers, highlighting prior and derivative works. This allows users to quickly understand a new academic field, discover the most important papers, and ensure they haven't missed key literature, streamlining the literature review process.

•Generates an interactive graph visualization of related academic papers.

•Identifies prior foundational works and newer derivative research.

•Highlights the most central and significant papers in a field.

•Provides a quick, visual overview of a new academic domain.

•Allows users to start from a seed paper, author, or topic.

•Visual discovery is faster than traditional list-based search results.

•The algorithm prioritizes structural connections, not just keyword relevance.

•Helps identify seminal papers that might be missed in a standard search.

•Intuitive interface requires no technical or bibliometric expertise.

•Academic researchers and scientists.

•University students and PhD candidates.

•Librarians and research support staff.

•Industry R&D teams.

Q: How does Connected Papers find related papers?

A: It analyzes semantic connections and co-citation networks to build a similarity graph.

Q: Is Connected Papers free to use?

A: It offers a free tier with limited searches; a paid plan provides more frequent use.

Q: What can I use as a starting point?

A: You can start with a DOI, arXiv ID, PubMed ID, title, or author name.