Connected Papers
An AI-based service that builds an interactive graph of related scientific publications
Description
Connected Papers is an AI-based service that builds an interactive graph of related scientific publications. Simply enter the Paper Title, DOI, arXiv, Semantic Scholar, or PubMed link — and you will receive a visual overview of the field, key works, as well as prior and derivative research. The tool helps navigate rapidly growing areas, saves time, and reduces the risk of missing important sources.
Key Features and Capabilities
- Visual Field Graph: construction of a map of similar articles around the selected work to understand trends and thematic clusters.
- Prior Works: search for significant prior publications — the foundation and classics of the topic.
- Derivative Works: discovery of reviews and contemporary State of the Art that followed the original article.
- Flexible Input: support for Paper Title, DOI, arXiv, Semantic Scholar, PubMed, and direct URLs — start with what you have at hand.
- Bibliography and Navigation: quick addition of sources for coursework, theses, and articles, links to original publications.
- Graph Examples: ready-made maps for a quick start (e.g., “Science mapping software tools” or “DeepFruits”) to understand the logic and quality of connections.
Benefits of Using
- Speed and Depth: AI matching of relevant works provides a panorama of the topic in minutes instead of weeks of reading.
- Reduction of Information Noise: the visual structure helps separate key articles from secondary ones.
- Relevance: in fields like machine learning, it is easy to find fresh and influential works without manual monitoring.
- Complete Picture: Prior/Derivative Works modes show context — from origins to the latest reviews.
- Quality of the Database: reliance on Semantic Scholar with hundreds of millions of publications across all fields of science.
Who the Service is Suitable For
- Researchers and Graduate Students: quick overview of the field, identification of gaps, and formation of a theoretical base.
- Students and Instructors: convenient navigation through literature for coursework, seminars, and handbooks.
- Data Scientists and ML Engineers: tracking new AI results, selecting State of the Art, and replications.
- Editors and Analysts: preparation of reviews, fact-checking, and sourcing primary materials.
- Author Teams and R&D: assessment of relevance, exploration of adjacent fields, and research planning.
Pricing and Access Terms
On the website, example graphs and map construction based on the entered article identifier are available. There are “Pricing”, “Terms”, “Privacy”, and “Cookies policy” pages, as well as a newsletter with rare updates. The basic scenario is to enter the Paper Title, DOI, arXiv, Semantic Scholar, or PubMed — and receive a graph for analysis. For details on paid options and limits, see the Pricing page.
Conclusion
Connected Papers transforms the chaotic search for literature into a visual knowledge map: a visual graph, predecessors, derivative works, and quick bibliography. Enter the identifier of your key article and build a graph — assess the field, identify gaps, and compile a strong list of sources. Go to Pricing, choose access, and start automating your research today.