Connected Papers is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work.
You can use Connected Papers to:
Get a visual overview of a new academic field.
Enter a typical paper and we'll build you a graph of similar papers in the field. Explore and build more graphs for interesting papers that you find - soon you'll have a real, visual understanding of the trends, popular works and dynamics of the field you're interested in.Make sure you haven't missed an important paper.
In some fields like Machine Learning, so many new papers are published it's hard to keep track. With Connected Papers you can just search and and visually discover important recent papers. No need to keep lists.Create the bibliography to your thesis.
In some fields like Machine Learning, so many new papers are published it's hard to keep track. With Connected Papers you can just search and and visually discover important recent papers. No need to keep lists.Discover the most relevant prior and derivative works.
Use our Prior Works view to find important ancestor works in your field of interest. Use our Derivative Works view to find literature reviews of the field, as well as recently published State of the Art that followed your input paper.
A simple tool allowing for analyzing the web of connections between publications hosted by different catelogging resources (e.g., PubMed, arXiv); unique method of exploring scientific publications and publishing at large
Easy to start exploration of data (input of text identifiably linked to a publication) and to use, in general
Waleed Ammar et al. 2018. Construction of the Literature Graph in Semantic Scholar. NAACL https://www.semanticscholar.org/paper/09e3cf5704bcb16e6657f6ceed70e93373a54618