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If you are a researcher or a student who needs to find and explore academic papers related to your field of work, you might be interested in Connected Papers. Connected Papers is a website that allows you to enter a paper identifier (such as DOI, arXiv ID, URL, title, etc.) and get a visual graph of similar papers in the field. You can then explore and build more graphs for interesting papers that you find, and get a better understanding of the trends, popular works and dynamics of the field.
Connected Papers

Connected Papers is not a citation tree, but rather a similarity graph. It uses the concepts of co-citation and bibliographic coupling to measure the similarity between papers based on their citations and references. This means that even papers that do not directly cite each other can be strongly connected and very closely positioned in the graph. You can also use Connected Papers to find important prior and derivative works, create your bibliography, and discover recent state-of-the-art papers.

Connected Papers supports hundreds of millions of papers from all fields of science, thanks to the Semantic Scholar database. It is a unique and visual tool that can help you with your literature search workflow. You can try it for free at https://www.connectedpapers.com/ or subscribe for $3 per month (billed annually) to get access to more features and support the project. You can also apply for a scholarship program if you truly can not afford a subscription.

Connected Papers started as a weekend side project between friends who have been working with academic papers for years and felt a great need for better tools for science and research. They decided to release it to the public for the benefit of the scientific community. You can learn more about their story and contact them at https://www.connectedpapers.com/about.

  • It helps researchers find and explore papers relevant to their field of work by creating visual graphs of similar papers.
  • It supports papers from all fields of science using the Semantic Scholar database which contains hundreds of millions of papers.
  • It allows users to discover the most relevant prior and derivative works, as well as literature reviews and state of the art papers.
  • It is not a citation tree, so it does not show the direct citation relationships between papers.
  • It is optimized for desktop browsers, so it may not work well on mobile devices or tablets.

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