What’s of interest? Connected Papers | Find and explore academic papers
Tell me more!
Connected Papers is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work.
How does it work?
To create each graph, we analyze an order of ~50,000 papers and select the few dozen with the strongest connections to the origin paper.
In the graph, papers are arranged according to their similarity. That means that even papers that do not directly cite each other can be strongly connected and very closely positioned. Connected Papers is not a citation tree.
Our similarity metric is based on the concepts of Co-citation and Bibliographic Coupling. According to this measure, two papers that have highly overlapping citations and references are presumed to have a higher chance of treating a related subject matter.
Our algorithm then builds a Force Directed Graph to distribute the papers in a way that visually clusters similar papers together and pushes less similar papers away from each other. Upon node selection we highlight the shortest path from each node to the origin paper in similarity space.
Our database is connected to the Semantic Scholar Paper Corpus (licensed under ODC-BY). Their team has done an amazing job of compiling hundreds of millions of published papers across many scientific fields.
h/t to Bryan Alexander for “connecting” me to this!
Where is it?: https://www.connectedpapers.com/
This is one among many items I will regularly tag in Pinboard as oegconnect, and automatically post tagged as #OEGConnect to Mastodon. Do you know of something else we should share like this? Just reply below and we will check it out.
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