Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.
Papers
(2 of 13)
Physics-informed convolutional neural networks for fluid flow through porous media
with Adam Mahdi, P. Błaszczyk, Dario Salvi, Tak-Shing Chan, John Harvey, Davide Gurnari, Yue Wu, Ahmad Shah Farhat, Niklas Hellmer, Alexander E. Zarebski, Bernie Hogan, Lionel Tarassenko, …
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.