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
(1 of 5)
From STEM-EDXS data to phase separation and quantification using physics-guided NMF
published2024 · Machine Learning Science and Technology · 3 citations
with Adrien Teurtrie, Thomas Holvoet, Hui Chen, Duncan T. L. Alexander, Guillaume Obozinski, C. Hébert
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.