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)
Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices
published2024 · International Journal of Research in Marketing · 7 citations
with Ryan Dew, Lan Luo, Shin Oblander, Asim Ansari, Khaled Boughanmi, Michael Braun, Fred M. Feinberg, Jia Liu, Thomas Otter, Longxiu Tian, Zhaoran Wang, Mingzhang Yin, …
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.