Sean A. Ridout

Materials SciencePhysics and AstronomyMedicineBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Machine learning that predicts well may not learn the correct physical descriptions of glassy systems”.

Machine learning that predicts well may not learn the correct physical descriptions of glassy systems

arXiv (Cornell University)(2024)10.48550/arxiv.2403.00751

N/A

0DataRank · unranked

0 citations

Sean A. Ridout, Ilya Nemenman, Arabind Swain

A mathematical model for ketosis-prone diabetes suggests the existence of multiple pancreatic β-cell inactivation mechanisms

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.04.597343

N/A

0DataRank · unranked

0 citations

Priyathama Vellanki, Ilya Nemenman, Sean A. Ridout

Distribution of singular values in large sample cross-covariance matrices

arXiv (Cornell University)(2025)10.48550/arxiv.2502.05254

N/A

0DataRank · unranked

0 citations

Sean A. Ridout, Ilya Nemenman, Arabind Swain

Distribution of singular values in large sample cross-covariance matrices

Physical review. E(2025)10.1103/nb6f-4b6p

N/A

0DataRank · unranked

0 citations

Sean A. Ridout, Ilya Nemenman, Arabind Swain