Martin Seneviratne

Stanford University

Computer ScienceMedicineHealth ProfessionsBiochemistry, 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 2 papers. Top paper: “Reporting of demographic data and representativeness in machine learning models using electronic health records”.

Reporting of demographic data and representativeness in machine learning models using electronic health records

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa164

N/A

0.614DataRank · unranked

59 citations

Eli M. Cahan, Martin G Seneviratne, Ran Sun, John P. A. Ioannidis, Martin Seneviratne +3 more

Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage

Frontiers in Digital Health(2022)10.3389/fdgth.2022.793316

N/A

0DataRank · unranked

18 citations

Christopher J. Magnani, Martin Seneviratne, James D. Brooks, Tina Hernandez‐Boussard, Selen Bozkurt