Sandy Preiss

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: “Reengineering a machine learning phenotype to adapt to the changing COVID-19 landscape: A study from the N3C and RECOVER consortia”.

Reengineering a machine learning phenotype to adapt to the changing COVID-19 landscape: A study from the N3C and RECOVER consortia

medRxiv(2023)10.1101/2023.12.08.23299718

N/A

0DataRank · unranked

9 citations

Tomas J. McIntee, Sandy Preiss, M. Daniel Brannock, Yun Jae Yoo, Emily Hadley +9 more

Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia

The Lancet Digital Health(2025)10.1016/j.landig.2025.100887

N/A

0DataRank · unranked

3 citations

Tomas J. McIntee, Sandy Preiss, M. Daniel Brannock, John M. Baratta, Yun Jae Yoo +10 more