N.J. Wheeler

EngineeringMedicine

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: “Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning”.

Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning

PLoS ONE(2025)10.1371/journal.pone.0323873

N/A

0DataRank · unranked

7 citations

Raphael Y. Cohen, N.J. Wheeler, Ricardo Kleinlein, John Rigoni, David W. Bates +3 more

External validation of a machine learning model to predict postpartum hemorrhage in a US northeastern healthcare system

Pregnancy(2025)10.1002/pmf2.70200

N/A

0DataRank · unranked

1 citations

Ricardo Kleinlein, N.J. Wheeler, Kartik K. Venkatesh, Eric Jelovsek, David W. Bates +2 more