🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

C. Campagnari

ORCID: 0000-0002-8978-8177

Physics and AstronomyComputer Science

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: “Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system”.

Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system

Clinical Research in Cardiology(2024)10.1007/s00392-024-02433-2

N/A

0.269DataRank · unranked

5 citations

Ted Ling Hu, Eric Adler, Lucia C. Petito, Ramsey M. Wehbe, Jane E. Wilcox +7 more

A machine learning risk score predicts mortality across the spectrum of left ventricular ejection fraction

European Journal of Heart Failure(2021)10.1002/ejhf.2155

N/A

0DataRank · unranked

32 citations

Eric Adler, C. Campagnari, Avi Yagil, Barry Greenberg

Improving clinical trial efficiency using a machine learning‐based risk score to enrich study populations

European Journal of Heart Failure(2022)10.1002/ejhf.2528

N/A

0DataRank · unranked

23 citations

C. Campagnari, Brian Claggett, Eric Adler, LIVIU KLEIN, Faraz S. Ahmad +5 more

Performance of Risk Models to Predict Mortality Risk for Patients with Heart Failure: Evaluation in an Integrated Health System

medRxiv(2023)10.1101/2023.06.23.23291822

N/A

0DataRank · unranked

0 citations

Ted Ling Hu, Eric Adler, Lucia C. Petito, Ramsey M. Wehbe, Jane E. Wilcox +7 more