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

Tomas J. McIntee

University of North Carolina at Chapel Hill

ORCID: 0000-0003-1569-7974

Economics, Econometrics and FinanceMedicineMaterials ScienceDecision Sciences

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 3 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

0.345DataRank · unranked

9 citations

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

Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort

Communications Medicine(2025)10.1038/s43856-025-00827-5

N/A

0.330DataRank · unranked

8 citations

Tomas J. McIntee, Abhishek Bhatia, Charisse Madlock‐Brown, J. L. Seltzer, Anisha Sekar +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