Rachael V. Philips

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: “Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner”.

Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner

medRxiv(2023)10.1101/2023.07.27.23293272

N/A

0DataRank · unranked

3 citations

Yunwen Ji, Haodong Li, Jeremy Coyle, Junming Shi, Rachael V. Philips +7 more

Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

EBioMedicine(2024)10.1016/j.ebiom.2024.105333

N/A

0DataRank · unranked

4 citations

Johanna J. Loomba, Emily Pfaff, Fangfang Xia, Zixuan Zhao, Yitan Zhu +90 more