Nate Diamant

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: “Deep Learning of Electrocardiograms Enables Scalable Human Disease Profiling”.

Deep Learning of Electrocardiograms Enables Scalable Human Disease Profiling

medRxiv(2022)10.1101/2022.12.21.22283757

N/A

0DataRank · unranked

2 citations

Xin Wang, Sam Friedman, Nate Diamant, Shaan Khurshid, Paolo Di Achille +13 more

Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-lead Electrocardiograms

medRxiv(2022)10.1101/2022.01.17.22269357

N/A

0DataRank · unranked

1 citations

Shaan Khurshid, Seung Hoan Choi, Sam Friedman, Lu‐Chen Weng, Christopher Reeder +13 more

Artificial intelligence–enabled classification of hypertrophic heart diseases using electrocardiograms

Cardiovascular Digital Health Journal(2023)10.1016/j.cvdhj.2023.03.001

N/A

0DataRank · unranked

51 citations

Nate Diamant, Shaan Khurshid, Paolo Di Achille, Christopher Reeder, Sam Friedman +8 more

Unsupervised deep learning of electrocardiograms enables scalable human disease profiling

npj Digital Medicine(2025)10.1038/s41746-024-01418-9

N/A

0DataRank · unranked

19 citations

Shaan Khurshid, Rachael A. Venn, Xin Wang, Nate Diamant, Paolo Di Achille +14 more