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

Maarten Z H Kolk

ORCID: 0000-0003-0624-1510

Medicine

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: “Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies”.

Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies

EBioMedicine(2023)10.1016/j.ebiom.2023.104462

N/A

0.590DataRank · unranked

50 citations

Brototo Deb, Samuel Ruipérez-Campillo, Neil K. Bhatia, Paul Clopton, Arthur A.M. Wilde +4 more

Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator

EBioMedicine(2023)10.1016/j.ebiom.2023.104937

N/A

0DataRank · unranked

30 citations

Samuel Ruipérez-Campillo, Laura Alvarez-Florez, Brototo Deb, Erik J. Bekkers, Cornelis P. Allaart +8 more

Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders

Expert Systems with Applications(2025)10.1016/j.eswa.2025.130185

N/A

0DataRank · unranked

1 citations

Alain Ryser, Thomas M. Sutter, Brototo Deb, Ruibin Feng, Prasanth Ganesan +7 more