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

Sarah Verhulst

HOGENT University of Applied Sciences and Arts

ORCID: 0000-0002-6498-7719

Also affiliated with Ghent University Hospital, Ghent University, Expert System (Italy)

NeuroscienceHealth Professions

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 10 papers. Top paper: “Optimized Tuning of Auditory Inner Hair Cells to Encode Complex Sound through Synergistic Activity of Six Independent K+ Current Entities”.

Optimized Tuning of Auditory Inner Hair Cells to Encode Complex Sound through Synergistic Activity of Six Independent K+ Current Entities

Cell Reports(2020)10.1016/j.celrep.2020.107869
N/A
0DataRank · unranked
34 citations

Alessandro Altoè, Julia Koppelmann, Saskia Evers, Vijay Renigunta, Martin Schäfer +5 more

Deciphering compromised speech-in-noise intelligibility in older listeners: the role of cochlear synaptopathy

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.09.142950
N/A
0DataRank · unranked
10 citations

Viacheslav Vasilkov, Manfred Mauermann, Pauline Devolder, John L. Wilson, Leslie Gonzales +3 more

Envelope following responses predict speech-in-noise performance in normal-hearing listeners

Journal of Neurophysiology(2021)10.1152/jn.00620.2020
N/A
0DataRank · unranked
76 citations

Sarah Verhulst, Kenneth E. Hancock, Markus Garrett, Viacheslav Vasilkov, Kara Bennett +4 more

A comparative study of eight human auditory models of monaural processing

Springer Link (Chiba Institute of Technology)(2021)10.48550/arxiv.2107.01753
N/A
0DataRank · unranked
0 citations

Léo Varnet, Laurel H. Carney, Torsten Dau, Ian C. Bruce, Sarah Verhulst +2 more

A comparative study of eight human auditory models of monaural processing

Acta Acustica(2022)10.1051/aacus/2022008
N/A
0DataRank · unranked
47 citations

Léo Varnet, Laurel H. Carney, Torsten Dau, Ian C. Bruce, Sarah Verhulst +2 more

Predicting synapse counts in living humans by combining computational models with auditory physiology

The Journal of the Acoustical Society of America(2022)10.1121/10.0009238
N/A
0DataRank · unranked
29 citations

Garnett P. McMillan, Sarineh Keshishzadeh, Sarah Verhulst, Naomi F. Bramhall, Brad N. Buran

MoH 2024 - test

OSF Preprints (OSF Preprints)(2023)10.31219/osf.io/3hn5v
N/A
0DataRank · unranked
0 citations

Karl Grosh, Sarah Verhulst, Julien Meaud, Karolina K. Charaziak

Deciphering Compromised Speech-in-Noise Intelligibility in Older Listeners: The Role of Cochlear Synaptopathy

eNeuro(2025)10.1523/eneuro.0182-24.2024
N/A
0DataRank · unranked
19 citations

Viacheslav Vasilkov, Manfred Mauermann, Pauline Devolder, John L. Wilson, Leslie Gonzales +3 more

The Search for a Diagnostic Indicator of Cochlear Deafferentation: Predicting Age and Veteran Status from Auditory Evoked Potential Measures

medRxiv(2025)10.1101/2025.11.20.25340672
N/A
0DataRank · unranked
0 citations

Morgan Thienpont, Sean D. Kampel, Anne E Heassler, Nicole Whittle, Haley A. Szabo +3 more

Predicting Cochlear Synaptopathy in Mice with Varying Degrees of Outer Hair Cell Dysfunction Using Auditory Evoked Potentials

Journal of the Association for Research in Otolaryngology(2025)10.1007/s10162-025-01015-x
N/A
0DataRank · unranked
0 citations

Seán Elkins, Wenxuan He, Sarah Verhulst, Naomi F. Bramhall, Brad N. Buran