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

Kenneth I. Vaden

Medical University of South Carolina

ORCID: 0000-0002-3621-2043

NeurosciencePsychology

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 7%percentile

0.165Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Dyslexia Data Consortium Repository: A Data Sharing and Delivery Platform for Research

Lecture notes in computer science(2023)10.1007/978-3-031-43075-6_15

Top 70%

0.165DataRank

Top 70%2 citations

Rishikesh V. Phatangare, Mark A. Eckert, Kenneth I. Vaden, James Z. Wang, Roshan Bhandari

Papers

Driven by 14 papers — median percentile 30. Top paper: “Large-scale audiometric phenotyping identifies distinct genes and pathways involved in hearing loss subtypes”.

Large-scale audiometric phenotyping identifies distinct genes and pathways involved in hearing loss subtypes

Communications Biology(2025)10.1038/s42003-025-08778-2

N/A

0.241DataRank · unranked

4 citations

Kenneth I. Vaden, Morag A. Lewis, Darren Leitao, Karen P. Steel, Judy R. Dubno +2 more

Dyslexia Data Consortium Repository: A Data Sharing and Delivery Platform for Research

Lecture notes in computer science(2023)10.1007/978-3-031-43075-6_15

Top 70%

0.165DataRank

Top 70%2 citations

Rishikesh V. Phatangare, Mark A. Eckert, Kenneth I. Vaden, James Z. Wang, Roshan Bhandari

Cortical asymmetries at different spatial hierarchies relate to phonological processing ability

PLoS Biology(2022)10.1371/journal.pbio.3001591

N/A

0DataRank · unranked

15 citations

Kenneth I. Vaden, Federico Iuricich, Mark A. Eckert

Accurate phenotypic classification and exome sequencing allow identification of novel genes and variants associated with adult-onset hearing loss

PLoS Genetics(2023)10.1371/journal.pgen.1011058

N/A

0DataRank · unranked

9 citations

Jennifer Schulte, Lois J. Matthews, Kenneth I. Vaden, Claire J. Steves, Frances M. K. Williams +4 more

Deep learning classification of reading disability with regional brain volume features

NeuroImage(2023)10.1016/j.neuroimage.2023.120075

N/A

0DataRank · unranked

7 citations

James Z. Wang, Kenneth I. Vaden, Mark A. Eckert, Foram Joshi

Metabolic and Sensory Components of Age-Related Hearing Loss: Associations With Distortion- and Reflection-Based Otoacoustic Emissions

Trends in Hearing(2023)10.1177/23312165231213776

N/A

0DataRank · unranked

5 citations

Stephen T. Neely, Sara Harris, Judy R. Dubno, Kenneth I. Vaden

Auditory Cortex Asymmetry Associations with Individual Differences in Language and Cognition

Brain Sciences(2023)10.3390/brainsci14010014

N/A

0DataRank · unranked

1 citations

Kenneth I. Vaden, Silvia Paracchini, Mark A. Eckert

Accurate phenotypic classification and exome sequencing allow identification of novel genes and variants associated with adult-onset hearing loss

medRxiv(2023)10.1101/2023.04.27.23289040

N/A

0DataRank · unranked

3 citations

Jennifer Schulte, Lois J. Matthews, Kenneth I. Vaden, Claire J. Steves, Frances M. K. Williams +4 more

Soft classification and regression analysis of audiometric phenotypes of age-related hearing loss

Biometrics(2024)10.1093/biomtc/ujae013

N/A

0DataRank · unranked

6 citations

Benjamin Langworthy, Sharon G. Curhan, Kenneth I. Vaden, Gary C. Curhan, Judy R. Dubno +2 more

Executive Function Associations With Audibility-Adjusted Speech Perception in Noise

Journal of Speech Language and Hearing Research(2024)10.1044/2024_jslhr-24-00333

N/A

0DataRank · unranked

5 citations

Lois J. Matthews, Kenneth I. Vaden, Judy R. Dubno, Mark A. Eckert

New Quadratic Discriminant Analysis Algorithms for Correlated Audiometric Data

Statistics in Medicine(2024)10.1002/sim.10257

N/A

0DataRank · unranked

0 citations

David M. Zucker, Kenneth I. Vaden, Sharon G. Curhan, Judy R. Dubno, Molin Wang +1 more

Fully synthetic neuroimaging data for replication and exploration

NeuroImage(2020)10.1016/j.neuroimage.2020.117284

N/A

0DataRank · unranked

16 citations

Mulugeta Gebregziabher, Mark A. Eckert, Kenneth I. Vaden

Feature-Based Audiogram Value Estimator (FAVE): Estimating Numerical Thresholds from Scanned Images of Handwritten Audiograms

Journal of Medical Systems(2025)10.1007/s10916-025-02146-7

N/A

0DataRank · unranked

1 citations

Kenneth I. Vaden, Lois J. Matthews, Judy R. Dubno, Paul G. Mayo

Evidence for cortical adjustments to perceptual decision criteria during word recognition in noise

NeuroImage(2022)10.1016/j.neuroimage.2022.119042

N/A

0DataRank · unranked

19 citations

Susan Teubner‐Rhodes, Jayne B. Ahlstrom, Judy R. Dubno, Mark A. Eckert, Kenneth I. Vaden