Johannes Zaar

Also affiliated with Technical University of Denmark

NeuroscienceComputer ScienceHealth ProfessionsPsychology

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 5 papers. Top paper: “Predicting speech intelligibility in hearing-impaired listeners using a physiologically inspired auditory model”.

Predicting speech intelligibility in hearing-impaired listeners using a physiologically inspired auditory model

Hearing Research(2022)10.1016/j.heares.2022.108553

N/A

0DataRank · unranked

28 citations

Laurel H. Carney, Johannes Zaar

Predicting speech intelligibility across acoustic conditions and hearing status using a physiologically inspired auditory model

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6576879

N/A

0DataRank · unranked

0 citations

Laurel H. Carney, Johannes Zaar

Predicting supra-threshold speech processing deficits in hearing-impaired listeners using a physiologically inspired auditory model

Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)(2024)10.61782/fa.2023.0205

N/A

0DataRank · unranked

0 citations

Laurel H. Carney, Johannes Zaar

Evaluating the role of age on speech-in-noise perception based primarily on temporal envelope information

PsyArXiv (OSF Preprints)(2024)10.31234/osf.io/uf5xe

N/A

0DataRank · unranked

0 citations

Andrew J. Oxenham, Helia Relaño-Iborra, Johannes Zaar, Torsten Dau, Jonathan Regev

Evaluating the role of age on speech-in-noise perception based primarily on temporal envelope information

Hearing Research(2025)10.1016/j.heares.2025.109236

N/A

0DataRank · unranked

4 citations

Andrew J. Oxenham, Helia Relaño-Iborra, Johannes Zaar, Torsten Dau, Jonathan Regev