Stephan D. Ewert
Impact in
- Speech and Hearing top 0.1%
- Noise Effects and Management
- Sensory Systems top 0.5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Noise Effects and Management 63
-
- Hearing, Cochlea, Tinnitus, Genetics 33
- Co-authors
- Torsten DauBirger KollmeierVolker HohmannMathias DietzSøren JørgensenHendrik KayserJörn AnemüllerThomas Rohdenburg
- Journals
- The Journal of the Acoustical Society of America (50 papers)Journal of the Audio Engineering Society (7 papers)Hearing Research (6 papers)Trends in Hearing (5 papers)International Journal of Audiology (4 papers)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Stephan D. Ewert
110 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 69
- Speech and Hearing 1.0k
- Sensory Systems 599
- Signal Processing 1.2k
- Cognitive Neuroscience 2.0k
- Developmental Biology 52
Countries citing papers authored by Stephan D. Ewert
This map shows the geographic impact of Stephan D. Ewert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephan D. Ewert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan D. Ewert more than expected).
Fields of papers citing papers by Stephan D. Ewert
This network shows the impact of papers produced by Stephan D. Ewert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephan D. Ewert. The network helps show where Stephan D. Ewert may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan D. Ewert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 5 | |
| 11 | 2018 | 31 | |
| 12 | 2018 | 2 | |
| 13 | 2017 | 15 | |
| 14 | 2017 | 27 | |
| 15 | 2017 | 3 | |
| 16 | 2016 | 11 | |
| 17 | 2014 | 46 | |
| 18 | Assessment, modeling, and compensation of inner and outer hair cell damage | 2013 | 3 |
| 19 | Model-based loudness compensation for broad- and narrow-band signals | 2013 | 2 |
| 20 | Model-based hearing aid gain prescription rule | 2011 | 5 |
About Stephan D. Ewert
Stephan D. Ewert is a scholar working on Speech and Hearing, Sensory Systems, Signal Processing, Cognitive Neuroscience and Biomedical Engineering, having authored 113 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (101 papers), Noise Effects and Management (63 papers), Speech and Audio Processing (59 papers), Hearing, Cochlea, Tinnitus, Genetics (33 papers), Acoustic Wave Phenomena Research (29 papers), Neuroscience and Music Perception (9 papers), Music and Audio Processing (5 papers) and Structural Health Monitoring Techniques (4 papers). The work is most often cited by research in Speech and Hearing (1.0k citations), Sensory Systems (599 citations), Signal Processing (1.2k citations), Cognitive Neuroscience (2.0k citations) and Developmental Biology (52 citations). Stephan D. Ewert has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Torsten Dau, Birger Kollmeier, Volker Hohmann, Mathias Dietz, Søren Jørgensen, Hendrik Kayser, Jörn Anemüller, Thomas Rohdenburg, Thomas Brand and Steven van de Par. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society, Hearing Research, Trends in Hearing and International Journal of Audiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.