Johannes Zaar
- Cognitive Neuroscience top 10%
- Signal Processing top 5%
- Speech and Hearing top 2%
- Sensory Systems top 5%
- Biomedical Engineering
- Co-authors
- Torsten DauTobias MayLaurel H. CarneySøren LaugesenStuart RosenEwen MacDonaldOlaf StrelcykSven L. Mattys
- Topics
- Hearing Loss and Rehabilitation (27 papers)Speech and Audio Processing (22 papers)Noise Effects and Management (12 papers)
- Partner nations
- DenmarkUnited StatesSweden
In The Last Decade
Johannes Zaar
27 papers receiving 238 citations
Peers
Comparison fields: 5 of 29
- Cognitive Neuroscience 221
- Signal Processing 130
- Speech and Hearing 126
- Sensory Systems 87
- Biomedical Engineering 27
Countries citing papers authored by Johannes Zaar
This map shows the geographic impact of Johannes Zaar'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 Johannes Zaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Zaar more than expected).
Fields of papers citing papers by Johannes Zaar
This network shows the impact of papers produced by Johannes Zaar. 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 Johannes Zaar. The network helps show where Johannes Zaar may publish in the future.
Co-authorship network of co-authors of Johannes Zaar
This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Zaar. A scholar is included among the top collaborators of Johannes Zaar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johannes Zaar. Johannes Zaar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 24 | |
| 15 | Effects of non-stationary noise on consonant identification | 1 |
| 16 | 11 | |
| 17 | Extending a computational model of auditory processing towards speech intelligibility prediction | 1 |
| 18 | 4 | |
| 19 | Effects of cochlear compression and frequency selectivity on pitch discrimination of complex tones with unresolved harmonics | 1 |
| 20 | Modeling consonant perception in normal-hearing listeners | 1 |
About Johannes Zaar
Johannes Zaar is a scholar working on Signal Processing, Speech and Hearing and Cognitive Neuroscience, having authored 31 papers that have together received 240 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (27 papers), Speech and Audio Processing (22 papers) and Noise Effects and Management (12 papers). The work is most often cited by research in Speech and Hearing (126 citations), Sensory Systems (87 citations) and Signal Processing (130 citations). Johannes Zaar has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Torsten Dau, Tobias May, Laurel H. Carney, Søren Laugesen, Stuart Rosen, Ewen MacDonald, Olaf Strelcyk, Sven L. Mattys, Sébastien Santurette and Federica Bianchi. Their work appears in journals such as PLoS ONE, The Journal of the Acoustical Society of America and European Journal of Neuroscience.
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.