Péter Balázs
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Digital Filter Design and Implementation
- Music and Audio Processing
- Blind Source Separation Techniques
- Applied Mathematics top 1%
- Mathematical Analysis and Transform Methods
Papers in
-
- Speech and Audio Processing 19
- Digital Filter Design and Implementation 18
- Music and Audio Processing 5
-
- Image and Signal Denoising Methods 32
- Co-authors
- Peter Søndergaard (4 shared papers)Bernhard Laback (7 shared papers)Piotr Majdak (3 shared papers)Diana T. Stoeva (7 shared papers)Jean-Pierre Antoine (5 shared papers)Nathanaël Perraudin (2 shared papers)Nicki Holighaus (9 shared papers)Bruno Torrésani (2 shared papers)
In The Last Decade
Péter Balázs
72 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Signal Processing 504
- Applied Mathematics 474
- Developmental Biology 59
- Computer Vision and Pattern Recognition 405
- Mathematical Physics 102
Countries citing papers authored by Péter Balázs
This map shows the geographic impact of Péter Balázs'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 Péter Balázs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Balázs more than expected).
Fields of papers citing papers by Péter Balázs
This network shows the impact of papers produced by Péter Balázs. 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 Péter Balázs. The network helps show where Péter Balázs may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Balázs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiple Exponential Sweep Method for Fast Measurement of Head-Related Transfer Functions | 2007 | 100 |
| 2 | 2013 | 83 | |
| 3 | 2011 | 68 | |
| 4 | 2012 | 62 | |
| 5 | 2006 | 61 | |
| 6 | 2010 | 45 | |
| 7 | 2008 | 45 | |
| 8 | 2017 | 44 | |
| 9 | 2009 | 42 | |
| 10 | 2012 | 40 | |
| 11 | 2006 | 36 | |
| 12 | 2013 | 26 | |
| 13 | 2011 | 25 | |
| 14 | 2022 | 24 | |
| 15 | 2015 | 22 | |
| 16 | 2013 | 21 | |
| 17 | 2017 | 21 | |
| 18 | 2008 | 21 | |
| 19 | 2011 | 20 | |
| 20 | 2011 | 20 |
About Péter Balázs
Péter Balázs is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Applied Mathematics, Geophysics and Computational Mechanics, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (32 papers), Mathematical Analysis and Transform Methods (32 papers), Speech and Audio Processing (19 papers), Digital Filter Design and Implementation (18 papers), Seismic Imaging and Inversion Techniques (10 papers), Hearing Loss and Rehabilitation (7 papers), Music and Audio Processing (5 papers) and Animal Vocal Communication and Behavior (4 papers). The work is most often cited by research in Signal Processing (504 citations), Applied Mathematics (474 citations), Developmental Biology (59 citations), Computer Vision and Pattern Recognition (405 citations) and Mathematical Physics (102 citations). Péter Balázs has collaborated with scholars based in Austria, France and Hungary. Frequent co-authors include Peter Søndergaard, Bernhard Laback, Piotr Majdak, Diana T. Stoeva, Jean-Pierre Antoine, Nathanaël Perraudin, Nicki Holighaus, Bruno Torrésani, Monika Dörfler and Dustin J. Penn. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Applied and Computational Harmonic Analysis, Journal of Physics A Mathematical and Theoretical, The Journal of the Acoustical Society of America and PLoS ONE.
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.