Péter Balázs
Impact in
- Applied Mathematics top 1%
- Mathematical Analysis and Transform Methods
- Signal Processing top 1%
- Digital Filter Design and Implementation
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
Papers in
-
- Digital Filter Design and Implementation 21
- Speech and Audio Processing 20
- Blind Source Separation Techniques 5
- Music and Audio Processing 5
-
- Image and Signal Denoising Methods 36
- Co-authors
- Peter Søndergaard (4 shared papers)Diana T. Stoeva (10 shared papers)Bernhard Laback (8 shared papers)Nicki Holighaus (11 shared papers)Jean-Pierre Antoine (5 shared papers)Piotr Majdak (3 shared papers)Bruno Torrésani (2 shared papers)Nathanaël Perraudin (2 shared papers)
In The Last Decade
Péter Balázs
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Applied Mathematics 620
- Signal Processing 632
- Developmental Biology 59
- Computer Vision and Pattern Recognition 531
- Mathematical Physics 125
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 100 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 | 105 |
| 2 | 2013 | 86 | |
| 3 | 2011 | 78 | |
| 4 | 2012 | 71 | |
| 5 | 2006 | 70 | |
| 6 | 2014 | 59 | |
| 7 | 2010 | 52 | |
| 8 | 2008 | 47 | |
| 9 | 2009 | 47 | |
| 10 | 2012 | 45 | |
| 11 | 2017 | 44 | |
| 12 | 2006 | 38 | |
| 13 | 2011 | 31 | |
| 14 | 2013 | 30 | |
| 15 | 2022 | 26 | |
| 16 | 2011 | 25 | |
| 17 | 2015 | 24 | |
| 18 | 2013 | 23 | |
| 19 | 2017 | 22 | |
| 20 | 2012 | 22 |
About Péter Balázs
Péter Balázs is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Applied Mathematics, Computational Mechanics and Geophysics, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (39 papers), Image and Signal Denoising Methods (36 papers), Digital Filter Design and Implementation (21 papers), Speech and Audio Processing (20 papers), Seismic Imaging and Inversion Techniques (10 papers), Hearing Loss and Rehabilitation (8 papers), Blind Source Separation Techniques (5 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Applied Mathematics (620 citations), Signal Processing (632 citations), Developmental Biology (59 citations), Computer Vision and Pattern Recognition (531 citations) and Mathematical Physics (125 citations). Péter Balázs has collaborated with scholars based in Austria, France and Hungary. Frequent co-authors include Peter Søndergaard, Diana T. Stoeva, Bernhard Laback, Nicki Holighaus, Jean-Pierre Antoine, Piotr Majdak, Bruno Torrésani, Nathanaël Perraudin, 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.