Peter Počta
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
-
- Image and Video Quality Assessment
- Advanced Data Compression Techniques
Papers in
-
- Image and Video Quality Assessment 17
- Advanced Data Compression Techniques 14
- Advanced Image Processing Techniques 7
-
- Speech and Audio Processing 22
- Co-authors
- John G. Beerends (3 shared papers)Hugh Melvin (12 shared papers)Milan Dado (4 shared papers)Tatiana Kováčiková (3 shared papers)Lukas Sevcik (1 shared paper)Andrew Hines (3 shared papers)Jan Holub (5 shared papers)Marcus Barkowsky (10 shared papers)
In The Last Decade
Peter Počta
57 papers receiving 296 citations
Peers
Comparison fields: 5 of 51
- Signal Processing 115
- Computer Vision and Pattern Recognition 118
- Computer Networks and Communications 80
- Automotive Engineering 32
- Media Technology 16
Countries citing papers authored by Peter Počta
This map shows the geographic impact of Peter Počta'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 Peter Počta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Počta more than expected).
Fields of papers citing papers by Peter Počta
This network shows the impact of papers produced by Peter Počta. 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 Peter Počta. The network helps show where Peter Počta may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Počta, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 35 | |
| 2 | 2021 | 31 | |
| 3 | 2022 | 22 | |
| 4 | 2015 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2015 | 12 | |
| 7 | 2019 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2011 | 10 | |
| 10 | 2014 | 9 | |
| 11 | 2013 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2007 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | A systematic study of PESQ's behavior in simulated VoIP environment (from reference signal characteristics perspective) | 2008 | 4 |
About Peter Počta
Peter Počta is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 61 papers that have together received 305 indexed citations. Recurring topics across this work include Speech and Audio Processing (22 papers), Image and Video Quality Assessment (17 papers), Advanced Data Compression Techniques (14 papers), Wireless Communication Networks Research (9 papers), Advanced Image Processing Techniques (7 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Advanced Adaptive Filtering Techniques (6 papers) and Power Line Communications and Noise (5 papers). The work is most often cited by research in Signal Processing (115 citations), Computer Vision and Pattern Recognition (118 citations), Computer Networks and Communications (80 citations), Automotive Engineering (32 citations) and Media Technology (16 citations). Peter Počta has collaborated with scholars based in Slovakia, Ireland and Germany. Frequent co-authors include John G. Beerends, Hugh Melvin, Milan Dado, Tatiana Kováčiková, Lukas Sevcik, Andrew Hines, Jan Holub, Marcus Barkowsky, Roman Jarina and Ľuboš Buzna. Their work appears in journals such as Acta acustica united with Acustica, ACM Transactions on Multimedia Computing Communications and Applications, Multimedia Tools and Applications, Applied Sciences and Vehicular Communications.
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.