W. Kozek
- Signal Processing top 2%
- Digital Filter Design and Implementation 7
- Blind Source Separation Techniques 5
- Applied Mathematics top 2%
- Mathematical Analysis and Transform Methods 16
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- Image and Signal Denoising Methods 19
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques 8
- Fault Detection and Control Systems 7
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- Structural Health Monitoring Techniques 4
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- Optical and Acousto-Optic Technologies 2
- Co-authors
- Andreas F. MolischFranz HlawatschGerald MatzGötz E. PfanderHans G. FeichtingerFranz LuefKurt S. RiedelU. Trautwein
- Journals
- IEEE Transactions on Signal Processing (5 papers)Applied and Computational Harmonic Analysis (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
W. Kozek
32 papers receiving 734 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 266
- Applied Mathematics 210
- Computer Vision and Pattern Recognition 278
- Computer Networks and Communications 165
- Control and Systems Engineering 153
Countries citing papers authored by W. Kozek
This map shows the geographic impact of W. Kozek'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 W. Kozek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Kozek more than expected).
Fields of papers citing papers by W. Kozek
This network shows the impact of papers produced by W. Kozek. 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 W. Kozek. The network helps show where W. Kozek may publish in the future.
Co-authorship network
The 14 scholars most cited alongside W. Kozek, 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 | 2008 | 30 | |
| 2 | 2005 | 41 | |
| 3 | 2003 | 2 | |
| 4 | ISI / ICI comparison of DMT and wavelet based MCM schemes for time invariant channels | 2002 | 4 |
| 5 | 2002 | 5 | |
| 6 | 2002 | 1 | |
| 7 | 2002 | 2 | |
| 8 | 2002 | 3 | |
| 9 | 2002 | 15 | |
| 10 | 2002 | 1 | |
| 11 | 2002 | 21 | |
| 12 | 2002 | 2 | |
| 13 | 2000 | 53 | |
| 14 | 1998 | 263 | |
| 15 | 1997 | 35 | |
| 16 | 1997 | 51 | |
| 17 | 1994 | 68 | |
| 18 | 1993 | 10 | |
| 19 | 1991 | 13 | |
| 20 | 1991 | 14 |
About W. Kozek
W. Kozek is a scholar working on Applied Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 824 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (19 papers), Mathematical Analysis and Transform Methods (16 papers), Machine Fault Diagnosis Techniques (8 papers), Digital Filter Design and Implementation (7 papers), Fault Detection and Control Systems (7 papers), Blind Source Separation Techniques (5 papers), Structural Health Monitoring Techniques (4 papers) and Optical and Acousto-Optic Technologies (2 papers). The work is most often cited by research in Signal Processing (266 citations), Applied Mathematics (210 citations) and Computer Vision and Pattern Recognition (278 citations). W. Kozek has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Andreas F. Molisch, Franz Hlawatsch, Gerald Matz, Götz E. Pfander, Hans G. Feichtinger, Franz Luef, Kurt S. Riedel, U. Trautwein, Georg Zimmermann and Gernot Kubin. Their work appears in journals such as IEEE Transactions on Signal Processing, Applied and Computational Harmonic Analysis, IEEE Journal on Selected Areas in Communications, SIAM Journal on Mathematical Analysis and Signal Processing.
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.