Peter Wendt
Impact in
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- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Medical Image Segmentation Techniques
- Signal Processing top 5%
- Blind Source Separation Techniques
- Digital Filter Design and Implementation
Papers in
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- Image and Signal Denoising Methods 4
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- Neural Networks and Applications 3
- Co-authors
- Edward J. Coyle (2 shared papers)Neal C. Gallagher (2 shared papers)Tim McCarthy (1 shared paper)Ali N. Akansu (1 shared paper)W. D. Sager (1 shared paper)J. Dudeck (1 shared paper)
- Journals
- Signal Processing Image Communication (1 paper)IEEE Transactions on Circuits and Systems (1 paper)Informatik-Spektrum (1 paper)Praxis Der Wirtschaftsinformatik (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Peter Wendt
7 papers receiving 541 citations
Peter Wendt's Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 422
- Signal Processing 158
- Media Technology 85
- Computational Mechanics 127
- Artificial Intelligence 137
Countries citing papers authored by Peter Wendt
This map shows the geographic impact of Peter Wendt'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 Wendt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Wendt more than expected).
Fields of papers citing papers by Peter Wendt
This network shows the impact of papers produced by Peter Wendt. 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 Wendt. The network helps show where Peter Wendt may publish in the future.
Co-authors
The 6 scholars most cited alongside Peter Wendt, 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 | Stack filters Hit paper breakdown → | 1986 | 500 |
| 2 | 1986 | 49 | |
| 3 | 1990 | 22 | |
| 4 | 1990 | 21 | |
| 5 | 2001 | 4 | |
| 6 | 1990 | 3 | |
| 7 | Intelligentes System zur Texterfassung mit Fehlerkontrolle: KLAUKON. | 1981 | 1 |
| 8 | Web-Logfile-Analyse. | 2001 | 0 |
| 9 | 2002 | 0 |
About Peter Wendt
Peter Wendt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Management of Technology and Innovation, having authored 9 papers that have together received 600 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Neural Networks and Applications (3 papers), Digital Innovation in Industries (2 papers), Business Process Modeling and Analysis (1 paper), Video Coding and Compression Technologies (1 paper), Digital Filter Design and Implementation (1 paper), Neural Networks Stability and Synchronization (1 paper) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (422 citations), Signal Processing (158 citations), Media Technology (85 citations), Computational Mechanics (127 citations) and Artificial Intelligence (137 citations). Peter Wendt has collaborated with scholars based in United States and Germany. Frequent co-authors include Edward J. Coyle, Neal C. Gallagher, Tim McCarthy, Ali N. Akansu, W. D. Sager and J. Dudeck. Their work appears in journals such as Signal Processing Image Communication, IEEE Transactions on Circuits and Systems, Informatik-Spektrum, Praxis Der Wirtschaftsinformatik and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.