Bernhard Nitsch
- Signal Processing top 2%
- Digital Filter Design and Implementation 2
- Speech and Audio Processing 2
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques 4
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- Acoustic Wave Phenomena Research 1
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- Image and Signal Denoising Methods 1
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- Structural Health Monitoring Techniques 1
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- Matrix Theory and Algorithms 1
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- Numerical methods for differential equations 1
- Journals
- IEEE Signal Processing Magazine (1 paper)Signal Processing (1 paper)European Signal Processing Conference (1 paper)
- Partner nations
- Germany
In The Last Decade
Bernhard Nitsch
5 papers receiving 296 citations
Peers
Comparison fields: 5 of 21
- Signal Processing 301
- Computational Mechanics 305
- Biomedical Engineering 74
- Computer Vision and Pattern Recognition 25
- Cognitive Neuroscience 22
Countries citing papers authored by Bernhard Nitsch
This map shows the geographic impact of Bernhard Nitsch'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 Bernhard Nitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Nitsch more than expected).
Fields of papers citing papers by Bernhard Nitsch
This network shows the impact of papers produced by Bernhard Nitsch. 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 Bernhard Nitsch. The network helps show where Bernhard Nitsch may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Bernhard Nitsch, 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 | 2000 | 30 | |
| 2 | Numerical complexity and tracking abilities of frequency domain adaptive filters | 1999 | 1 |
| 3 | 1999 | 289 | |
| 4 | The partitioned exact frequency domain block NLMS algorithm: a mathematical exact version of the NLMS algorithm working in the frequency domain | 1998 | 2 |
| 5 | Stabilizing the LFTF algorithm by leakage control | 1996 | 1 |
About Bernhard Nitsch
Bernhard Nitsch is a scholar working on Signal Processing, Computational Mechanics, Numerical Analysis, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 5 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (4 papers), Digital Filter Design and Implementation (2 papers), Speech and Audio Processing (2 papers), Image and Signal Denoising Methods (1 paper), Structural Health Monitoring Techniques (1 paper), Acoustic Wave Phenomena Research (1 paper), Matrix Theory and Algorithms (1 paper) and Numerical methods for differential equations (1 paper). The work is most often cited by research in Signal Processing (301 citations), Computational Mechanics (305 citations), Biomedical Engineering (74 citations), Computer Vision and Pattern Recognition (25 citations) and Cognitive Neuroscience (22 citations). Bernhard Nitsch has collaborated with scholars based in Germany. Frequent co-authors include Christina Breining, Henning Puder, Gerhard Schmidt, Eberhard Hänsler and A. Mäder. Their work appears in journals such as IEEE Signal Processing Magazine, Signal Processing, European Signal Processing Conference and TUbilio (Technical University of Darmstadt).
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.