Patrick Kuppinger
Impact in
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques
- Signal Processing top 2%
- Blind Source Separation Techniques
- Direction-of-Arrival Estimation Techniques
Papers in
-
- Sparse and Compressive Sensing Techniques 5
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- Microwave Imaging and Scattering Analysis 2
- Photoacoustic and Ultrasonic Imaging 2
- Co-authors
- Helmut Bölcskei (6 shared papers)Yonina C. Eldar (1 shared paper)Christoph Studer (2 shared papers)Giuseppe Durisi (2 shared papers)
- Journals
- IEEE Transactions on Information Theory (2 papers)IEEE Transactions on Signal Processing (1 paper)Wilmott (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- SwitzerlandUnited StatesIsrael
In The Last Decade
Patrick Kuppinger
8 papers receiving 1.1k citations
Patrick Kuppinger's Hit Papers
Peers
Comparison fields: 5 of 61
- Computational Mechanics 799
- Signal Processing 392
- Acoustics and Ultrasonics 18
- Computer Vision and Pattern Recognition 284
- Computational Mathematics 6
Countries citing papers authored by Patrick Kuppinger
This map shows the geographic impact of Patrick Kuppinger'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 Patrick Kuppinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Kuppinger more than expected).
Fields of papers citing papers by Patrick Kuppinger
This network shows the impact of papers produced by Patrick Kuppinger. 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 Patrick Kuppinger. The network helps show where Patrick Kuppinger may publish in the future.
Co-authors
The 4 scholars most cited alongside Patrick Kuppinger, 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 | Block-Sparse Signals: Uncertainty Relations and Efficient Recovery Hit paper breakdown → | 2010 | 986 |
| 2 | 2011 | 117 | |
| 3 | 2011 | 22 | |
| 4 | 2011 | 5 | |
| 5 | 2010 | 3 | |
| 6 | 2014 | 2 | |
| 7 | 2017 | 2 | |
| 8 | 2007 | 1 |
About Patrick Kuppinger
Patrick Kuppinger is a scholar working on Computational Mechanics, Biomedical Engineering, Computer Vision and Pattern Recognition, Finance and Signal Processing, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (5 papers), Image and Signal Denoising Methods (3 papers), Stochastic processes and financial applications (2 papers), Blind Source Separation Techniques (2 papers), Microwave Imaging and Scattering Analysis (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Financial Risk and Volatility Modeling (1 paper) and Insurance, Mortality, Demography, Risk Management (1 paper). The work is most often cited by research in Computational Mechanics (799 citations), Signal Processing (392 citations), Acoustics and Ultrasonics (18 citations), Computer Vision and Pattern Recognition (284 citations) and Computational Mathematics (6 citations). Patrick Kuppinger has collaborated with scholars based in Switzerland, United States and Israel. Frequent co-authors include Helmut Bölcskei, Yonina C. Eldar, Christoph Studer and Giuseppe Durisi. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, Wilmott and SSRN Electronic Journal.
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.