Karin Schnass
Impact in
- Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques
- Signal Processing top 2%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
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- Sparse and Compressive Sensing Techniques 21
-
- Blind Source Separation Techniques 12
- Co-authors
- Pierre Vandergheynst (10 shared papers)Holger Rauhut (5 shared papers)Rémi Gribonval (7 shared papers)Jan Vybíral (2 shared papers)Massimo Fornasier (1 shared paper)Boris Mailhé (3 shared papers)Pascal Frossard (1 shared paper)
- Journals
- IEEE Signal Processing Letters (3 papers)IEEE Transactions on Signal Processing (2 papers)IEEE Transactions on Information Theory (2 papers)Foundations of Computational Mathematics (1 paper)Journal of Fourier Analysis and Applications (1 paper)
- Partner nations
- SwitzerlandAustriaFrance
In The Last Decade
Karin Schnass
22 papers receiving 753 citations
Peers
Comparison fields: 5 of 61
- Computational Mechanics 621
- Signal Processing 307
- Acoustics and Ultrasonics 21
- Computational Mathematics 8
- Computer Vision and Pattern Recognition 256
Countries citing papers authored by Karin Schnass
This map shows the geographic impact of Karin Schnass'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 Karin Schnass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Schnass more than expected).
Fields of papers citing papers by Karin Schnass
This network shows the impact of papers produced by Karin Schnass. 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 Karin Schnass. The network helps show where Karin Schnass may publish in the future.
Co-authors
The 7 scholars most cited alongside Karin Schnass, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 361 | |
| 2 | 2008 | 99 | |
| 3 | 2010 | 81 | |
| 4 | 2008 | 76 | |
| 5 | 2007 | 47 | |
| 6 | 2012 | 36 | |
| 7 | 2014 | 34 | |
| 8 | 2007 | 13 | |
| 9 | 2008 | 9 | |
| 10 | 2008 | 9 | |
| 11 | 2011 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2010 | 5 | |
| 16 | 2007 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2006 | 1 | |
| 20 | 2008 | 1 |
About Karin Schnass
Karin Schnass is a scholar working on Computational Mechanics, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 22 papers that have together received 804 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (21 papers), Blind Source Separation Techniques (12 papers), Image and Signal Denoising Methods (8 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Microwave Imaging and Scattering Analysis (3 papers), Advanced Image Processing Techniques (2 papers), Machine Learning and Algorithms (2 papers) and Ultrasonics and Acoustic Wave Propagation (2 papers). The work is most often cited by research in Computational Mechanics (621 citations), Signal Processing (307 citations), Acoustics and Ultrasonics (21 citations), Computational Mathematics (8 citations) and Computer Vision and Pattern Recognition (256 citations). Karin Schnass has collaborated with scholars based in Switzerland, Austria and France. Frequent co-authors include Pierre Vandergheynst, Holger Rauhut, Rémi Gribonval, Jan Vybíral, Massimo Fornasier, Boris Mailhé and Pascal Frossard. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, Foundations of Computational Mathematics and Journal of Fourier Analysis and Applications.
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.