Gerd Teschke
Impact in
- Applied Mathematics top 1%
- Mathematical Analysis and Transform Methods
- Mathematical Physics top 5%
- Numerical methods in inverse problems
Papers in
-
- Image and Signal Denoising Methods 26
- Face and Expression Recognition 5
-
- Sparse and Compressive Sensing Techniques 19
- Co-authors
- Ronny Ramlau (8 shared papers)Stephan Dahlke (23 shared papers)Ingrid Daubechies (4 shared papers)Gabriele Steidl (8 shared papers)Luminita A. Vese (2 shared papers)Gitta Kutyniok (2 shared papers)Ingrid Daubechies (1 shared paper)Claudia Borries (1 shared paper)
- Journals
- Inverse Problems (6 papers)Applied and Computational Harmonic Analysis (5 papers)Journal of Fourier Analysis and Applications (5 papers)Advances in Computational Mathematics (3 papers)Annales Geophysicae (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Gerd Teschke
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Applied Mathematics 450
- Mathematical Physics 339
- Computer Vision and Pattern Recognition 624
- Computational Mechanics 480
- Computational Mathematics 13
Countries citing papers authored by Gerd Teschke
This map shows the geographic impact of Gerd Teschke'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 Gerd Teschke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Teschke more than expected).
Fields of papers citing papers by Gerd Teschke
This network shows the impact of papers produced by Gerd Teschke. 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 Gerd Teschke. The network helps show where Gerd Teschke may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerd Teschke, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 123 | |
| 2 | 2007 | 103 | |
| 3 | 2006 | 92 | |
| 4 | 2009 | 85 | |
| 5 | 2008 | 84 | |
| 6 | 2009 | 62 | |
| 7 | 2008 | 60 | |
| 8 | 2010 | 54 | |
| 9 | 2005 | 40 | |
| 10 | 2011 | 36 | |
| 11 | 2006 | 36 | |
| 12 | 2007 | 36 | |
| 13 | 2010 | 32 | |
| 14 | 2004 | 29 | |
| 15 | 2007 | 28 | |
| 16 | 2004 | 26 | |
| 17 | 2001 | 23 | |
| 18 | 2017 | 21 | |
| 19 | 2004 | 20 | |
| 20 | 2008 | 18 |
About Gerd Teschke
Gerd Teschke is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Applied Mathematics, Mathematical Physics and Geophysics, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (26 papers), Mathematical Analysis and Transform Methods (24 papers), Sparse and Compressive Sensing Techniques (19 papers), Numerical methods in inverse problems (14 papers), Seismic Imaging and Inversion Techniques (14 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Medical Imaging Techniques and Applications (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Applied Mathematics (450 citations), Mathematical Physics (339 citations), Computer Vision and Pattern Recognition (624 citations), Computational Mechanics (480 citations) and Computational Mathematics (13 citations). Gerd Teschke has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ronny Ramlau, Stephan Dahlke, Ingrid Daubechies, Gabriele Steidl, Luminita A. Vese, Gitta Kutyniok, Ingrid Daubechies, Claudia Borries, V. Lehmann and Peter Maaß. Their work appears in journals such as Inverse Problems, Applied and Computational Harmonic Analysis, Journal of Fourier Analysis and Applications, Advances in Computational Mathematics and Annales Geophysicae.
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.