Tanja Teuber
Impact in
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Medical Image Segmentation Techniques
- Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques
Papers in
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- Mathematical Approximation and Integration 2
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- Numerical methods in inverse problems 4
- Co-authors
- Gabriele SteidlSimon SetzerAnnika LangRaymond H. ChanChristian SchmaltzTobias BüehrenOliver FindlNino Hirnschall
- Journals
- SIAM Journal on Imaging Sciences (1 paper)Journal of Cataract & Refractive Surgery (1 paper)Computational Statistics & Data Analysis (1 paper)IEEE Transactions on Image Processing (1 paper)Journal of Mathematical Imaging and Vision (1 paper)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Tanja Teuber
16 papers receiving 722 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 492
- Computational Mechanics 404
- Media Technology 146
- Mathematical Physics 116
- Numerical Analysis 47
Countries citing papers authored by Tanja Teuber
This map shows the geographic impact of Tanja Teuber'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 Tanja Teuber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Teuber more than expected).
Fields of papers citing papers by Tanja Teuber
This network shows the impact of papers produced by Tanja Teuber. 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 Tanja Teuber. The network helps show where Tanja Teuber may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Tanja Teuber, 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 | 2017 | 52 | |
| 2 | 2014 | 1 | |
| 3 | 2013 | 0 | |
| 4 | 2013 | 41 | |
| 5 | 2012 | 23 | |
| 6 | 2012 | 4 | |
| 7 | 2012 | 35 | |
| 8 | Anisotropic Smoothing and Image Restoration Facing Non-Gaussian Noise | 2012 | 1 |
| 9 | 2011 | 23 | |
| 10 | 2011 | 31 | |
| 11 | 2011 | 7 | |
| 12 | 2011 | 70 | |
| 13 | 2009 | 2 | |
| 14 | 2009 | 1 | |
| 15 | 2009 | 213 | |
| 16 | 2009 | 246 | |
| 17 | 2008 | 12 |
About Tanja Teuber
Tanja Teuber is a scholar working on Numerical Analysis, Mathematical Physics, Computer Vision and Pattern Recognition, Computational Mechanics and Applied Mathematics, having authored 17 papers that have together received 762 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Numerical methods in inverse problems (4 papers), Statistical and numerical algorithms (2 papers), Neural dynamics and brain function (2 papers), Medical Image Segmentation Techniques (2 papers), Neuroscience and Neural Engineering (2 papers) and Mathematical Approximation and Integration (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (492 citations), Computational Mechanics (404 citations), Media Technology (146 citations), Mathematical Physics (116 citations) and Numerical Analysis (47 citations). Tanja Teuber has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Gabriele Steidl, Simon Setzer, Annika Lang, Gabriele Steidl, Raymond H. Chan, Christian Schmaltz, Gabriele Steidl, Tobias Büehren, Oliver Findl and Nino Hirnschall. Their work appears in journals such as SIAM Journal on Imaging Sciences, Journal of Cataract & Refractive Surgery, Computational Statistics & Data Analysis, IEEE Transactions on Image Processing and Journal of Mathematical Imaging and Vision.
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.