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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- Image and Signal Denoising Methods 6
- Medical Image Segmentation Techniques 2
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- Sparse and Compressive Sensing Techniques 7
- Co-authors
- Gabriele Steidl (7 shared papers)Simon Setzer (5 shared papers)Annika Lang (1 shared paper)Gabriele Steidl (2 shared papers)Raymond H. Chan (1 shared paper)Christian Schmaltz (2 shared papers)Gabriele Steidl (4 shared papers)Tobias Büehren (1 shared paper)
In The Last Decade
Tanja Teuber
16 papers receiving 738 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 498
- Computational Mechanics 407
- Media Technology 144
- Mathematical Physics 118
- Numerical Analysis 49
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-authors
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 | 2009 | 248 | |
| 2 | 2009 | 218 | |
| 3 | 2011 | 69 | |
| 4 | 2017 | 56 | |
| 5 | 2013 | 43 | |
| 6 | 2012 | 35 | |
| 7 | 2011 | 33 | |
| 8 | 2011 | 24 | |
| 9 | 2012 | 23 | |
| 10 | 2008 | 12 | |
| 11 | 2011 | 7 | |
| 12 | 2012 | 4 | |
| 13 | 2009 | 2 | |
| 14 | 2014 | 1 | |
| 15 | 2009 | 1 | |
| 16 | Anisotropic Smoothing and Image Restoration Facing Non-Gaussian Noise | 2012 | 1 |
| 17 | 2013 | 0 |
About Tanja Teuber
Tanja Teuber is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Mathematical Physics, Numerical Analysis and Cognitive Neuroscience, having authored 17 papers that have together received 777 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), Mathematical Approximation and Integration (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced Optimization Algorithms Research (2 papers), Neuroscience and Neural Engineering (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (498 citations), Computational Mechanics (407 citations), Media Technology (144 citations), Mathematical Physics (118 citations) and Numerical Analysis (49 citations). Tanja Teuber has collaborated with scholars based in Germany, Austria and Hong Kong. Frequent co-authors include Gabriele Steidl, Simon Setzer, Annika Lang, Gabriele Steidl, Raymond H. Chan, Christian Schmaltz, Gabriele Steidl, Tobias Büehren, Nino Hirnschall and Oliver Findl. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Visual Communication and Image Representation, Communications in Mathematical Sciences, Journal of Cataract & Refractive Surgery and Computational Statistics & Data Analysis.
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.