Thomas Pöck
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Media Technology top 0.1%
Papers in
-
- Advanced Vision and Imaging 58
- Medical Image Segmentation Techniques 52
- Advanced Image Processing Techniques 39
- Image and Signal Denoising Methods 24
- Advanced Image and Video Retrieval Techniques 13
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- Sparse and Compressive Sensing Techniques 43
- Co-authors
- Antonin Chambolle (21 shared papers)Horst Bischof (49 shared papers)Yunjin Chen (7 shared papers)Christopher Zach (5 shared papers)Kristian Bredies (7 shared papers)Daniel Cremers (21 shared papers)Karl K. Kunisch (5 shared papers)Florian Johannes Knoll (15 shared papers)
- Journals
- SIAM Journal on Imaging Sciences (12 papers)Journal of Mathematical Imaging and Vision (9 papers)Lecture notes in computer science (49 papers)International Journal of Computer Vision (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Thomas Pöck
188 papers receiving 16.9k citations
Thomas Pöck's Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Vision and Pattern Recognition 9.9k
- Media Technology 2.2k
- Computational Mechanics 4.8k
- Numerical Analysis 1.1k
- Mathematical Physics 1.5k
Countries citing papers authored by Thomas Pöck
This map shows the geographic impact of Thomas Pöck'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 Thomas Pöck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Pöck more than expected).
Fields of papers citing papers by Thomas Pöck
This network shows the impact of papers produced by Thomas Pöck. 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 Thomas Pöck. The network helps show where Thomas Pöck may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Pöck, 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 198 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging Hit paper breakdown → | 2010 | 3007 |
| 2 | A Duality Based Approach for Realtime TV-L 1 Optical Flow Hit paper breakdown → | 2007 | 1281 |
| 3 | Learning a variational network for reconstruction of accelerated MRI data Hit paper breakdown → | 2017 | 1220 |
| 4 | Total Generalized Variation Hit paper breakdown → | 2010 | 1151 |
| 5 | Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration Hit paper breakdown → | 2016 | 1024 |
| 6 | Second order total generalized variation (TGV) for MRI Hit paper breakdown → | 2010 | 486 |
| 7 | An introduction to continuous optimization for imaging Hit paper breakdown → | 2016 | 336 |
| 8 | 2009 | 330 | |
| 9 | 2010 | 318 | |
| 10 | An Inertial Forward-Backward Algorithm for Monotone Inclusions Hit paper breakdown → | 2014 | 310 |
| 11 | iPiano: Inertial Proximal Algorithm for Nonconvex Optimization Hit paper breakdown → | 2014 | 309 |
| 12 | 2009 | 308 | |
| 13 | 2011 | 293 | |
| 14 | On the ergodic convergence rates of a first-order primal–dual algorithm Hit paper breakdown → | 2015 | 262 |
| 15 | 2020 | 260 | |
| 16 | 2009 | 238 | |
| 17 | 2015 | 220 | |
| 18 | 2009 | 216 | |
| 19 | 2010 | 202 | |
| 20 | 2007 | 185 |
About Thomas Pöck
Thomas Pöck is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design and Media Technology, having authored 198 papers that have together received 17.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (58 papers), Medical Image Segmentation Techniques (52 papers), Sparse and Compressive Sensing Techniques (43 papers), Advanced Image Processing Techniques (39 papers), Image and Signal Denoising Methods (24 papers), Medical Imaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (14 papers) and Advanced Image and Video Retrieval Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.9k citations), Media Technology (2.2k citations), Computational Mechanics (4.8k citations), Numerical Analysis (1.1k citations) and Mathematical Physics (1.5k citations). Thomas Pöck has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Antonin Chambolle, Horst Bischof, Yunjin Chen, Christopher Zach, Kristian Bredies, Daniel Cremers, Karl K. Kunisch, Florian Johannes Knoll, Kerstin Hammernik and Daniel K. Sodickson. Their work appears in journals such as SIAM Journal on Imaging Sciences, Journal of Mathematical Imaging and Vision, Lecture notes in computer science, International Journal of Computer Vision and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.