Thomas Pock
- Computer Vision and Pattern Recognition top 0.05%
- Medical Image Segmentation Techniques 35
- Advanced Vision and Imaging 34
- Advanced Image Processing Techniques 16
- Image and Signal Denoising Methods 11
- Numerical Analysis top 0.5%
- Computational Mechanics top 0.1%
- Sparse and Compressive Sensing Techniques 31
- Media Technology top 0.1%
- Mathematical Physics top 0.5%
- Numerical methods in inverse problems 12
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- Medical Imaging Techniques and Applications 18
- Advanced MRI Techniques and Applications 13
- Co-authors
- Antonin ChambolleYunjin ChenHorst BischofKristian BrediesKarl KunischFlorian KnöllDaniel CremersKerstin Hammernik
- Journals
- SIAM Journal on Imaging Sciences (10 papers)Journal of Mathematical Imaging and Vision (7 papers)International Journal of Computer Vision (4 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Thomas Pock
136 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 6.2k
- Numerical Analysis 981
- Computational Mechanics 3.7k
- Media Technology 1.6k
- Mathematical Physics 1.2k
Countries citing papers authored by Thomas Pock
This map shows the geographic impact of Thomas Pock'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 Pock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Pock more than expected).
Fields of papers citing papers by Thomas Pock
This network shows the impact of papers produced by Thomas Pock. 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 Pock. The network helps show where Thomas Pock may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Pock, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRIbreakdown → | 2023 | 69 |
| 4 | 2023 | 7 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 33 | |
| 9 | 2020 | 16 | |
| 10 | 2019 | 6 | |
| 11 | 2018 | 112 | |
| 12 | External Quality Control of Semen Analysis Reveals Low Compliance with WHO Guidelines | 2018 | 7 |
| 13 | Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow | 2018 | 2 |
| 14 | Adaptive Fista | 2017 | 1 |
| 15 | Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization | 2016 | 3 |
| 16 | An accelerated forward-backward algorithm for monotone inclusions. | 2014 | 7 |
| 17 | Learning $\ell_1$-based analysis and synthesis sparsity priors using bi-level optimization | 2012 | 13 |
| 18 | Variational Optical Flow from Alternate Exposure Images | 2009 | 3 |
| 19 | Advanced Data Terms for Variational Optic Flow Estimation | 2009 | 19 |
| 20 | 2004 | 6 |
About Thomas Pock
Thomas Pock is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Numerical Analysis and Mathematical Physics, having authored 138 papers that have together received 12.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (35 papers), Advanced Vision and Imaging (34 papers), Sparse and Compressive Sensing Techniques (31 papers), Medical Imaging Techniques and Applications (18 papers), Advanced Image Processing Techniques (16 papers), Advanced MRI Techniques and Applications (13 papers), Numerical methods in inverse problems (12 papers) and Image and Signal Denoising Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.2k citations), Numerical Analysis (981 citations), Computational Mechanics (3.7k citations), Media Technology (1.6k citations) and Mathematical Physics (1.2k citations). Thomas Pock has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Antonin Chambolle, Yunjin Chen, Horst Bischof, Kristian Bredies, Karl Kunisch, Florian Knöll, Daniel Cremers, Kerstin Hammernik, Daniel K. Sodickson and Erich Kobler. Their work appears in journals such as SIAM Journal on Imaging Sciences, Journal of Mathematical Imaging and Vision, International Journal of Computer Vision, Magnetic Resonance in Medicine 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.