Peter Ochs
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- Advanced Vision and Imaging 5
- Medical Image Segmentation Techniques 3
- Advanced Image Processing Techniques 2
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research 9
- Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques 11
- Mathematical Physics top 5%
- Numerical methods in inverse problems 4
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- Optimization and Variational Analysis 5
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- Stochastic Gradient Optimization Techniques 2
Peter Ochs
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 762
- Numerical Analysis 161
- Computational Mechanics 379
- Mathematical Physics 133
- Computational Mathematics 8
Countries citing papers authored by Peter Ochs
This map shows the geographic impact of Peter Ochs'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 Peter Ochs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ochs more than expected).
Fields of papers citing papers by Peter Ochs
This network shows the impact of papers produced by Peter Ochs. 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 Peter Ochs. The network helps show where Peter Ochs may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Peter Ochs, 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 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 3 | |
| 6 | Model Function Based Conditional Gradient Method with Armijo-like Line Search | 2019 | 2 |
| 7 | Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms | 2019 | 3 |
| 8 | 2019 | 26 | |
| 9 | 2018 | 1 | |
| 10 | Adaptive Fista | 2017 | 1 |
| 11 | 2016 | 20 | |
| 12 | Long Term Motion Analysis for Object Level Grouping and Nonsmooth Optimization Methods | 2015 | 6 |
| 13 | 2015 | 130 | |
| 14 | 2015 | 78 | |
| 15 | Segmentation of Moving Objects by Long Term Video Analysisbreakdown → | 2014 | 362 |
| 16 | An iteratively reweighted Algorithm for Non-smooth Non-convex Optimization in Computer Vision | 2014 | 1 |
| 17 | iPiano: Inertial Proximal Algorithm for Nonconvex Optimizationbreakdown → | 2014 | 249 |
| 18 | 2013 | 40 | |
| 19 | 2011 | 40 | |
| 20 | Multiview Deblurring for 3-D Images from Light Sheet based Fluorescence Microscopy - Supporting Online Material | 2011 | 1 |
About Peter Ochs
Peter Ochs is a scholar working on Computational Mathematics, Numerical Analysis, Computational Mechanics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (11 papers), Advanced Optimization Algorithms Research (9 papers), Optimization and Variational Analysis (5 papers), Advanced Vision and Imaging (5 papers), Numerical methods in inverse problems (4 papers), Medical Image Segmentation Techniques (3 papers), Advanced Image Processing Techniques (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (762 citations), Numerical Analysis (161 citations), Computational Mechanics (379 citations), Mathematical Physics (133 citations) and Computational Mathematics (8 citations). Peter Ochs has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Thomas Brox, Thomas Pock, Jitendra Malik, Yunjin Chen, Alexey Dosovitskiy, H. Bürkhardt, Wolfgang Driever, Olaf Ronneberger, René Ranftl and Jalal Fadili. Their work appears in journals such as SIAM Journal on Imaging Sciences, Journal of Mathematical Imaging and Vision, SIAM Journal on Optimization, Computational Optimization and Applications and IEEE Transactions on Image Processing.
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.