Peter Ochs
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Image and Signal Denoising Methods
- Visual Attention and Saliency Detection
- Medical Image Segmentation Techniques
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- Optimization and Variational Analysis
Papers in
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- Optimization and Variational Analysis 19
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- Video Surveillance and Tracking Methods 6
- Image and Signal Denoising Methods 5
- Medical Image Segmentation Techniques 4
- Co-authors
- Thomas Brox (13 shared papers)Thomas Pock (9 shared papers)Jitendra Malik (1 shared paper)Yunjin Chen (1 shared paper)Alexey Dosovitskiy (3 shared papers)Jalal M. Fadili (8 shared papers)René Ranftl (2 shared papers)Stephen Becker (1 shared paper)
In The Last Decade
Peter Ochs
32 papers receiving 1.6k citations
Peter Ochs's Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 1k
- Computational Theory and Mathematics 434
- Computational Mathematics 8
- Numerical Analysis 53
- Computational Mechanics 211
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-authors
The 25 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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Segmentation of Moving Objects by Long Term Video Analysis Hit paper breakdown → | 2014 | 453 |
| 2 | iPiano: Inertial Proximal Algorithm for Nonconvex Optimization Hit paper breakdown → | 2014 | 330 |
| 3 | 2011 | 172 | |
| 4 | 2015 | 155 | |
| 5 | 2012 | 135 | |
| 6 | 2015 | 88 | |
| 7 | 2013 | 46 | |
| 8 | 2015 | 45 | |
| 9 | 2011 | 42 | |
| 10 | 2020 | 36 | |
| 11 | 2019 | 31 | |
| 12 | 2019 | 30 | |
| 13 | 2018 | 28 | |
| 14 | 2016 | 27 | |
| 15 | 2018 | 20 | |
| 16 | 2016 | 10 | |
| 17 | 2020 | 8 | |
| 18 | 2012 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2019 | 7 |
About Peter Ochs
Peter Ochs is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence, Numerical Analysis and Computational Mechanics, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (19 papers), Stochastic Gradient Optimization Techniques (7 papers), Video Surveillance and Tracking Methods (6 papers), Image and Signal Denoising Methods (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Medical Image Segmentation Techniques (4 papers), Advanced Optimization Algorithms Research (2 papers) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1k citations), Computational Theory and Mathematics (434 citations), Computational Mathematics (8 citations), Numerical Analysis (53 citations) and Computational Mechanics (211 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, Jalal M. Fadili, René Ranftl, Stephen Becker, Shoham Sabach and Olaf Ronneberger. Their work appears in journals such as SIAM Journal on Optimization, SIAM Journal on Imaging Sciences, Journal of Optimization Theory and Applications, Journal of Mathematical Imaging and 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.