Anton Osokin
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Computational Mathematics top 10%
Papers in
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- Advanced Graph Neural Networks 3
- Machine Learning and Algorithms 3
- Bayesian Modeling and Causal Inference 2
- Bayesian Methods and Mixture Models 2
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- Advanced Image and Video Retrieval Techniques 4
- Medical Image Segmentation Techniques 4
- Graph Theory and Algorithms 2
- Co-authors
- Andrew Delong (3 shared papers)Yuri Boykov (3 shared papers)Hossam Isack (2 shared papers)Stefanie Jegelka (1 shared paper)Pushmeet Kohli (1 shared paper)Dmitry Vetrov (6 shared papers)Olga Veksler (1 shared paper)Vladimir Kolmogorov (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Bulletin of Experimental Biology and Medicine (1 paper)Computational Mathematics and Mathematical Physics (1 paper)Pattern Recognition and Image Analysis (1 paper)
- Partner nations
- RussiaTajikistanCanada
In The Last Decade
Anton Osokin
12 papers receiving 616 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 451
- Computational Mathematics 9
- Geology 84
- Computer Graphics and Computer-Aided Design 44
- Environmental Engineering 103
Countries citing papers authored by Anton Osokin
This map shows the geographic impact of Anton Osokin'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 Anton Osokin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Osokin more than expected).
Fields of papers citing papers by Anton Osokin
This network shows the impact of papers produced by Anton Osokin. 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 Anton Osokin. The network helps show where Anton Osokin may publish in the future.
Co-authors
The 12 scholars most cited alongside Anton Osokin, 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 | 2010 | 292 | |
| 2 | 2011 | 258 | |
| 3 | 2013 | 45 | |
| 4 | Minimizing Sparse High-Order Energies by Submodular Vertex-Cover | 2012 | 10 |
| 5 | 2011 | 9 | |
| 6 | Putting MRFs on a Tensor Train | 2014 | 8 |
| 7 | 2021 | 5 | |
| 8 | 2010 | 4 | |
| 9 | 2018 | 2 | |
| 10 | 2010 | 2 | |
| 11 | 2013 | 1 | |
| 12 | 2014 | 1 |
About Anton Osokin
Anton Osokin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Computational Mathematics and Ocean Engineering, having authored 12 papers that have together received 637 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Medical Image Segmentation Techniques (4 papers), Advanced Graph Neural Networks (3 papers), Machine Learning and Algorithms (3 papers), Bayesian Modeling and Causal Inference (2 papers), Graph Theory and Algorithms (2 papers), Gene expression and cancer classification (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (451 citations), Computational Mathematics (9 citations), Geology (84 citations), Computer Graphics and Computer-Aided Design (44 citations) and Environmental Engineering (103 citations). Anton Osokin has collaborated with scholars based in Russia, Tajikistan and Canada. Frequent co-authors include Andrew Delong, Yuri Boykov, Hossam Isack, Stefanie Jegelka, Pushmeet Kohli, Dmitry Vetrov, Olga Veksler, Vladimir Kolmogorov, Alexander Novikov and Dmitry Laptev. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Bulletin of Experimental Biology and Medicine, Computational Mathematics and Mathematical Physics and Pattern Recognition and Image 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.