Anton Osokin

1.9k total citations
12 papers, 637 citations indexed

About

Anton Osokin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Anton Osokin has authored 12 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Anton Osokin's work include Medical Image Segmentation Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Machine Learning and Algorithms (3 papers). Anton Osokin is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Machine Learning and Algorithms (3 papers). Anton Osokin collaborates with scholars based in Russia, Tajikistan and Canada. Anton Osokin's co-authors include Andrew Delong, Yuri Boykov, Hossam Isack, Stefanie Jegelka, Pushmeet Kohli, Dmitry Vetrov, Olga Veksler, Vladimir Kolmogorov, Alexander Novikov and Dmitry Laptev and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Bulletin of Experimental Biology and Medicine.

In The Last Decade

Anton Osokin

12 papers receiving 616 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anton Osokin Russia 6 451 121 106 103 84 12 637
Hossam Isack Canada 6 581 1.3× 127 1.0× 190 1.8× 166 1.6× 152 1.8× 10 814
Yi Wei China 15 562 1.2× 95 0.8× 128 1.2× 81 0.8× 95 1.1× 31 813
Tan Yu China 12 443 1.0× 209 1.7× 53 0.5× 59 0.6× 97 1.2× 27 652
Kun Sun China 18 594 1.3× 131 1.1× 242 2.3× 52 0.5× 94 1.1× 54 905
A. Agarwala United States 7 586 1.3× 104 0.9× 85 0.8× 28 0.3× 26 0.3× 7 755
Ruihuang Li Hong Kong 12 613 1.4× 307 2.5× 79 0.7× 39 0.4× 43 0.5× 16 777
A. Aydın Alatan Türkiye 17 691 1.5× 81 0.7× 140 1.3× 54 0.5× 75 0.9× 100 921
Yunhang Shen China 16 524 1.2× 248 2.0× 64 0.6× 55 0.5× 53 0.6× 48 725

Countries citing papers authored by Anton Osokin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anton Osokin

This figure shows the co-authorship network connecting the top 25 collaborators of Anton Osokin. A scholar is included among the top collaborators of Anton Osokin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anton Osokin. Anton Osokin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Osokin, Anton, et al.. (2021). SPARQLing Database Queries from Intermediate Question Decompositions. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8984–8998. 5 indexed citations
2.
Osokin, Anton. (2018). DEVELOPMENT OF THE MATHEMATICAL MODEL OF GRANULATED MATERIAL MOVEMENT IN FLAT MATRIX GRANULATOR SPINNERETS. iPolytech Journal. 22(4). 43–61. 2 indexed citations
3.
Novikov, Alexander, et al.. (2014). Putting MRFs on a Tensor Train. International Conference on Machine Learning. 811–819. 8 indexed citations
4.
Osokin, Anton & Dmitry Vetrov. (2014). Submodular Relaxation for Inference in Markov Random Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(7). 1347–1359. 1 indexed citations
5.
Osokin, Anton, et al.. (2013). Statistic Parametric Mapping of Changes in Gene Activity in Animal Brain during Acoustic Stimulation. Bulletin of Experimental Biology and Medicine. 154(5). 697–699. 1 indexed citations
6.
Kohli, Pushmeet, Anton Osokin, & Stefanie Jegelka. (2013). A Principled Deep Random Field Model for Image Segmentation. 1971–1978. 45 indexed citations
7.
Delong, Andrew, Olga Veksler, Anton Osokin, & Yuri Boykov. (2012). Minimizing Sparse High-Order Energies by Submodular Vertex-Cover. 25. 962–970. 10 indexed citations
8.
Osokin, Anton, Dmitry Vetrov, & Vladimir Kolmogorov. (2011). Submodular decomposition framework for inference in associative Markov networks with global constraints. 1889–1896. 9 indexed citations
9.
Delong, Andrew, Anton Osokin, Hossam Isack, & Yuri Boykov. (2011). Fast Approximate Energy Minimization with Label Costs. International Journal of Computer Vision. 96(1). 1–27. 258 indexed citations
10.
Laptev, Dmitry, et al.. (2010). Variational segmentation algorithms with label frequency constraints. Pattern Recognition and Image Analysis. 20(3). 324–334. 4 indexed citations
11.
Delong, Andrew, Anton Osokin, Hossam Isack, & Yuri Boykov. (2010). Fast approximate energy minimization with label costs. 2173–2180. 292 indexed citations
12.
Vetrov, Dmitry, et al.. (2010). Automatic determination of the number of components in the EM algorithm of restoration of a mixture of normal distributions. Computational Mathematics and Mathematical Physics. 50(4). 733–746. 2 indexed citations

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.

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