Sergey Zagoruyko

12.6k total citations
9 papers, 226 citations indexed

About

Sergey Zagoruyko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Sergey Zagoruyko has authored 9 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Sergey Zagoruyko's work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Vision and Imaging (2 papers). Sergey Zagoruyko is often cited by papers focused on Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Vision and Imaging (2 papers). Sergey Zagoruyko collaborates with scholars based in France, Slovakia and Czechia. Sergey Zagoruyko's co-authors include Nikos Komodakis, Maria Vakalopoulou, Κωνσταντίνος Καράντζαλος, Ivan Laptev, Eugene Belilovsky, Simon Lacoste-Julien, Justin Carpentier, Dian Chen, Edouard Oyallon and Mathieu Aubry and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Computer Vision and Image Understanding.

In The Last Decade

Sergey Zagoruyko

9 papers receiving 219 citations

Peers

Sergey Zagoruyko

CVPR

AI

MT

AE

CSE

Zexi Chen China

Lingyan Ran China

Xiaoxue Feng China

Marcelo Saval-Calvo Spain

Xianzhi Li China

Yingying Kong China

Hao Chang China

Zhenyu Xiong China

Abdenour Amamra Algeria

Zexi Chen China

Sergey Zagoruyko

108 ×0.8

CVPR

43 ×0.9

AI

35 ×0.8

MT

118 ×3.1

AE

25 ×0.8

CSE

Citations per year, relative to Sergey Zagoruyko Sergey Zagoruyko (= 1×) peers Zexi Chen

Countries citing papers authored by Sergey Zagoruyko

Since Specialization

Citations

This map shows the geographic impact of Sergey Zagoruyko'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 Sergey Zagoruyko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Zagoruyko more than expected).

Fields of papers citing papers by Sergey Zagoruyko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey Zagoruyko. 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 Sergey Zagoruyko. The network helps show where Sergey Zagoruyko may publish in the future.

Co-authorship network of co-authors of Sergey Zagoruyko

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Zagoruyko. A scholar is included among the top collaborators of Sergey Zagoruyko 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 Sergey Zagoruyko. Sergey Zagoruyko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Laptev, Ivan, et al.. (2024). PairDETR : Joint Detection and Association of Human Bodies and Faces. 423–432. 1 indexed citations

2.

Tokmakov, Pavel, et al.. (2023). Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. 17928–17938. 34 indexed citations

3.

Pini, Stefano, et al.. (2023). Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts. 10069–10075. 16 indexed citations

4.

Labbé, Yann, Sergey Zagoruyko, Ivan Laptev, et al.. (2019). Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement\n Planning. arXiv (Cornell University). 45 indexed citations

5.

Hu, Shell Xu, Sergey Zagoruyko, & Nikos Komodakis. (2019). Exploring weight symmetry in deep neural networks. Computer Vision and Image Understanding. 187. 102786–102786. 15 indexed citations

6.

Oyallon, Edouard, Sergey Zagoruyko, Nikos Komodakis, et al.. (2018). Scattering Networks for Hybrid Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9). 2208–2221. 40 indexed citations

7.

Zagoruyko, Sergey & Nikos Komodakis. (2017). Deep compare: A study on using convolutional neural networks to compare image patches. Computer Vision and Image Understanding. 164. 38–55. 25 indexed citations

8.

Vakalopoulou, Maria, et al.. (2016). BENCHMARKING DEEP LEARNING FRAMEWORKS FOR THE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE MULTISPECTRAL DATA. SHILAP Revista de lepidopterología. III-7. 83–88. 38 indexed citations

9.

Zagoruyko, Sergey, et al.. (2016). Depth Camera Based on Color-Coded Aperture. 26. 910–918. 12 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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