M. G. Mozerov

872 total citations
63 papers, 501 citations indexed

About

M. G. Mozerov is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, M. G. Mozerov has authored 63 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 22 papers in Media Technology and 8 papers in Aerospace Engineering. Recurrent topics in M. G. Mozerov's work include Advanced Vision and Imaging (22 papers), Image and Signal Denoising Methods (17 papers) and Advanced Image Processing Techniques (14 papers). M. G. Mozerov is often cited by papers focused on Advanced Vision and Imaging (22 papers), Image and Signal Denoising Methods (17 papers) and Advanced Image Processing Techniques (14 papers). M. G. Mozerov collaborates with scholars based in Russia, Spain and Mexico. M. G. Mozerov's co-authors include Joost van de Weijer, В. Н. Карнаухов, Jordi Gonzàlez, Fei Yang, Vitaly Kober, Yongmei Cheng, Luis Herranz, Andrew D. Bagdanov, Xavier Roca and Josué Álvarez-Borrego and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Neurocomputing.

In The Last Decade

M. G. Mozerov

55 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. G. Mozerov Russia 11 435 181 50 32 30 63 501
Yan Yuan China 11 179 0.4× 123 0.7× 80 1.6× 19 0.6× 20 0.7× 65 369
Naejin Kong South Korea 6 574 1.3× 149 0.8× 27 0.5× 13 0.4× 45 1.5× 7 707
A.D. Brink South Africa 7 414 1.0× 156 0.9× 26 0.5× 17 0.5× 72 2.4× 9 540
Mauricio Delbracio United States 10 609 1.4× 258 1.4× 51 1.0× 12 0.4× 29 1.0× 25 696
Javier Sánchez Spain 11 467 1.1× 102 0.6× 76 1.5× 9 0.3× 35 1.2× 39 612
Tianfan Xue Hong Kong 14 551 1.3× 151 0.8× 59 1.2× 8 0.3× 56 1.9× 36 640
Xiuqin Su China 11 114 0.3× 69 0.4× 27 0.5× 30 0.9× 19 0.6× 75 386
Jiangxin Dong China 16 735 1.7× 443 2.4× 23 0.5× 13 0.4× 37 1.2× 26 845
Yuehuan Wang China 11 287 0.7× 137 0.8× 105 2.1× 8 0.3× 35 1.2× 68 428
Wujing Li China 9 312 0.7× 296 1.6× 40 0.8× 7 0.2× 61 2.0× 31 553

Countries citing papers authored by M. G. Mozerov

Since Specialization
Citations

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

Fields of papers citing papers by M. G. Mozerov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. G. Mozerov. 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 M. G. Mozerov. The network helps show where M. G. Mozerov may publish in the future.

Co-authorship network of co-authors of M. G. Mozerov

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

All Works

20 of 20 papers shown
1.
Chen, Qingshan, et al.. (2024). MSSA: Multispectral Semantic Alignment for Cross-Modality Infrared-RGB Person Reidentification. IEEE Transactions on Computational Social Systems. 11(6). 7568–7583. 1 indexed citations
2.
Yang, Fei, et al.. (2024). A continuous digital elevation representation model for DEM super-resolution. ISPRS Journal of Photogrammetry and Remote Sensing. 208. 1–13. 15 indexed citations
3.
Makovetskii, Artyom, et al.. (2024). Hybrid Neural Network for Classification of Mammography Images. Journal of Communications Technology and Electronics. 69(1-3). 1–6. 1 indexed citations
4.
Makovetskii, Artyom, et al.. (2023). Global Refinement Algorithm for 3D Scene Reconstruction from a Sequence of Point Clouds. Journal of Communications Technology and Electronics. 68(12). 1499–1505.
5.
Chen, Qingshan, et al.. (2023). An Unsupervised Domain Adaption Approach for Cross-Modality RGB-Infrared Person Re-Identification. IEEE Sensors Journal. 23(24). 31399–31413.
6.
Yao, Shun, Fei Yang, Yongmei Cheng, & M. G. Mozerov. (2021). 3D Shapes Local Geometry Codes Learning with SDF. 2110–2117. 10 indexed citations
7.
Kober, Vitaly, et al.. (2020). Algorithm for Three-Dimensional Reconstruction of Nonrigid Objects Using a Depth Camera. Journal of Communications Technology and Electronics. 65(6). 698–705. 4 indexed citations
8.
Yang, Fei, Yongmei Cheng, Joost van de Weijer, & M. G. Mozerov. (2020). Improved Discrete Optical Flow Estimation With Triple Image Matching Cost. IEEE Access. 8. 17093–17102. 1 indexed citations
9.
Карнаухов, В. Н. & M. G. Mozerov. (2018). Artefact suppression in multispectral images degraded by motion blur and restored by Wiener filtering. 1. 56–56. 1 indexed citations
10.
Mozerov, M. G. & Joost van de Weijer. (2017). Improved Recursive Geodesic Distance Computation for Edge Preserving Filter. IEEE Transactions on Image Processing. 26(8). 3696–3706. 10 indexed citations
11.
Карнаухов, В. Н. & M. G. Mozerov. (2016). Motion blur estimation based on multitarget matching model. Optical Engineering. 55(10). 100502–100502. 6 indexed citations
12.
Mozerov, M. G. & Joost van de Weijer. (2015). Global Color Sparseness and a Local Statistics Prior for Fast Bilateral Filtering. IEEE Transactions on Image Processing. 24(12). 5842–5853. 29 indexed citations
13.
Mozerov, M. G.. (2013). Constrained Optical Flow Estimation as a Matching Problem. IEEE Transactions on Image Processing. 22(5). 2044–2055. 30 indexed citations
14.
Mozerov, M. G., et al.. (2011). Accurate Moving Cast Shadow Suppression Based on Local Color Constancy Detection. IEEE Transactions on Image Processing. 20(10). 2954–2966. 49 indexed citations
15.
Mozerov, M. G., et al.. (2009). Trinocular stereo matching with composite disparity space image. 2089–2092. 13 indexed citations
16.
Mozerov, M. G., et al.. (2009). Solving the multi object occlusion problem in a multiple camera tracking system. Pattern Recognition and Image Analysis. 19(1). 165–171. 9 indexed citations
17.
Mozerov, M. G., et al.. (2008). Background subtraction technique based on chromaticity and intensity patterns. Proceedings - International Conference on Pattern Recognition. 5960. 1–4. 12 indexed citations
18.
Chakraborty, Bhaskar, et al.. (2007). Component-based human detection. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 1 indexed citations
19.
Mozerov, M. G., Vitaly Kober, & Tae‐Sun Choi. (2003). Noise Removal from Highly Corrupted Color Images with Adaptive Neighborhoods. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(10). 2713–2717. 6 indexed citations
20.
Kober, Vitaly, et al.. (2001). <title>Image enhancement using nonlinear filters with spatially adaptive neighborhoods</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4472. 508–517. 1 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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