Nikita Orlov

52 total papers · 853 total citations
17 papers, 398 citations indexed

About

Nikita Orlov is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Nikita Orlov has authored 17 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Mechanics. Recurrent topics in Nikita Orlov's work include Precipitation Measurement and Analysis (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (3 papers). Nikita Orlov is often cited by papers focused on Precipitation Measurement and Analysis (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (3 papers). Nikita Orlov collaborates with scholars based in United States, Russia and India. Nikita Orlov's co-authors include Humphrey Shi, Jiachen Li, Jitesh Jain, Ali Hassani, Yu. A. Eremin, V.I. Rozenberg, Anu Singh, Zilong Huang, Steven Walton and V. A. Kulikov and has published in prestigious journals such as IEEE Transactions on Image Processing, Computer Physics Communications and Computer Vision and Image Understanding.

In The Last Decade

Nikita Orlov

16 papers receiving 391 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nikita Orlov 245 90 48 37 33 17 398
Mohsen Ali 183 0.7× 121 1.3× 29 0.6× 37 1.0× 20 0.6× 37 391
Xiusheng Lu 368 1.5× 44 0.5× 38 0.8× 52 1.4× 11 0.3× 14 392
Chao Zhang 125 0.5× 83 0.9× 19 0.4× 78 2.1× 17 0.5× 46 363
Fabrice Mériaudeau 246 1.0× 45 0.5× 98 2.0× 62 1.7× 10 0.3× 22 416
Jitesh Jain 220 0.9× 73 0.8× 22 0.5× 37 1.0× 47 1.4× 21 405
Yiming Zhao 257 1.0× 70 0.8× 21 0.4× 71 1.9× 6 0.2× 27 423
Jose L. Pech-Pacheco 170 0.7× 31 0.3× 43 0.9× 21 0.6× 69 2.1× 13 402
Xianxiang Huang 133 0.5× 38 0.4× 23 0.5× 18 0.5× 13 0.4× 37 350
Xiong Wang 102 0.4× 72 0.8× 43 0.9× 11 0.3× 104 3.2× 17 370
Hooman Kaabi 99 0.4× 44 0.5× 55 1.1× 78 2.1× 14 0.4× 24 398

Countries citing papers authored by Nikita Orlov

Since Specialization
Citations

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

Fields of papers citing papers by Nikita Orlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikita Orlov

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

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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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