Nikolay Chumerin

957 citations
32 papers · 630 · h-index 13

Impact in

Papers in

Nikolay Chumerin

31 papers receiving 606 citations

Peers

Nikolay Chumerin
Comparison fields: 5 of 67
  • Cognitive Neuroscience 486
  • Human-Computer Interaction 128
  • Cellular and Molecular Neuroscience 234
  • Signal Processing 66
  • Computational Mathematics 2
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François Cabestaing France
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Young-Eun Lee South Korea
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Nikolay Chumerin

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Chumerin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Nikolay Chumerin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nikolay Chumerin Line = papers co-authored together Nikolay Chumerin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201399
2 201181
3 201257
4 201256
5 202151
6 201140
7 201536
8 201233
9 201431
10 200624
11 200922
12 201015
13
Ground plane estimation based on dense stereo disparity
200814
14 201012
15 201112
16 20098
17 20117
18 20116
19 20074
20 20164

About Nikolay Chumerin

Nikolay Chumerin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 32 papers that have together received 630 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (8 papers), Advanced Memory and Neural Computing (6 papers), Blind Source Separation Techniques (4 papers), Gaze Tracking and Assistive Technology (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (486 citations), Human-Computer Interaction (128 citations), Cellular and Molecular Neuroscience (234 citations), Signal Processing (66 citations) and Computational Mathematics (2 citations). Nikolay Chumerin has collaborated with scholars based in Belgium, Switzerland and Italy. Frequent co-authors include Marc M. Van Hulle, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Johan A. K. Suykens, Rahaf Aljundi, Jiřı́ Matas, Simon De Deyne and Wim Fias. Their work appears in journals such as International Journal of Neural Systems, IEEE Transactions on Intelligent Transportation Systems, Neurocomputing, IEEE Transactions on Biomedical Engineering and Journal of Neural Engineering.

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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