Nikolay Chumerin

951 total citations
32 papers, 622 citations indexed

About

Nikolay Chumerin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Nikolay Chumerin has authored 32 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Nikolay Chumerin's work include EEG and Brain-Computer Interfaces (20 papers), Neural dynamics and brain function (12 papers) and Neuroscience and Neural Engineering (9 papers). Nikolay Chumerin is often cited by papers focused on EEG and Brain-Computer Interfaces (20 papers), Neural dynamics and brain function (12 papers) and Neuroscience and Neural Engineering (9 papers). Nikolay Chumerin collaborates with scholars based in Belgium, Switzerland and Czechia. Nikolay Chumerin's 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, Jan R. Wiersema and Gert Storms and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Nikolay Chumerin

31 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolay Chumerin Belgium 13 492 262 133 100 80 32 622
François Cabestaing France 6 600 1.2× 307 1.2× 154 1.2× 126 1.3× 42 0.5× 15 703
Mostafa-Sami M. Mostafa Egypt 5 326 0.7× 157 0.6× 66 0.5× 95 0.9× 45 0.6× 14 470
Nicholas R. Waytowich United States 14 457 0.9× 218 0.8× 97 0.7× 194 1.9× 151 1.9× 44 710
Young-Eun Lee South Korea 12 496 1.0× 197 0.8× 106 0.8× 149 1.5× 73 0.9× 28 683
Dong-Ok Won South Korea 12 487 1.0× 190 0.7× 114 0.9× 97 1.0× 140 1.8× 46 751
Jinfu Yang China 12 274 0.6× 124 0.5× 59 0.4× 73 0.7× 84 1.1× 34 420
Amar R. Marathe United States 13 295 0.6× 109 0.4× 46 0.3× 47 0.5× 77 1.0× 28 499
Vincent Guigue France 6 367 0.7× 165 0.6× 75 0.6× 106 1.1× 77 1.0× 20 468

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-authorship network of co-authors of Nikolay Chumerin

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Chumerin. A scholar is included among the top collaborators of Nikolay Chumerin 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 Nikolay Chumerin. Nikolay Chumerin 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.
Chumerin, Nikolay, et al.. (2024). OOD Aware Supervised Contrastive Learning. 1945–1955. 3 indexed citations
2.
Aljundi, Rahaf, et al.. (2023). Contrastive Classification and Representation Learning with Probabilistic Interpretation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6675–6683. 3 indexed citations
3.
Aljundi, Rahaf, et al.. (2022). Identifying Wrongly Predicted Samples: A Method for Active Learning. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3. 2071–2079. 1 indexed citations
4.
Vliet, Marijn van, Nikolay Chumerin, Simon De Deyne, et al.. (2015). Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer. IEEE Transactions on Biomedical Engineering. 63(1). 55–66. 36 indexed citations
5.
Manyakov, Nikolay V., et al.. (2014). Language Model Applications to Spelling with Brain-Computer Interfaces. Sensors. 14(4). 5967–5993. 31 indexed citations
6.
Manyakov, Nikolay V., Nikolay Chumerin, Arne Robben, et al.. (2013). Sampled sinusoidal stimulation profile and multichannel fuzzy logic classification for monitor-based phase-coded SSVEP brain–computer interfacing. Journal of Neural Engineering. 10(3). 36011–36011. 97 indexed citations
7.
Manyakov, Nikolay V., Nikolay Chumerin, & Marc M. Van Hulle. (2012). MULTICHANNEL DECODING FOR PHASE-CODED SSVEP BRAIN–COMPUTER INTERFACE. International Journal of Neural Systems. 22(5). 1250022–1250022. 32 indexed citations
8.
Vliet, Marijn van, Arne Robben, Nikolay Chumerin, et al.. (2012). Designing a brain-computer interface controlled video-game using consumer grade EEG hardware. Lirias (KU Leuven). 1–6. 57 indexed citations
9.
Chumerin, Nikolay, Nikolay V. Manyakov, Marijn van Vliet, et al.. (2012). Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG Device. IEEE Transactions on Computational Intelligence and AI in Games. 5(2). 100–110. 55 indexed citations
10.
Manyakov, Nikolay V., Nikolay Chumerin, Adrien Combaz, & Marc M. Van Hulle. (2011). Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. Computational Intelligence and Neuroscience. 2011. 1–12. 81 indexed citations
11.
Manyakov, Nikolay V., Nikolay Chumerin, Adrien Combaz, & Marc M. Van Hulle. (2011). COMPARISON OF LINEAR CLASSIFICATION METHODS FOR P300 BRAIN-COMPUTER INTERFACE ON DISABLED SUBJECTS. 328–334. 1 indexed citations
12.
Manyakov, Nikolay V., Nikolay Chumerin, Adrien Combaz, et al.. (2011). Brain-computer interface research at Katholieke Universiteit Leuven. Lirias (KU Leuven). 1–5. 7 indexed citations
13.
Combaz, Adrien, Nikolay Chumerin, Nikolay V. Manyakov, et al.. (2010). Error-related potential recorded by EEG in the context of a p300 mind speller brain-computer interface. Lirias (KU Leuven). 65–70. 15 indexed citations
14.
Chumerin, Nikolay, Agostino Gibaldi, Silvio P. Sabatini, & Marc M. Van Hulle. (2010). LEARNING EYE VERGENCE CONTROL FROM A DISTRIBUTED DISPARITY REPRESENTATION. International Journal of Neural Systems. 20(4). 267–278. 12 indexed citations
15.
Chumerin, Nikolay, Nikolay V. Manyakov, Adrien Combaz, & Marc M. Van Hulle. (2009). Feature Selection and Feature Extraction Approaches to P300 Detection in On-line Brain-Computer Interface. Lirias (KU Leuven). 1 indexed citations
16.
Manyakov, Nikolay V., et al.. (2009). Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. Lirias (KU Leuven). 110. 386–391. 22 indexed citations
17.
Chumerin, Nikolay, Agostino Gibaldi, Silvio P. Sabatini, & Marc M. Van Hulle. (2009). Convolutional network for vergence control. IRIS UNIMORE (University of Modena and Reggio Emilia). 18. 1–6. 1 indexed citations
18.
Chumerin, Nikolay, Nikolay V. Manyakov, Adrien Combaz, Johan A. K. Suykens, & Marc M. Van Hulle. (2009). An application of feature selection to on-line P300 detection in brain-computer interface. Lirias (KU Leuven). 13. 1–6. 8 indexed citations
19.
Chumerin, Nikolay & Marc M. Van Hulle. (2008). Ground plane estimation based on dense stereo disparity. Lirias (KU Leuven). 14 indexed citations
20.
Chumerin, Nikolay & Marc M. Van Hulle. (2007). An Approach to On-Road Vehicle Detection, Description and Tracking. Lirias (KU Leuven). 1. 265–269. 4 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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