Andrei Belitski
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Visual perception and processing mechanisms
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Neural dynamics and brain function 5
- EEG and Brain-Computer Interfaces 3
- Functional Brain Connectivity Studies 3
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- Neuroscience and Neural Engineering 2
- Co-authors
- Nikos K. Logothetis (4 shared papers)Stefano Panzeri (2 shared papers)Cesare Magri (2 shared papers)Yusuke Murayama (3 shared papers)Arthur Gretton (3 shared papers)Marcelo A. Montemurro (1 shared paper)Jason Farquhar (1 shared paper)Peter Desain (1 shared paper)
- Journals
- Journal of Neural Engineering (1 paper)Magnetic Resonance Imaging (1 paper)Journal of Computational Neuroscience (1 paper)Journal of Neuroscience (1 paper)neural information processing systems (1 paper)
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
Andrei Belitski
7 papers receiving 487 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 432
- Cellular and Molecular Neuroscience 198
- Human-Computer Interaction 21
- Signal Processing 34
- Sensory Systems 13
Countries citing papers authored by Andrei Belitski
This map shows the geographic impact of Andrei Belitski'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 Andrei Belitski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Belitski more than expected).
Fields of papers citing papers by Andrei Belitski
This network shows the impact of papers produced by Andrei Belitski. 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 Andrei Belitski. The network helps show where Andrei Belitski may publish in the future.
Co-authors
The 18 scholars most cited alongside Andrei Belitski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 302 | |
| 2 | 2011 | 82 | |
| 3 | 2010 | 64 | |
| 4 | Kernel Constrained Covariance for Dependence Measurement | 2005 | 24 |
| 5 | 2006 | 11 | |
| 6 | Sparse Greedy Minimax Probability Machine Classification | 2003 | 7 |
| 7 | Sparse Greedy Minimax Probability Machine Classification ; CU-CS-956-03 | 2003 | 1 |
About Andrei Belitski
Andrei Belitski is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 7 papers that have together received 491 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), EEG and Brain-Computer Interfaces (3 papers), Functional Brain Connectivity Studies (3 papers), Neuroscience and Neural Engineering (2 papers), Imbalanced Data Classification Techniques (1 paper), Machine Learning and Algorithms (1 paper), Neural Networks and Applications (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Cognitive Neuroscience (432 citations), Cellular and Molecular Neuroscience (198 citations), Human-Computer Interaction (21 citations), Signal Processing (34 citations) and Sensory Systems (13 citations). Andrei Belitski has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Nikos K. Logothetis, Stefano Panzeri, Cesare Magri, Yusuke Murayama, Arthur Gretton, Marcelo A. Montemurro, Jason Farquhar, Peter Desain, Christoph Kayser and Bernhard Schölkopf. Their work appears in journals such as Journal of Neural Engineering, Magnetic Resonance Imaging, Journal of Computational Neuroscience, Journal of Neuroscience and neural information processing systems.
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.