Andrei Belitski
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- Neuroscience and Music Perception
- Memory and Neural Mechanisms
Papers in
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- Functional Brain Connectivity Studies 2
- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 1
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- Statistical Methods and Applications 1
- Co-authors
- Nikos K. Logothetis (4 shared papers)Cesare Magri (2 shared papers)Stefano Panzeri (2 shared papers)Arthur Gretton (3 shared papers)Yusuke Murayama (3 shared papers)Marcelo A. Montemurro (1 shared paper)Peter Desain (1 shared paper)Jason D. R. Farquhar (1 shared paper)
- Journals
- Magnetic Resonance Imaging (1 paper)Journal of Neural Engineering (1 paper)Journal of Neuroscience (1 paper)Journal of Computational Neuroscience (1 paper)Max Planck Institute for Plasma Physics (1 paper)
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
Andrei Belitski
6 papers receiving 531 citations
Peers
Comparison fields: 5 of 40
- Cognitive Neuroscience 446
- Computational Mathematics 3
- Cellular and Molecular Neuroscience 52
- Statistics and Probability 23
- Sensory Systems 8
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 | 334 | |
| 2 | 2011 | 86 | |
| 3 | 2010 | 69 | |
| 4 | Kernel Constrained Covariance for Dependence Measurement | 2005 | 29 |
| 5 | 2006 | 11 | |
| 6 | Sparse Greedy Minimax Probability Machine Classification | 2003 | 10 |
About Andrei Belitski
Andrei Belitski is a scholar working on Cognitive Neuroscience, Statistics and Probability, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Nuclear Energy and Engineering, having authored 6 papers that have together received 539 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers), EEG and Brain-Computer Interfaces (1 paper), Statistical Methods and Applications (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Machine Learning and Algorithms (1 paper), Advanced MRI Techniques and Applications (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Cognitive Neuroscience (446 citations), Computational Mathematics (3 citations), Cellular and Molecular Neuroscience (52 citations), Statistics and Probability (23 citations) and Sensory Systems (8 citations). Andrei Belitski has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Nikos K. Logothetis, Cesare Magri, Stefano Panzeri, Arthur Gretton, Yusuke Murayama, Marcelo A. Montemurro, Peter Desain, Jason D. R. Farquhar, Christoph Kayser and Bernhard Schölkopf. Their work appears in journals such as Magnetic Resonance Imaging, Journal of Neural Engineering, Journal of Neuroscience, Journal of Computational Neuroscience and Max Planck Institute for Plasma Physics.
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.