В. А. Пономарев
- Algebra and Number Theory top 5%
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 50
- Neural and Behavioral Psychology Studies 28
- Neural dynamics and brain function 27
- Functional Brain Connectivity Studies 24
- Neuroscience and Music Perception 5
- Geometry and Topology top 1%
- Psychiatry and Mental health top 5%
- Attention Deficit Hyperactivity Disorder 16
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- Blind Source Separation Techniques 7
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- Multisensory perception and integration 4
В. А. Пономарев
93 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Algebra and Number Theory 333
- Cognitive Neuroscience 1.2k
- Geometry and Topology 415
- Discrete Mathematics and Combinatorics 100
- Psychiatry and Mental health 385
Countries citing papers authored by В. А. Пономарев
This map shows the geographic impact of В. А. Пономарев'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 В. А. Пономарев with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites В. А. Пономарев more than expected).
Fields of papers citing papers by В. А. Пономарев
This network shows the impact of papers produced by В. А. Пономарев. 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 В. А. Пономарев. The network helps show where В. А. Пономарев may publish in the future.
Co-authorship network
The 25 scholars most cited alongside В. А. Пономарев, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2016 | 0 | |
| 7 | 2016 | 81 | |
| 8 | [Analysis of independent components for event-related potentials from patients with an established diagnosis of schizophrenia, obsessive-compulsive and depressive disorders]. | 2015 | 1 |
| 9 | 2015 | 1 | |
| 10 | 2011 | 3 | |
| 11 | 2010 | 114 | |
| 12 | 2001 | 6 | |
| 13 | 2001 | 4 | |
| 14 | 1992 | 12 | |
| 15 | 1992 | 12 | |
| 16 | 1990 | 14 | |
| 17 | Generalization of discrete Fourier transform for interpolation in time domain | 1984 | 4 |
| 18 | 1981 | 5 | |
| 19 | [Work capacity of women after treatment for breast cancer]. | 1977 | 1 |
| 20 | 1969 | 53 |
About В. А. Пономарев
В. А. Пономарев is a scholar working on Cognitive Neuroscience, Computational Mathematics and Psychiatry and Mental health, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (50 papers), Neural and Behavioral Psychology Studies (28 papers), Neural dynamics and brain function (27 papers), Functional Brain Connectivity Studies (24 papers), Attention Deficit Hyperactivity Disorder (16 papers), Blind Source Separation Techniques (7 papers), Neuroscience and Music Perception (5 papers) and Multisensory perception and integration (4 papers). The work is most often cited by research in Algebra and Number Theory (333 citations), Cognitive Neuroscience (1.2k citations) and Geometry and Topology (415 citations). В. А. Пономарев has collaborated with scholars based in Russia, Norway and Poland. Frequent co-authors include Juri D. Kropotov, I. M. Gel'fand, Vera A. Grin-Yatsenko, I. N. Bernstein, Andreas Mueller, Ineke Baas, Gian Candrian, Gian-Marco Baschera, Andreas Müller and Л С Чутко. Their work appears in journals such as International Journal of Psychophysiology, Clinical Neurophysiology, Psychophysiology, Russian Mathematical Surveys and Electroencephalography and Clinical Neurophysiology.
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.