Ivan Seleznov
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- Balance, Gait, and Falls Prevention
Papers in
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- Neural dynamics and brain function 4
- EEG and Brain-Computer Interfaces 3
- Functional Brain Connectivity Studies 2
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- Complex Systems and Time Series Analysis 6
- Co-authors
- Антон Попов (12 shared papers)Ken Kiyono (12 shared papers)Mariia Chernykh (4 shared papers)Madhur Mangalam (2 shared papers)Damian G. Kelty‐Stephen (2 shared papers)Aaron D. Likens (1 shared paper)Akio Nakata (2 shared papers)В. М. Карташов (1 shared paper)
- Journals
- Applied Sciences (2 papers)Frontiers in Human Neuroscience (2 papers)Scientific Reports (2 papers)PLoS ONE (1 paper)Fractal and Fractional (1 paper)
- Partner nations
- UkraineJapanUnited States
In The Last Decade
Ivan Seleznov
15 papers receiving 263 citations
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 194
- Physical Therapy, Sports Therapy and Rehabilitation 23
- Signal Processing 40
- Cardiology and Cardiovascular Medicine 51
- Experimental and Cognitive Psychology 29
Countries citing papers authored by Ivan Seleznov
This map shows the geographic impact of Ivan Seleznov'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 Ivan Seleznov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Seleznov more than expected).
Fields of papers citing papers by Ivan Seleznov
This network shows the impact of papers produced by Ivan Seleznov. 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 Ivan Seleznov. The network helps show where Ivan Seleznov may publish in the future.
Co-authors
The 16 scholars most cited alongside Ivan Seleznov, 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 | 2019 | 177 | |
| 2 | 2019 | 42 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 9 | |
| 5 | 2020 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2020 | 0 |
About Ivan Seleznov
Ivan Seleznov is a scholar working on Cognitive Neuroscience, Economics and Econometrics, Signal Processing, Control and Systems Engineering and Neurology, having authored 18 papers that have together received 271 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (6 papers), Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (3 papers), Aerospace Engineering and Applications (2 papers), Advanced Measurement and Detection Methods (2 papers), Balance, Gait, and Falls Prevention (2 papers), Functional Brain Connectivity Studies (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Cognitive Neuroscience (194 citations), Physical Therapy, Sports Therapy and Rehabilitation (23 citations), Signal Processing (40 citations), Cardiology and Cardiovascular Medicine (51 citations) and Experimental and Cognitive Psychology (29 citations). Ivan Seleznov has collaborated with scholars based in Ukraine, Japan and United States. Frequent co-authors include Антон Попов, Ken Kiyono, Mariia Chernykh, Madhur Mangalam, Damian G. Kelty‐Stephen, Aaron D. Likens, Akio Nakata, В. М. Карташов, Riccardo Pernice and Momoko Kayaba. Their work appears in journals such as Applied Sciences, Frontiers in Human Neuroscience, Scientific Reports, PLoS ONE and Fractal and Fractional.
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.