Darya Chyzhyk
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Neural dynamics and brain function 8
- Functional Brain Connectivity Studies 7
- EEG and Brain-Computer Interfaces 2
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- Face and Expression Recognition 3
- Co-authors
- Manuel Graña (14 shared papers)Alexandre Savio (5 shared papers)Gaël Varoquaux (2 shared papers)Bertrand Thirion (2 shared papers)Kamalaker Dadi (1 shared paper)Milham Michael (1 shared paper)Alexandre Abraham (1 shared paper)Mehdi Rahim (1 shared paper)
- Journals
- Neurocomputing (5 papers)Frontiers in Aging Neuroscience (2 papers)International Journal of Neural Systems (2 papers)Information Sciences (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- SpainUnited StatesPoland
In The Last Decade
Darya Chyzhyk
17 papers receiving 626 citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 362
- Neurology 83
- Radiology, Nuclear Medicine and Imaging 162
- Experimental and Cognitive Psychology 81
- Computational Mathematics 3
Countries citing papers authored by Darya Chyzhyk
This map shows the geographic impact of Darya Chyzhyk'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 Darya Chyzhyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darya Chyzhyk more than expected).
Fields of papers citing papers by Darya Chyzhyk
This network shows the impact of papers produced by Darya Chyzhyk. 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 Darya Chyzhyk. The network helps show where Darya Chyzhyk may publish in the future.
Co-authors
The 22 scholars most cited alongside Darya Chyzhyk, 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 | 212 | |
| 2 | 2013 | 64 | |
| 3 | 2015 | 63 | |
| 4 | 2015 | 63 | |
| 5 | 2011 | 39 | |
| 6 | 2022 | 36 | |
| 7 | 2015 | 27 | |
| 8 | 2010 | 26 | |
| 9 | 2014 | 24 | |
| 10 | 2017 | 20 | |
| 11 | 2015 | 18 | |
| 12 | 2017 | 14 | |
| 13 | 2013 | 11 | |
| 14 | 2016 | 6 | |
| 15 | 2014 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2012 | 3 | |
| 18 | 2025 | 0 |
About Darya Chyzhyk
Darya Chyzhyk is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 634 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Face and Expression Recognition (3 papers), Blind Source Separation Techniques (3 papers), EEG and Brain-Computer Interfaces (2 papers), Remote-Sensing Image Classification (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Cognitive Neuroscience (362 citations), Neurology (83 citations), Radiology, Nuclear Medicine and Imaging (162 citations), Experimental and Cognitive Psychology (81 citations) and Computational Mathematics (3 citations). Darya Chyzhyk has collaborated with scholars based in Spain, United States and Poland. Frequent co-authors include Manuel Graña, Alexandre Savio, Gaël Varoquaux, Bertrand Thirion, Kamalaker Dadi, Milham Michael, Alexandre Abraham, Mehdi Rahim, Döst Öngür and Ann K. Shinn. Their work appears in journals such as Neurocomputing, Frontiers in Aging Neuroscience, International Journal of Neural Systems, Information Sciences and IEEE Transactions on Neural Networks and Learning 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.