Dimitri Yatsenko
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
- Visual perception and processing mechanisms 3
- EEG and Brain-Computer Interfaces 3
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- Neuroscience and Neural Engineering 3
- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 2
- Sensory Systems top 5%
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques 3
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- Muscle activation and electromyography studies 2
- Co-authors
- Andreas S. ToliasEmmanouil FroudarakisCathryn R. CadwellGeorge H. DenfieldJacob ReimerR. CottonAlexander S. EckerK. Shane Guillory
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Dimitri Yatsenko
12 papers receiving 731 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 605
- Cellular and Molecular Neuroscience 363
- Sensory Systems 78
- Biophysics 25
- Endocrine and Autonomic Systems 18
Countries citing papers authored by Dimitri Yatsenko
This map shows the geographic impact of Dimitri Yatsenko'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 Dimitri Yatsenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitri Yatsenko more than expected).
Fields of papers citing papers by Dimitri Yatsenko
This network shows the impact of papers produced by Dimitri Yatsenko. 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 Dimitri Yatsenko. The network helps show where Dimitri Yatsenko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dimitri Yatsenko, 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 | 1 | |
| 2 | 2020 | 39 | |
| 3 | 2020 | 4 | |
| 4 | Stimulus domain transfer in recurrent models for large scale cortical population prediction on video | 2018 | 2 |
| 5 | 2018 | 5 | |
| 6 | Strong functional connectivity of parvalbumin-expressing cortical interneurons | 2016 | 1 |
| 7 | 2015 | 66 | |
| 8 | Pupil Fluctuations Track Fast Switching of Cortical States during Quiet Wakefulnessbreakdown → | 2014 | 445 |
| 9 | 2014 | 113 | |
| 10 | 2009 | 1 | |
| 11 | 2008 | 10 | |
| 12 | 2007 | 49 |
About Dimitri Yatsenko
Dimitri Yatsenko is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 12 papers that have together received 736 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (3 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Neuroscience and Neural Engineering (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Muscle activation and electromyography studies (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (605 citations), Cellular and Molecular Neuroscience (363 citations) and Sensory Systems (78 citations). Dimitri Yatsenko has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Andreas S. Tolias, Emmanouil Froudarakis, Cathryn R. Cadwell, George H. Denfield, Jacob Reimer, R. Cotton, Alexander S. Ecker, K. Shane Guillory, Philipp Berens and Matthias Bethge. Their work appears in journals such as Neuron, PLoS Computational Biology, Nature Neuroscience, Journal of Computational Neuroscience and Nature Protocols.
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.