Dmitry Kobak
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
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- Single-cell and spatial transcriptomics 8
- Gene Regulatory Network Analysis 4
- Gene expression and cancer classification 2
-
- Neural dynamics and brain function 8
- Co-authors
- Philipp Berens (11 shared papers)Ariel Karlinsky (1 shared paper)Christian K. Machens (3 shared papers)Naoshige Uchida (2 shared papers)Jan Lause (3 shared papers)Wieland Brendel (1 shared paper)Claudia E. Feierstein (1 shared paper)Christos Constantinidis (1 shared paper)
- Journals
- eLife (4 papers)Nature Communications (3 papers)Journal of Neuroscience (2 papers)Patterns (2 papers)Genome biology (1 paper)
- Partner nations
- GermanyUnited StatesPortugal
In The Last Decade
Dmitry Kobak
25 papers receiving 2.1k citations
Dmitry Kobak's Hit Papers
Peers
Comparison fields: 5 of 166
- Cognitive Neuroscience 659
- Biophysics 182
- Modeling and Simulation 100
- Cellular and Molecular Neuroscience 388
- Neurology 117
Countries citing papers authored by Dmitry Kobak
This map shows the geographic impact of Dmitry Kobak'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 Dmitry Kobak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Kobak more than expected).
Fields of papers citing papers by Dmitry Kobak
This network shows the impact of papers produced by Dmitry Kobak. 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 Dmitry Kobak. The network helps show where Dmitry Kobak may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitry Kobak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The art of using t-SNE for single-cell transcriptomics Hit paper breakdown → | 2019 | 643 |
| 2 | Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset Hit paper breakdown → | 2021 | 368 |
| 3 | Demixed principal component analysis of neural population data Hit paper breakdown → | 2016 | 323 |
| 4 | 2020 | 185 | |
| 5 | 2016 | 154 | |
| 6 | 2019 | 98 | |
| 7 | 2021 | 75 | |
| 8 | 2021 | 60 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 34 | |
| 11 | 2025 | 28 | |
| 12 | 2024 | 27 | |
| 13 | 2020 | 20 | |
| 14 | 2012 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2024 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2022 | 12 | |
| 20 | 2016 | 12 |
About Dmitry Kobak
Dmitry Kobak is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence and Statistics and Probability, having authored 26 papers that have together received 2.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (4 papers), Gene Regulatory Network Analysis (4 papers), Benford’s Law and Fraud Detection (3 papers), Cell Image Analysis Techniques (3 papers), Neuroscience and Neural Engineering (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cognitive Neuroscience (659 citations), Biophysics (182 citations), Modeling and Simulation (100 citations), Cellular and Molecular Neuroscience (388 citations) and Neurology (117 citations). Dmitry Kobak has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Philipp Berens, Ariel Karlinsky, Christian K. Machens, Naoshige Uchida, Jan Lause, Wieland Brendel, Claudia E. Feierstein, Christos Constantinidis, Ranulfo Romo and Zachary F. Mainen. Their work appears in journals such as eLife, Nature Communications, Journal of Neuroscience, Patterns and Genome biology.
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.