Dmitry Kobak
- Molecular Biology
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Biophysics top 2%
- Oncology
- Co-authors
- Philipp BerensAriel KarlinskyChristian K. MachensNaoshige UchidaÁdám KepecsWieland BrendelZachary F. MainenRanulfo Romo
- Topics
- Neural dynamics and brain function (8 papers)Single-cell and spatial transcriptomics (8 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Journals
- NatureNature CommunicationsNeuron
- Partner nations
- GermanyUnited StatesPortugal
In The Last Decade
Dmitry Kobak
25 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 686
- Cognitive Neuroscience 639
- Cellular and Molecular Neuroscience 385
- Biophysics 189
- Oncology 169
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-authorship network of co-authors of Dmitry Kobak
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Kobak. A scholar is included among the top collaborators of Dmitry Kobak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitry Kobak. Dmitry Kobak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 11 | |
| 4 | 22 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 70 | |
| 9 | 56 | |
| 10 | 173 | |
| 11 | 32 | |
| 12 | 19 | |
| 13 | 92 | |
| 14 | The art of using t-SNE for single-cell transcriptomicsbreakdown → | 609 |
| 15 | 12 | |
| 16 | Implicit ridge regularization provided by the minimum-norm least squares estimator when $n\ll p$ | 1 |
| 17 | Demixed principal component analysis of neural population databreakdown → | 311 |
| 18 | 146 | |
| 19 | 12 | |
| 20 | 14 |
About Dmitry Kobak
Dmitry Kobak is a scholar working on Health Informatics, Statistics and Probability and Biophysics, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Single-cell and spatial transcriptomics (8 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (639 citations), Biophysics (189 citations) and Modeling and Simulation (140 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, Ádám Kepecs, Wieland Brendel, Zachary F. Mainen, Ranulfo Romo, Claudia E. Feierstein and Christos Constantinidis. Their work appears in journals such as Nature, Nature Communications and Neuron.
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.