Dmitry R. Lyamzin
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Sensory Systems top 10%
- Statistical and Nonlinear Physics
- Experimental and Cognitive Psychology
- Co-authors
- Nicholas A. LesicaAndrea BenucciManeesh SahaniMarius PachitariuRyo AokiJakob H. MackeJose A. Garcia‐LazaroR. J. Donato
- Topics
- Neural dynamics and brain function (10 papers)stochastic dynamics and bifurcation (3 papers)Visual perception and processing mechanisms (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- GermanyUnited KingdomJapan
In The Last Decade
Dmitry R. Lyamzin
9 papers receiving 265 citations
Peers
Comparison fields: 5 of 42
- Cognitive Neuroscience 242
- Cellular and Molecular Neuroscience 114
- Sensory Systems 32
- Statistical and Nonlinear Physics 26
- Experimental and Cognitive Psychology 18
Countries citing papers authored by Dmitry R. Lyamzin
This map shows the geographic impact of Dmitry R. Lyamzin'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 R. Lyamzin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry R. Lyamzin more than expected).
Fields of papers citing papers by Dmitry R. Lyamzin
This network shows the impact of papers produced by Dmitry R. Lyamzin. 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 R. Lyamzin. The network helps show where Dmitry R. Lyamzin may publish in the future.
Co-authorship network of co-authors of Dmitry R. Lyamzin
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry R. Lyamzin. A scholar is included among the top collaborators of Dmitry R. Lyamzin 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 R. Lyamzin. Dmitry R. Lyamzin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 73 | |
| 6 | 108 | |
| 7 | 17 | |
| 8 | 28 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 0 |
About Dmitry R. Lyamzin
Dmitry R. Lyamzin is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 266 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), stochastic dynamics and bifurcation (3 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Cognitive Neuroscience (242 citations), Sensory Systems (32 citations) and Cellular and Molecular Neuroscience (114 citations). Dmitry R. Lyamzin has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Nicholas A. Lesica, Andrea Benucci, Maneesh Sahani, Marius Pachitariu, Ryo Aoki, Jakob H. Macke, Jose A. Garcia‐Lazaro, R. J. Donato, Tara Keck and Samuel J. Barnes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.