Vladimir Maksimenko
- Cognitive Neuroscience top 1%
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Alexander E. HramovAlexander N. PisarchikNikita FrolovА. А. КороновскийVadim GrubovAnastasiya E. RunnovaV. V. MakarovSemen Kurkin
- Topics
- Neural dynamics and brain function (65 papers)EEG and Brain-Computer Interfaces (60 papers)Nonlinear Dynamics and Pattern Formation (25 papers)
In The Last Decade
Vladimir Maksimenko
127 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 128
- Cognitive Neuroscience 1.5k
- Computer Networks and Communications 473
- Statistical and Nonlinear Physics 383
- Artificial Intelligence 266
- Cellular and Molecular Neuroscience 226
Countries citing papers authored by Vladimir Maksimenko
This map shows the geographic impact of Vladimir Maksimenko'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 Vladimir Maksimenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Maksimenko more than expected).
Fields of papers citing papers by Vladimir Maksimenko
This network shows the impact of papers produced by Vladimir Maksimenko. 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 Vladimir Maksimenko. The network helps show where Vladimir Maksimenko may publish in the future.
Co-authorship network of co-authors of Vladimir Maksimenko
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Maksimenko. A scholar is included among the top collaborators of Vladimir Maksimenko 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 Vladimir Maksimenko. Vladimir Maksimenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 23 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 39 | |
| 15 | 69 | |
| 16 | 86 | |
| 17 | 2 | |
| 18 | 47 | |
| 19 | 2 | |
| 20 | 0 |
About Vladimir Maksimenko
Vladimir Maksimenko is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 139 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (65 papers), EEG and Brain-Computer Interfaces (60 papers) and Nonlinear Dynamics and Pattern Formation (25 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Statistical and Nonlinear Physics (383 citations) and Health Informatics (31 citations). Vladimir Maksimenko has collaborated with scholars based in Russia, Spain and Germany. Frequent co-authors include Alexander E. Hramov, Alexander N. Pisarchik, Nikita Frolov, А. А. Короновский, Vadim Grubov, Anastasiya E. Runnova, V. V. Makarov, Semen Kurkin, Elena Pitsik and В. В. Макаров. Their work appears in journals such as Physical Review Letters, PLoS ONE and Scientific Reports.
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.