Alexander Volkovskii
- Statistical and Nonlinear Physics top 1%
- Cognitive Neuroscience top 2%
- Computer Networks and Communications top 2%
- Cellular and Molecular Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- M. I. RabinovichHenry D. I. AbarbanelLev S. TsimringGilles LaurentM. M. SushchikNikolai F. RulkovRamón HuertaH.D.I. Abarbanel
- Topics
- Chaos control and synchronization (13 papers)Nonlinear Dynamics and Pattern Formation (10 papers)Neural dynamics and brain function (9 papers)
- Partner nations
- United StatesRussiaSpain
In The Last Decade
Alexander Volkovskii
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 84
- Statistical and Nonlinear Physics 773
- Cognitive Neuroscience 693
- Computer Networks and Communications 522
- Cellular and Molecular Neuroscience 442
- Electrical and Electronic Engineering 365
Countries citing papers authored by Alexander Volkovskii
This map shows the geographic impact of Alexander Volkovskii'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 Alexander Volkovskii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Volkovskii more than expected).
Fields of papers citing papers by Alexander Volkovskii
This network shows the impact of papers produced by Alexander Volkovskii. 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 Alexander Volkovskii. The network helps show where Alexander Volkovskii may publish in the future.
Co-authorship network of co-authors of Alexander Volkovskii
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Volkovskii. A scholar is included among the top collaborators of Alexander Volkovskii 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 Alexander Volkovskii. Alexander Volkovskii 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 | 4 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 38 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 44 | |
| 10 | 1 | |
| 11 | 276 | |
| 12 | Multi-User Communication using Chaotic Frequency Modulation | 4 |
| 13 | 19 | |
| 14 | 83 | |
| 15 | 64 | |
| 16 | 26 | |
| 17 | 138 | |
| 18 | 8 | |
| 19 | 14 | |
| 20 | Synchronous chaotic response of a nonlinear oscillator system as a principle for the detection of the information component of chaos | 39 |
About Alexander Volkovskii
Alexander Volkovskii is a scholar working on Statistical and Nonlinear Physics, Radiation and Cognitive Neuroscience, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chaos control and synchronization (13 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (773 citations), Sensory Systems (217 citations) and Cognitive Neuroscience (693 citations). Alexander Volkovskii has collaborated with scholars based in United States, Russia and Spain. Frequent co-authors include M. I. Rabinovich, Henry D. I. Abarbanel, Lev S. Tsimring, Gilles Laurent, M. M. Sushchik, Nikolai F. Rulkov, Ramón Huerta, H.D.I. Abarbanel, Mark Stopfer and Rainer W. Friedrich. Their work appears in journals such as Physical Review Letters, Annual Review of Neuroscience and Physics Letters A.
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.