Yuri Maistrenko
- Computer Networks and Communications top 0.2%
- Statistical and Nonlinear Physics top 0.2%
- Cognitive Neuroscience top 1%
- Biomedical Engineering top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Tomasz KapitaniakErik MosekildeBogdan PenkovskyOleh E. Omel’chenkoEckehard SchöllLaurent LargerPeter A. TassIryna Omelchenko
- Topics
- Nonlinear Dynamics and Pattern Formation (62 papers)Chaos control and synchronization (30 papers)Slime Mold and Myxomycetes Research (19 papers)
In The Last Decade
Yuri Maistrenko
66 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Networks and Communications 3.8k
- Statistical and Nonlinear Physics 2.3k
- Cognitive Neuroscience 1.4k
- Biomedical Engineering 1.3k
- Atomic and Molecular Physics, and Optics 353
Countries citing papers authored by Yuri Maistrenko
This map shows the geographic impact of Yuri Maistrenko'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 Yuri Maistrenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Maistrenko more than expected).
Fields of papers citing papers by Yuri Maistrenko
This network shows the impact of papers produced by Yuri Maistrenko. 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 Yuri Maistrenko. The network helps show where Yuri Maistrenko may publish in the future.
Co-authorship network of co-authors of Yuri Maistrenko
This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Maistrenko. A scholar is included among the top collaborators of Yuri Maistrenko 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 Yuri Maistrenko. Yuri Maistrenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 9 | |
| 3 | 69 | |
| 4 | 73 | |
| 5 | 26 | |
| 6 | 135 | |
| 7 | 87 | |
| 8 | 195 | |
| 9 | 79 | |
| 10 | 99 | |
| 11 | 241 | |
| 12 | 17 | |
| 13 | 153 | |
| 14 | 105 | |
| 15 | 32 | |
| 16 | 19 | |
| 17 | 12 | |
| 18 | 117 | |
| 19 | 35 | |
| 20 | 54 |
About Yuri Maistrenko
Yuri Maistrenko is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 67 papers that have together received 4.6k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (62 papers), Chaos control and synchronization (30 papers) and Slime Mold and Myxomycetes Research (19 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.3k citations), Computer Networks and Communications (3.8k citations) and Cognitive Neuroscience (1.4k citations). Yuri Maistrenko has collaborated with scholars based in Ukraine, Germany and Poland. Frequent co-authors include Tomasz Kapitaniak, Erik Mosekilde, Bogdan Penkovsky, Oleh E. Omel’chenko, Eckehard Schöll, Laurent Larger, Peter A. Tass, Iryna Omelchenko, Serhiy Yanchuk and Philipp Hövel. Their work appears in journals such as Physical Review Letters, Nature Communications 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.