Тимур Каримов
Impact in
-
- Chaos control and synchronization
- Quantum chaos and dynamical systems
- stochastic dynamics and bifurcation
-
- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
-
- Chaos control and synchronization 39
- stochastic dynamics and bifurcation 9
- Quantum chaos and dynamical systems 8
-
- Nonlinear Dynamics and Pattern Formation 20
- Co-authors
- Денис Бутусов (52 shared papers)Vyacheslav Rybin (30 shared papers)Артур Каримов (30 shared papers)Александра Тутуева (13 shared papers)Valerii Y. Ostrovskii (16 shared papers)Erivelton G. Nepomuceno (8 shared papers)Dmitrii Kaplun (5 shared papers)Lazaros Moysis (1 shared paper)
In The Last Decade
Тимур Каримов
71 papers receiving 555 citations
Peers
Comparison fields: 5 of 73
- Statistical and Nonlinear Physics 357
- Computer Networks and Communications 176
- Computer Vision and Pattern Recognition 153
- Modeling and Simulation 19
- Artificial Intelligence 100
Countries citing papers authored by Тимур Каримов
This map shows the geographic impact of Тимур Каримов'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 Тимур Каримов with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Тимур Каримов more than expected).
Fields of papers citing papers by Тимур Каримов
This network shows the impact of papers produced by Тимур Каримов. 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 Тимур Каримов. The network helps show where Тимур Каримов may publish in the future.
Co-authors
The 21 scholars most cited alongside Тимур Каримов, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 39 | |
| 2 | 2019 | 30 | |
| 3 | 2020 | 26 | |
| 4 | 2018 | 25 | |
| 5 | 2022 | 25 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2018 | 17 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2017 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2024 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2024 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2025 | 10 | |
| 20 | 2021 | 10 |
About Тимур Каримов
Тимур Каримов is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 74 papers that have together received 572 indexed citations. Recurring topics across this work include Chaos control and synchronization (39 papers), Nonlinear Dynamics and Pattern Formation (20 papers), Neural Networks and Applications (15 papers), Chaos-based Image/Signal Encryption (12 papers), Advanced Memory and Neural Computing (10 papers), stochastic dynamics and bifurcation (9 papers), Quantum chaos and dynamical systems (8 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (357 citations), Computer Networks and Communications (176 citations), Computer Vision and Pattern Recognition (153 citations), Modeling and Simulation (19 citations) and Artificial Intelligence (100 citations). Тимур Каримов has collaborated with scholars based in Russia, Brazil and Ireland. Frequent co-authors include Денис Бутусов, Vyacheslav Rybin, Артур Каримов, Александра Тутуева, Valerii Y. Ostrovskii, Erivelton G. Nepomuceno, Dmitrii Kaplun, Lazaros Moysis, Vyacheslav A. Arlyapov and Christos Volos. Their work appears in journals such as Applied Sciences, Electronics, Nonlinear Dynamics, Sensors and International Journal of Bifurcation and Chaos.
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.