Ivan Tyukin
Impact in
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- stochastic dynamics and bifurcation
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
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- Neural Networks and Applications 21
- Machine Learning and Algorithms 8
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- Adaptive Control of Nonlinear Systems 15
- Advanced Control Systems Optimization 15
- Control Systems and Identification 5
- Co-authors
- Danil Prokhorov (17 shared papers)Alexander N. Gorban (39 shared papers)Cees van Leeuwen (29 shared papers)Erik Steur (15 shared papers)Henk Nijmeijer (14 shared papers)Evgeny M. Mirkes (8 shared papers)Valeri A. Makarov (6 shared papers)Qinghua Zhou (9 shared papers)
- Journals
- Information Sciences (6 papers)Neural Networks (4 papers)IEEE Transactions on Automatic Control (2 papers)Scientific Reports (2 papers)Neural Computation (2 papers)
- Partner nations
- United KingdomRussiaJapan
In The Last Decade
Ivan Tyukin
97 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 134
- Statistical and Nonlinear Physics 220
- Cognitive Neuroscience 266
- Control and Systems Engineering 321
- Artificial Intelligence 421
- Computer Vision and Pattern Recognition 207
Countries citing papers authored by Ivan Tyukin
This map shows the geographic impact of Ivan Tyukin'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 Ivan Tyukin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Tyukin more than expected).
Fields of papers citing papers by Ivan Tyukin
This network shows the impact of papers produced by Ivan Tyukin. 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 Ivan Tyukin. The network helps show where Ivan Tyukin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Tyukin, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 177 | |
| 2 | 2009 | 115 | |
| 3 | 2015 | 100 | |
| 4 | 2007 | 79 | |
| 5 | 2009 | 70 | |
| 6 | 2013 | 68 | |
| 7 | 2018 | 41 | |
| 8 | 2018 | 41 | |
| 9 | 2003 | 41 | |
| 10 | 2003 | 40 | |
| 11 | 2019 | 38 | |
| 12 | 2022 | 34 | |
| 13 | 2017 | 32 | |
| 14 | 2011 | 27 | |
| 15 | 2017 | 25 | |
| 16 | 2004 | 25 | |
| 17 | 2009 | 20 | |
| 18 | 2007 | 17 | |
| 19 | 2003 | 17 | |
| 20 | 2014 | 16 |
About Ivan Tyukin
Ivan Tyukin is a scholar working on Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 109 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Neural dynamics and brain function (21 papers), Adaptive Control of Nonlinear Systems (15 papers), Advanced Control Systems Optimization (15 papers), stochastic dynamics and bifurcation (13 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Machine Learning and Algorithms (8 papers) and Control Systems and Identification (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (220 citations), Cognitive Neuroscience (266 citations), Control and Systems Engineering (321 citations), Artificial Intelligence (421 citations) and Computer Vision and Pattern Recognition (207 citations). Ivan Tyukin has collaborated with scholars based in United Kingdom, Russia and Japan. Frequent co-authors include Danil Prokhorov, Alexander N. Gorban, Cees van Leeuwen, Erik Steur, Henk Nijmeijer, Evgeny M. Mirkes, Valeri A. Makarov, Qinghua Zhou, Shuihua Wang and Xiang Yu. Their work appears in journals such as Information Sciences, Neural Networks, IEEE Transactions on Automatic Control, Scientific Reports and Neural Computation.
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.