Trayan Stamov
Impact in
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- stochastic dynamics and bifurcation
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
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- Neural Networks Stability and Synchronization 16
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- stochastic dynamics and bifurcation 8
- Co-authors
- Ivanka Stamova (16 shared papers)Xiaodi Li (1 shared paper)Gani Stamov (9 shared papers)А. А. Martynyuk (2 shared papers)Jinde Cao (2 shared papers)Sotir Sotirov (1 shared paper)Evdokia Sotirova (1 shared paper)
- Journals
- Chaos Solitons & Fractals (3 papers)Mathematical Methods in the Applied Sciences (1 paper)Neurocomputing (1 paper)IEEE Access (1 paper)International Journal of Adaptive Control and Signal Processing (1 paper)
- Partner nations
- BulgariaUnited StatesChina
In The Last Decade
Trayan Stamov
21 papers receiving 317 citations
Peers
Comparison fields: 5 of 41
- Statistical and Nonlinear Physics 138
- Modeling and Simulation 52
- Computer Networks and Communications 226
- Control and Systems Engineering 83
- Numerical Analysis 17
Countries citing papers authored by Trayan Stamov
This map shows the geographic impact of Trayan Stamov'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 Trayan Stamov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trayan Stamov more than expected).
Fields of papers citing papers by Trayan Stamov
This network shows the impact of papers produced by Trayan Stamov. 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 Trayan Stamov. The network helps show where Trayan Stamov may publish in the future.
Co-authors
The 7 scholars most cited alongside Trayan Stamov, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 122 | |
| 2 | 2020 | 51 | |
| 3 | 2012 | 23 | |
| 4 | 2021 | 21 | |
| 5 | 2022 | 15 | |
| 6 | 2014 | 13 | |
| 7 | 2020 | 11 | |
| 8 | 2013 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2013 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2021 | 2 | |
| 19 | On the applications of neural networks in industrial design: A survey of the state of the art | 2020 | 2 |
| 20 | 2023 | 2 |
About Trayan Stamov
Trayan Stamov is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology and Control and Systems Engineering, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (16 papers), stochastic dynamics and bifurcation (8 papers), Neural Networks and Applications (7 papers), Fractional Differential Equations Solutions (4 papers), Gene Regulatory Network Analysis (4 papers), Color perception and design (3 papers), Nonlinear Differential Equations Analysis (3 papers) and Stability and Controllability of Differential Equations (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (138 citations), Modeling and Simulation (52 citations), Computer Networks and Communications (226 citations), Control and Systems Engineering (83 citations) and Numerical Analysis (17 citations). Trayan Stamov has collaborated with scholars based in Bulgaria, United States and China. Frequent co-authors include Ivanka Stamova, Xiaodi Li, Gani Stamov, А. А. Martynyuk, Jinde Cao, Sotir Sotirov and Evdokia Sotirova. Their work appears in journals such as Chaos Solitons & Fractals, Mathematical Methods in the Applied Sciences, Neurocomputing, IEEE Access and International Journal of Adaptive Control and Signal Processing.
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.