Armen Shirikyan
- Finance top 2%
- Stochastic processes and financial applications 22
- Applied Mathematics top 2%
- Navier-Stokes equation solutions 20
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals 10
- Advanced Mathematical Physics Problems 9
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- Stability and Controllability of Differential Equations 29
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- Advanced Mathematical Modeling in Engineering 19
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- Nonlinear Dynamics and Pattern Formation 7
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- Differential Equations and Numerical Methods 6
- Co-authors
- Sergei KuksinVahagn NersesyanL. R. VolevichViorel BarbuSergey ZelikLihu XuEnrico PriolaJerzy Zabczyk
- Partner nations
- FranceRussiaUnited Kingdom
In The Last Decade
Armen Shirikyan
54 papers receiving 793 citations
Peers
Comparison fields: 5 of 42
- Finance 474
- Applied Mathematics 318
- Mathematical Physics 273
- Control and Systems Engineering 419
- Computational Theory and Mathematics 247
Countries citing papers authored by Armen Shirikyan
This map shows the geographic impact of Armen Shirikyan'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 Armen Shirikyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armen Shirikyan more than expected).
Fields of papers citing papers by Armen Shirikyan
This network shows the impact of papers produced by Armen Shirikyan. 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 Armen Shirikyan. The network helps show where Armen Shirikyan may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Armen Shirikyan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2020 | 7 | |
| 3 | 2018 | 23 | |
| 4 | Large Deviations and Fluctuation Theorem for Selectively Decoupled Measures on Shift Spaces | 2017 | 9 |
| 5 | Control theory for the Burgers equation: Agrachev–Sarychev approach | 2017 | 0 |
| 6 | 2017 | 0 | |
| 7 | 2015 | 5 | |
| 8 | 2015 | 9 | |
| 9 | 2014 | 4 | |
| 10 | 2011 | 10 | |
| 11 | 2011 | 35 | |
| 12 | 2010 | 1 | |
| 13 | Internal exponential stabilization for Navier-Stokes equations by means of finite-dimensional distributed controls | 2010 | 1 |
| 14 | 2007 | 16 | |
| 15 | 2004 | 31 | |
| 16 | 2004 | 4 | |
| 17 | 2004 | 17 | |
| 18 | 2002 | 58 | |
| 19 | 2001 | 42 | |
| 20 | Stable and unstable manifolds for nonlinear elliptic equations with parameter | 1999 | 5 |
About Armen Shirikyan
Armen Shirikyan is a scholar working on Applied Mathematics, Mathematical Physics and Finance, having authored 59 papers that have together received 868 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (29 papers), Stochastic processes and financial applications (22 papers), Navier-Stokes equation solutions (20 papers), Advanced Mathematical Modeling in Engineering (19 papers), Mathematical Dynamics and Fractals (10 papers), Advanced Mathematical Physics Problems (9 papers), Nonlinear Dynamics and Pattern Formation (7 papers) and Differential Equations and Numerical Methods (6 papers). The work is most often cited by research in Finance (474 citations), Applied Mathematics (318 citations) and Mathematical Physics (273 citations). Armen Shirikyan has collaborated with scholars based in France, Russia and United Kingdom. Frequent co-authors include Sergei Kuksin, Sergei Kuksin, Vahagn Nersesyan, L. R. Volevich, Viorel Barbu, Sergey Zelik, Lihu Xu, Enrico Priola, Jerzy Zabczyk and Claude‐Alain Pillet.
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.