Dmitry Karamzin

883 total citations
61 papers, 523 citations indexed

About

Dmitry Karamzin is a scholar working on Computational Theory and Mathematics, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Dmitry Karamzin has authored 61 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Theory and Mathematics, 37 papers in Aerospace Engineering and 21 papers in Control and Systems Engineering. Recurrent topics in Dmitry Karamzin's work include Optimization and Variational Analysis (45 papers), Aerospace Engineering and Control Systems (36 papers) and Advanced Optimization Algorithms Research (9 papers). Dmitry Karamzin is often cited by papers focused on Optimization and Variational Analysis (45 papers), Aerospace Engineering and Control Systems (36 papers) and Advanced Optimization Algorithms Research (9 papers). Dmitry Karamzin collaborates with scholars based in Russia, Portugal and Brazil. Dmitry Karamzin's co-authors include A. V. Arutyunov, Фернандо Лобо Перейра, Nathalie T. Khalil, Geraldo Nunes Silva, Elena Sofronova, Askhat Diveev, Geraldo Bezerra da Silva and E. R. Avakov and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Differential Equations and SIAM Journal on Control and Optimization.

In The Last Decade

Dmitry Karamzin

54 papers receiving 479 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dmitry Karamzin Russia 15 319 240 214 111 88 61 523
В. Н. Ушаков Russia 12 113 0.4× 98 0.4× 219 1.0× 58 0.5× 44 0.5× 101 434
A. A. Chikriĭ Ukraine 15 128 0.4× 114 0.5× 304 1.4× 161 1.5× 76 0.9× 79 572
Vladimir G. Boltyanski Mexico 10 147 0.5× 150 0.6× 60 0.3× 135 1.2× 36 0.4× 32 466
Robert Baier Germany 11 162 0.5× 152 0.6× 67 0.3× 54 0.5× 134 1.5× 29 368
Evgeny Ya. Rubinovich Russia 7 92 0.3× 188 0.8× 82 0.4× 58 0.5× 35 0.4× 30 321
Ф. М. Кириллова Belarus 7 116 0.4× 149 0.6× 130 0.6× 51 0.5× 73 0.8× 62 393
Valery Y. Glizer Israel 17 144 0.5× 281 1.2× 305 1.4× 178 1.6× 396 4.5× 95 848
Yuri S. Ledyaev United States 8 149 0.5× 486 2.0× 60 0.3× 55 0.5× 66 0.8× 19 652
Frank Lempio Germany 11 241 0.8× 153 0.6× 67 0.3× 67 0.6× 160 1.8× 15 426
Kazimierz Malanowski Poland 16 525 1.6× 191 0.8× 179 0.8× 108 1.0× 303 3.4× 41 831

Countries citing papers authored by Dmitry Karamzin

Since Specialization
Citations

This map shows the geographic impact of Dmitry Karamzin'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 Dmitry Karamzin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Karamzin more than expected).

Fields of papers citing papers by Dmitry Karamzin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry Karamzin. 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 Dmitry Karamzin. The network helps show where Dmitry Karamzin may publish in the future.

Co-authorship network of co-authors of Dmitry Karamzin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Karamzin. A scholar is included among the top collaborators of Dmitry Karamzin 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 Dmitry Karamzin. Dmitry Karamzin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Karamzin, Dmitry, et al.. (2024). One example of a k-order state-constrained control problem. 884–887.
2.
Karamzin, Dmitry. (2023). Normality and second-order optimality conditions in state-constrained optimal control problems with bounded minimizers. Journal of Differential Equations. 366. 378–407. 1 indexed citations
3.
Karamzin, Dmitry & Фернандо Лобо Перейра. (2023). ON NORMALITY IN OPTIMAL CONTROL PROBLEMS WITH STATE CONSTRAINTS. Журнал вычислительной математики и математической физики. 63(6). 937–937. 1 indexed citations
4.
Karamzin, Dmitry & Фернандо Лобо Перейра. (2023). On Normality in Optimal Control Problems with State Constraints. Computational Mathematics and Mathematical Physics. 63(6). 973–989.
5.
Arutyunov, A. V. & Dmitry Karamzin. (2023). On a Class of Control Problems with Mixed Constraints. Differential Equations. 59(4). 529–539. 1 indexed citations
6.
Karamzin, Dmitry & Фернандо Лобо Перейра. (2023). On Higher-Order State Constraints. SIAM Journal on Control and Optimization. 61(4). 1913–1933. 2 indexed citations
7.
Перейра, Фернандо Лобо, et al.. (2022). Regular approximations of time-optimal motion for a tracked mobile robot travelling in a vector flow field under restricted state variables. 2022 IEEE 61st Conference on Decision and Control (CDC). 2. 6812–6817. 1 indexed citations
8.
Karamzin, Dmitry, et al.. (2019). Regular path-constrained time-optimal control problems in three-dimensional flow fields. arXiv (Cornell University). 16 indexed citations
9.
Arutyunov, A. V., et al.. (2018). Second-Order Necessary Optimality Conditions in Optimal Impulsive Control Problems. Differential Equations. 54(8). 1083–1101. 1 indexed citations
10.
Arutyunov, A. V., Dmitry Karamzin, & Фернандо Лобо Перейра. (2018). A Short Survey on Measure-Driven Optimal Control Problems. 15. 79–84.
11.
Arutyunov, A. V., Dmitry Karamzin, & Фернандо Лобо Перейра. (2016). Conditions for the absence of jumps of the solution to the adjoint system of the maximum principle for optimal control problems with state constraints. Proceedings of the Steklov Institute of Mathematics. 292(S1). 27–35. 4 indexed citations
12.
Arutyunov, A. V. & Dmitry Karamzin. (2016). Properties of extremals in optimal control problems with state constraints. Differential Equations. 52(11). 1411–1422. 7 indexed citations
13.
Arutyunov, A. V. & Dmitry Karamzin. (2015). Maximum principle in an optimal control problem with equality state constraints. Differential Equations. 51(1). 33–46. 5 indexed citations
14.
Karamzin, Dmitry, et al.. (2015). On some properties of the shortest curve in a compound domain. Differential Equations. 51(12). 1626–1636. 2 indexed citations
15.
Arutyunov, A. V. & Dmitry Karamzin. (2015). On Some Continuity Properties of the Measure Lagrange Multiplier from the Maximum Principle for State Constrained Problems. SIAM Journal on Control and Optimization. 53(4). 2514–2540. 22 indexed citations
16.
Arutyunov, A. V. & Dmitry Karamzin. (2011). Regular zeros of quadratic maps and their application. Sbornik Mathematics. 202(6). 783–806. 14 indexed citations
17.
Arutyunov, A. V., Dmitry Karamzin, & Фернандо Лобо Перейра. (2011). The Maximum Principle for Optimal Control Problems with State Constraints by R.V. Gamkrelidze: Revisited. Journal of Optimization Theory and Applications. 149(3). 474–493. 64 indexed citations
18.
Arutyunov, A. V., Dmitry Karamzin, & Фернандо Лобо Перейра. (2011). Pontryagin’s maximum principle for constrained impulsive control problems. Nonlinear Analysis. 75(3). 1045–1057. 24 indexed citations
19.
Karamzin, Dmitry. (2006). Necessary conditions of the minimum in an impulse optimal control problem. Journal of Mathematical Sciences. 139(6). 7087–7150. 26 indexed citations
20.
Arutyunov, A. V. & Dmitry Karamzin. (2005). Necessary Conditions for a Weak Minimum in an Optimal Control Problem with Mixed Constraints. Differential Equations. 41(11). 1532–1543. 9 indexed citations

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.

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