Yu. G. Evtushenko

1.1k total citations
74 papers, 538 citations indexed

About

Yu. G. Evtushenko is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Yu. G. Evtushenko has authored 74 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Numerical Analysis, 30 papers in Computational Theory and Mathematics and 12 papers in Control and Systems Engineering. Recurrent topics in Yu. G. Evtushenko's work include Advanced Optimization Algorithms Research (37 papers), Optimization and Variational Analysis (14 papers) and Iterative Methods for Nonlinear Equations (13 papers). Yu. G. Evtushenko is often cited by papers focused on Advanced Optimization Algorithms Research (37 papers), Optimization and Variational Analysis (14 papers) and Iterative Methods for Nonlinear Equations (13 papers). Yu. G. Evtushenko collaborates with scholars based in Russia, Poland and Montenegro. Yu. G. Evtushenko's co-authors include Mikhail Posypkin, V. I. Zubov, S. A. Lurie, Larisa Rybak, Yury Solyaev, А. А. Тretyakov, A. M. Rubinov, Michael Khachay, Igor Kaporin and Е. Е. Тыртышников and has published in prestigious journals such as Journal of Optimization Theory and Applications, Lecture notes in computer science and Journal of Global Optimization.

In The Last Decade

Yu. G. Evtushenko

61 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu. G. Evtushenko Russia 13 284 234 119 73 69 74 538
Hande Y. Benson United States 13 221 0.8× 208 0.9× 167 1.4× 49 0.7× 45 0.7× 23 511
Giovanni Fasano Italy 16 249 0.9× 333 1.4× 74 0.6× 159 2.2× 136 2.0× 61 684
Giampaolo Liuzzi Italy 17 350 1.2× 452 1.9× 151 1.3× 219 3.0× 118 1.7× 58 836
Frédéric Messine France 13 111 0.4× 204 0.9× 170 1.4× 27 0.4× 57 0.8× 71 547
Liansheng Zhang China 13 299 1.1× 298 1.3× 167 1.4× 172 2.4× 46 0.7× 45 582
Jiawei Chen China 14 133 0.5× 282 1.2× 91 0.8× 34 0.5× 105 1.5× 67 571
Jan-J. Rückmann Germany 14 403 1.4× 459 2.0× 206 1.7× 30 0.4× 72 1.0× 33 683
Roman G. Strongin Russia 12 400 1.4× 366 1.6× 131 1.1× 175 2.4× 84 1.2× 25 648
B. N. Pshenichnyĭ Ukraine 11 307 1.1× 418 1.8× 159 1.3× 36 0.5× 82 1.2× 69 882
Xingsi Li China 9 141 0.5× 159 0.7× 66 0.6× 34 0.5× 39 0.6× 28 347

Countries citing papers authored by Yu. G. Evtushenko

Since Specialization
Citations

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

Fields of papers citing papers by Yu. G. Evtushenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. G. Evtushenko. 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 Yu. G. Evtushenko. The network helps show where Yu. G. Evtushenko may publish in the future.

Co-authorship network of co-authors of Yu. G. Evtushenko

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. G. Evtushenko. A scholar is included among the top collaborators of Yu. G. Evtushenko 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 Yu. G. Evtushenko. Yu. G. Evtushenko 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.
Evtushenko, Yu. G. & А. А. Тretyakov. (2024). On the Redundancy of Hessian Nonsingularity for Linear Convergence Rate of the Newton Method Applied to the Minimization of Convex Functions. Computational Mathematics and Mathematical Physics. 64(4). 781–787.
2.
Evtushenko, Yu. G., et al.. (2023). Advances in Optimization and Applications. Communications in computer and information science. 1 indexed citations
3.
Evtushenko, Yu. G., et al.. (2020). Application of the Fast Automatic Differentiation Technique for Solving Inverse Coefficient Problems. Computational Mathematics and Mathematical Physics. 60(1). 15–25. 5 indexed citations
4.
Evtushenko, Yu. G., et al.. (2018). Projective-Dual Method for Solving Systems of Linear Equations with Nonnegative Variables. Computational Mathematics and Mathematical Physics. 58(2). 159–169. 1 indexed citations
5.
Evtushenko, Yu. G., et al.. (2016). Numerical method for approximating the solution set of a system of non-linear inequalities. International journal of open information technologies. 4(12). 1–6. 2 indexed citations
6.
Evtushenko, Yu. G., S. A. Lurie, Mikhail Posypkin, & Yury Solyaev. (2016). Application of optimization methods for finding equilibrium states of two-dimensional crystals. Computational Mathematics and Mathematical Physics. 56(12). 2001–2010. 2 indexed citations
7.
Evtushenko, Yu. G., et al.. (2015). MOLECULAR DYNAMIC MODELING OF THE INITIAL STAGES OF Si(111) SURFACE NITRIDIZATION IN NH₃ ATMOSPHERE. 18(4). 267–272. 2 indexed citations
8.
Evtushenko, Yu. G. & Mikhail Posypkin. (2014). Effective hull of a set and its approximation. Doklady Mathematics. 90(3). 791–794. 6 indexed citations
9.
Evtushenko, Yu. G. & Mikhail Posypkin. (2013). Nonuniform covering method as applied to multicriteria optimization problems with guaranteed accuracy. Computational Mathematics and Mathematical Physics. 53(2). 144–157. 26 indexed citations
10.
Evtushenko, Yu. G. & А. А. Тretyakov. (2013). pth-order approximation of the solution set of nonlinear equations. Computational Mathematics and Mathematical Physics. 53(12). 1763–1780. 1 indexed citations
11.
Evtushenko, Yu. G., et al.. (2010). Aleksandr Andreevich Shestakov (A tribute in honor of his ninetieth birthday). Differential Equations. 46(1). 8–16.
12.
Evtushenko, Yu. G., et al.. (2010). The leader of computational and applied mathematics. Herald of the Russian Academy of Sciences. 80(6). 548–556. 1 indexed citations
13.
Evtushenko, Yu. G., et al.. (2009). Parallel implementation of Newton’s method for solving large-scale linear programs. Computational Mathematics and Mathematical Physics. 49(8). 1303–1317. 14 indexed citations
14.
Evtushenko, Yu. G., et al.. (2009). Parallel global optimization of functions of several variables. Computational Mathematics and Mathematical Physics. 49(2). 246–260. 21 indexed citations
15.
Evtushenko, Yu. G., et al.. (2007). Parallelization of the global extremum searching process. Automation and Remote Control. 68(5). 787–798. 7 indexed citations
16.
Evtushenko, Yu. G., et al.. (2003). Theorems of the alternative and their applications in numerical methods. Computational Mathematics and Mathematical Physics. 43(3). 338–358. 9 indexed citations
17.
Evtushenko, Yu. G., et al.. (1999). PARETO OPTIMAL NONCOOPERATIVE EQUILIBRIUMS. Doklady Mathematics. 60(1). 145–147.
18.
Evtushenko, Yu. G., et al.. (1998). A NEW CONCEPT OF THE SOLUTION FOR PROBLEMS OF ACCEPTING OFFERS AND NONCOOPERATIVE GAMES. Doklady Mathematics. 58(3). 487–490.
19.
Evtushenko, Yu. G., et al.. (1994). Stable barrier-projection and barrier-Newton methods in linear programming. Computational Optimization and Applications. 3(4). 289–303. 11 indexed citations
20.
Evtushenko, Yu. G., et al.. (1980). Integrated Optimization - Simulation System for Industry and Regional Planning.. IFIP Congress. 651–658.

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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