Yu. G. Evtushenko

146 total papers · 1.1k total citations
75 papers, 536 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 75 papers receiving a total of 536 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, Валерий Васильевич Козлов 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

62 papers receiving 494 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yu. G. Evtushenko	283	235	118	75	70	75	536
Liansheng Zhang	297 1.0×	298 1.3×	162 1.4×	172 2.3×	44 0.6×	45	575
Frédéric Messine	110 0.4×	205 0.9×	169 1.4×	28 0.4×	57 0.8×	72	545
Lingchen Kong	167 0.6×	149 0.6×	44 0.4×	55 0.7×	152 2.2×	54	550
Jiawei Chen	132 0.5×	281 1.2×	89 0.8×	33 0.4×	103 1.5×	66	563
Y. Sawaragi	191 0.7×	238 1.0×	219 1.9×	114 1.5×	16 0.2×	53	550
Oleg Burdakov	154 0.5×	124 0.5×	50 0.4×	88 1.2×	108 1.5×	44	577
Karl Nickel	132 0.5×	274 1.2×	91 0.8×	29 0.4×	142 2.0×	56	517
Xiao Sun	95 0.3×	81 0.3×	54 0.5×	81 1.1×	41 0.6×	41	563
Eva Riccomagno	53 0.2×	210 0.9×	56 0.5×	112 1.5×	24 0.3×	44	531
Nabih N. Abdelmalek	100 0.4×	85 0.4×	82 0.7×	48 0.6×	69 1.0×	39	507

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

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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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