E. Yu. Romanenko

589 citations
32 papers · 381 · h-index 8

Impact in

Papers in

E. Yu. Romanenko

27 papers receiving 342 citations

Peers

E. Yu. Romanenko
Comparison fields: 5 of 47
  • Mathematical Physics 126
  • Statistical and Nonlinear Physics 167
  • Numerical Analysis 63
  • Nuclear Energy and Engineering 5
  • Applied Mathematics 106
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Sylvia Novo Spain
В. А. Плисс Russia
Flaviano Battelli Italy
Orlando Lopes Brazil
Plácido Táboas Brazil
Zuohuan Zheng China
Luis Barreira Portugal
Tongren Ding China
Bálint Farkas Germany
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Citations per year

Countries citing papers authored by E. Yu. Romanenko

Since Specialization
Citations

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

Fields of papers citing papers by E. Yu. Romanenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside E. Yu. Romanenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Yu. Romanenko Line = papers co-authored together E. Yu. Romanenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993226
2 199227
3 199917
4 199615
5 199811
6 199511
7 19989
8 20078
9 20037
10 20006
11 20076
12 19904
13 19934
14 20054
15 20172
16 20192
17
20062
18 20102
19 20182
20 19992

About E. Yu. Romanenko

E. Yu. Romanenko is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health, Applied Mathematics and Computer Networks and Communications, having authored 32 papers that have together received 381 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers), advanced mathematical theories (6 papers), Nonlinear Differential Equations Analysis (5 papers), Differential Equations and Numerical Methods (3 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Mathematical Physics (126 citations), Statistical and Nonlinear Physics (167 citations), Numerical Analysis (63 citations), Nuclear Energy and Engineering (5 citations) and Applied Mathematics (106 citations). E. Yu. Romanenko has collaborated with scholars based in Ukraine, Czechia and Russia. Frequent co-authors include A. N. Sharkovsky, Yu. L. Maistrenko, A. N. Sharkovskii, Ravi P. Agarwal, В. В. Федоренко and Gregory Derfel. Their work appears in journals such as The Journal of Difference Equations and Applications, International Journal of Bifurcation and Chaos, Computers & Mathematics with Applications, Ukrainian Mathematical Journal and Applied Mathematics Letters.

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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