Messoud Efendiev

97 papers receiving 1.3k citations

Peers

Messoud Efendiev
Comparison fields: 5 of 81
  • Modeling and Simulation 251
  • Computational Theory and Mathematics 794
  • Control and Systems Engineering 787
  • Applied Mathematics 354
  • Mathematical Physics 261
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Songmu Zheng China
Nicholas D. Alikakos United States
Danielle Hilhorst France
Bruno Scheurer France
Régis Monneau France
Salvatore Rionero Italy
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Citations per year

Countries citing papers authored by Messoud Efendiev

Since Specialization
Citations

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

Fields of papers citing papers by Messoud Efendiev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Messoud Efendiev, 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 Messoud Efendiev Line = papers co-authored together Messoud Efendiev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000159
2 200595
3 200192
4 200477
5
On the Rate-Independent Limit of Systems with Dry Friction and Small Viscosity
200663
6 200659
7
Exponential attractors for a nonlinear reaction-diffusion system in R^3
200049
8 201143
9 200737
10 200334
11 200834
12 200231
13 201127
14 199925
15 200924
16 200323
17 200223
18 201621
19 200320
20 199620

About Messoud Efendiev

Messoud Efendiev is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering, Modeling and Simulation, Applied Mathematics and Computer Networks and Communications, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (58 papers), Stability and Controllability of Differential Equations (43 papers), Mathematical Biology Tumor Growth (30 papers), Nonlinear Dynamics and Pattern Formation (22 papers), Nonlinear Partial Differential Equations (15 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Differential Equations and Numerical Methods (13 papers) and Nonlinear Differential Equations Analysis (9 papers). The work is most often cited by research in Modeling and Simulation (251 citations), Computational Theory and Mathematics (794 citations), Control and Systems Engineering (787 citations), Applied Mathematics (354 citations) and Mathematical Physics (261 citations). Messoud Efendiev has collaborated with scholars based in Germany, Canada and France. Frequent co-authors include Sergey Zelik, Alain Miranville, Wolfgang L. Wendland, Hermann J. Eberl, Atsushi Yagi, Alexander Mielke, Mitsuharu Ôtani, Tohru Tsujikawa, Masayasu Mimura and Etsushi Nakaguchi. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Journal of Mathematical Analysis and Applications, Mathematische Nachrichten, Proceedings of the Royal Society of Edinburgh Section A Mathematics and Discrete and Continuous Dynamical Systems.

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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