Aziz Hamdouni

1.5k citations
82 papers · 1.0k indexed · h-index 17

Aziz Hamdouni

78 papers receiving 1.0k citations

Peers

Aziz Hamdouni
Comparison fields: 5 of 64
  • Statistical and Nonlinear Physics 340
  • Computational Mechanics 559
  • Numerical Analysis 110
  • Statistics, Probability and Uncertainty 118
  • Environmental Engineering 176
Replace M. Sergio Campobasso with:
M. Sergio Campobasso United Kingdom
B.F. Blackwell United States
Peter Attar United States
A. Velázquez Spain
Dominique Pelletier Canada
David J. Lucia United States
Adam J. Culler United States
Cyrille Allery France
S.R.K. Nielsen Denmark
Vivek Mukhopadhyay United States
Aziz Hamdouni relative to M. Sergio Campobasso United Kingdom M. Sergio Campobasso's profile →
Citations per field
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M. Sergio Campobasso · 1×
Citations per year

Countries citing papers authored by Aziz Hamdouni

Since Specialization
Citations

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

Fields of papers citing papers by Aziz Hamdouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20222
4 20204
5 20196
6 201810
7 20164
8 201316
9 201312
10 20123
11 201013
12 201010
13 200713
14 20078
15 20071
16 20052
17 200423
18 200450
19
Dimensional analysis and asymptotic expansions of equilibrium equations in nonlinear elasticity. Part II: The two-dimensional von Karman model
19988
20 19983

About Aziz Hamdouni

Aziz Hamdouni is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Computational Mechanics, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (28 papers), Fluid Dynamics and Vibration Analysis (23 papers), Numerical methods for differential equations (17 papers), Fluid Dynamics and Turbulent Flows (16 papers), Wind and Air Flow Studies (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Structural Analysis and Optimization (7 papers) and Advanced Numerical Methods in Computational Mathematics (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (340 citations), Computational Mechanics (559 citations) and Numerical Analysis (110 citations). Aziz Hamdouni has collaborated with scholars based in France, Algeria and Indonesia. Frequent co-authors include Jean‐François Sigrist, Cyrille Allery, Olivier Millet, Claudine Béghein, Alain Cimetière, Marx Chhay, Imam Jauhari Maknun, Irwan Katili, Anas Sakout and Saïd Drid.

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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