Amine Ammar

5.3k total citations · 1 hit paper
180 papers, 4.0k citations indexed

About

Amine Ammar is a scholar working on Computational Mechanics, Mechanics of Materials and Statistical and Nonlinear Physics. According to data from OpenAlex, Amine Ammar has authored 180 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computational Mechanics, 50 papers in Mechanics of Materials and 46 papers in Statistical and Nonlinear Physics. Recurrent topics in Amine Ammar's work include Rheology and Fluid Dynamics Studies (45 papers), Model Reduction and Neural Networks (44 papers) and Probabilistic and Robust Engineering Design (33 papers). Amine Ammar is often cited by papers focused on Rheology and Fluid Dynamics Studies (45 papers), Model Reduction and Neural Networks (44 papers) and Probabilistic and Robust Engineering Design (33 papers). Amine Ammar collaborates with scholars based in France, Spain and Egypt. Amine Ammar's co-authors include Francisco Chinesta, Francisco Chinesta, Elías Cueto, R. Keunings, Béchir Mokdad, Adrien Leygue, Antonio Huerta, Étienne Pruliére, David González and F. Chinesta and has published in prestigious journals such as Journal of Computational Physics, International Journal of Heat and Mass Transfer and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Amine Ammar

171 papers receiving 3.9k citations

Hit Papers

A new family of solvers for some classes of multidimensio... 2006 2026 2012 2019 2006 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amine Ammar France 32 1.6k 1.3k 1.2k 899 753 180 4.0k
Adrien Leygue France 26 894 0.6× 787 0.6× 503 0.4× 453 0.5× 402 0.5× 82 2.3k
Mario Di Paola Italy 38 810 0.5× 1.5k 1.2× 320 0.3× 1.5k 1.7× 651 0.9× 194 5.1k
Francisco Chinesta France 15 681 0.4× 560 0.4× 490 0.4× 392 0.4× 209 0.3× 41 1.5k
R. Keunings Belgium 39 290 0.2× 1.1k 0.9× 1.6k 1.3× 257 0.3× 824 1.1× 108 5.2k
Laurent Stainier France 26 409 0.3× 1.4k 1.1× 433 0.3× 186 0.2× 698 0.9× 94 2.6k
Ronald L. Bagley United States 15 878 0.6× 1.6k 1.2× 172 0.1× 481 0.5× 922 1.2× 31 5.8k
Pierre Ladevèze France 42 1.2k 0.8× 4.5k 3.6× 1.7k 1.4× 1.0k 1.1× 780 1.0× 178 6.6k
Kumar K. Tamma United States 33 397 0.3× 1.5k 1.2× 1.5k 1.2× 185 0.2× 326 0.4× 314 4.0k
Antonina Pirrotta Italy 32 404 0.3× 751 0.6× 248 0.2× 909 1.0× 416 0.6× 151 3.4k
Marina V. Shitikova Russia 24 300 0.2× 1.2k 0.9× 203 0.2× 200 0.2× 397 0.5× 132 3.0k

Countries citing papers authored by Amine Ammar

Since Specialization
Citations

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

Fields of papers citing papers by Amine Ammar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amine Ammar

This figure shows the co-authorship network connecting the top 25 collaborators of Amine Ammar. A scholar is included among the top collaborators of Amine Ammar 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 Amine Ammar. Amine Ammar 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.
Jafari‐Talookolaei, Ramazan‐Ali, et al.. (2025). Continuous frugal wavelet transform for damage detection in frame structures. Applied Acoustics. 234. 110621–110621. 1 indexed citations
2.
Ghnatios, Chady, et al.. (2024). Optimal trajectory planning combining model-based and data-driven hybrid approaches. Advanced Modeling and Simulation in Engineering Sciences. 11(1). 2 indexed citations
3.
Ammar, Amine, et al.. (2024). Quasi-Static and Dynamic Crack Propagation by Phase Field Modeling: Comparison with Previous Results and Experimental Validation. Applied Sciences. 14(10). 4000–4000. 7 indexed citations
4.
Cruz, Camilo, et al.. (2024). Efficient identification of a flow-induced crystallization model for injection molding simulation. The International Journal of Advanced Manufacturing Technology. 133(11-12). 5243–5270. 1 indexed citations
6.
Kazemzadeh‐Parsi, Mohammad Javad, et al.. (2023). Describing and Modeling Rough Composites Surfaces by Using Topological Data Analysis and Fractional Brownian Motion. Polymers. 15(6). 1449–1449. 5 indexed citations
8.
Ammar, Amine, et al.. (2022). Data-Driven Modelling of Polyethylene Recycling under High-Temperature Extrusion. Polymers. 14(4). 800–800. 14 indexed citations
9.
Ibáñez, Rubén, et al.. (2019). Multiscale proper generalized decomposition based on the partition of unity. International Journal for Numerical Methods in Engineering. 120(6). 727–747. 5 indexed citations
10.
Ibáñez, Rubén, Emmanuelle Abisset‐Chavanne, Elías Cueto, et al.. (2019). Some applications of compressed sensing in computational mechanics: model order reduction, manifold learning, data-driven applications and nonlinear dimensionality reduction. Computational Mechanics. 64(5). 1259–1271. 10 indexed citations
11.
Ammar, Amine, et al.. (2015). Parametric solution of the Rayleigh-Benard convection model by using the PGD. International Journal of Numerical Methods for Heat & Fluid Flow. 25(6). 1252–1281. 20 indexed citations
12.
Abbassi, Fethi, et al.. (2015). Numerical and Experimental Investigations on Deep Drawing of G1151 Carbon Fiber Woven Composites. Applied Composite Materials. 23(3). 461–476. 17 indexed citations
13.
Allery, Cyrille, et al.. (2013). Simulation of Heat and Mass Transport in a Square Lid-Driven Cavity with Proper Generalized Decomposition (PGD). Numerical Heat Transfer Part B Fundamentals. 63(1). 18–43. 11 indexed citations
14.
Chinesta, Francisco, Adrien Leygue, Felipe Bordeu, et al.. (2013). PGD-Based Computational Vademecum for Efficient Design, Optimization and Control. Archives of Computational Methods in Engineering. 20(1). 31–59. 222 indexed citations
15.
Allery, Cyrille, et al.. (2013). Proper Generalized Decomposition method for incompressible Navier–Stokes equations with a spectral discretization. Applied Mathematics and Computation. 219(15). 8145–8162. 19 indexed citations
16.
Grmela, Miroslav, Amine Ammar, & Francisco Chinesta. (2012). One and two-fiber orientation kinetic theories of fiber suspensions. Journal of Non-Newtonian Fluid Mechanics. 200. 17–33. 3 indexed citations
17.
Gravouil, Anthony, et al.. (2012). Space–time proper generalized decompositions for the resolution of transient elastodynamic models. Computer Methods in Applied Mechanics and Engineering. 255. 67–88. 33 indexed citations
18.
Régnier, G., et al.. (2011). Towards a numerical simulation of direct manufacturing of thermoplastic parts by powder laser sintering COMPLAS XI. QRU Quaderns de Recerca en Urbanisme. 688–699. 1 indexed citations
19.
González, David, Amine Ammar, Francisco Chinesta, & Elías Cueto. (2009). Recent advances on the use of separated representations. International Journal for Numerical Methods in Engineering. 81(5). 637–659. 92 indexed citations
20.
Ammar, Amine, Francisco Chinesta, & David Ryckelynck. (2006). Deterministic particle approach of Multi Bead-Spring polymer models. European Journal of Computational Mechanics. 15(5). 481–494. 2 indexed citations

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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