Jean‐Antoine Désidéri

2.2k total citations
81 papers, 1.3k citations indexed

About

Jean‐Antoine Désidéri is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Jean‐Antoine Désidéri has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computational Mechanics, 23 papers in Computational Theory and Mathematics and 17 papers in Applied Mathematics. Recurrent topics in Jean‐Antoine Désidéri's work include Computational Fluid Dynamics and Aerodynamics (28 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Advanced Numerical Methods in Computational Mathematics (16 papers). Jean‐Antoine Désidéri is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (28 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Advanced Numerical Methods in Computational Mathematics (16 papers). Jean‐Antoine Désidéri collaborates with scholars based in France, China and United States. Jean‐Antoine Désidéri's co-authors include Alain Dervieux, Angelo Iollo, Stéphane Lanteri, Alfredo Bermúdez, Jacques Périaux, Badr Abou El Majd, R. Glowinski, Aleš Janka, Piet Hemker and J. Rouxel and has published in prestigious journals such as Journal of Computational Physics, European Journal of Operational Research and Journal of Lipid Research.

In The Last Decade

Jean‐Antoine Désidéri

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐Antoine Désidéri France 17 708 267 221 197 177 81 1.3k
Nicolas R. Gauger Germany 19 709 1.0× 220 0.8× 163 0.7× 427 2.2× 67 0.4× 120 1.2k
Bernard Grossman United States 24 457 0.6× 462 1.7× 226 1.0× 447 2.3× 87 0.5× 89 1.8k
Robert Haimes United States 25 1.1k 1.5× 289 1.1× 156 0.7× 490 2.5× 74 0.4× 109 2.0k
Richard P. Dwight Netherlands 20 1.2k 1.6× 215 0.8× 517 2.3× 472 2.4× 60 0.3× 66 1.7k
Dominikus Noll France 28 351 0.5× 654 2.4× 99 0.4× 219 1.1× 86 0.5× 130 2.6k
Matthias Heinkenschloss United States 26 837 1.2× 704 2.6× 391 1.8× 127 0.6× 66 0.4× 75 1.8k
John Burkardt United States 20 433 0.6× 318 1.2× 335 1.5× 123 0.6× 54 0.3× 38 1.4k
Christian B Allen United Kingdom 24 1.6k 2.2× 388 1.5× 271 1.2× 674 3.4× 69 0.4× 124 2.0k
Dan Crisan United Kingdom 24 244 0.3× 126 0.5× 245 1.1× 162 0.8× 1.0k 5.9× 97 2.5k
Guergana Petrova United States 14 467 0.7× 124 0.5× 240 1.1× 45 0.2× 93 0.5× 39 939

Countries citing papers authored by Jean‐Antoine Désidéri

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Antoine Désidéri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Antoine Désidéri. 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 Jean‐Antoine Désidéri. The network helps show where Jean‐Antoine Désidéri may publish in the future.

Co-authorship network of co-authors of Jean‐Antoine Désidéri

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Antoine Désidéri. A scholar is included among the top collaborators of Jean‐Antoine Désidéri 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 Jean‐Antoine Désidéri. Jean‐Antoine Désidéri 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.
Rouxel, J., et al.. (2016). OPTIMIZATION OF A PHOTOACOUSTIC GAS SENSOR USING MULTIFIDELITY RBF METAMODELING. 6250–6259. 2 indexed citations
2.
Désidéri, Jean‐Antoine. (2015). Révision de l'algorithme de descente à gradients multiples (MGDA) par orthogonalisation hiérarchique. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
3.
Peter, Jacques, et al.. (2013). Mesh quality assessment based on aerodynamic functional output total derivatives. European Journal of Mechanics - B/Fluids. 45. 51–71. 5 indexed citations
4.
Désidéri, Jean‐Antoine, et al.. (2011). Convergence of a two-level ideal algorithm for a parametric shape inverse model problem. Inverse Problems in Science and Engineering. 19(3). 363–393.
5.
Désidéri, Jean‐Antoine. (2009). Multiple-Gradient Descent Algorithm (MGDA). Journal of Lipid Research. 23(8). 17–7. 14 indexed citations
6.
Désidéri, Jean‐Antoine, et al.. (2008). multiobjective optimization in hydrodynamic stability control. HAL (Le Centre pour la Communication Scientifique Directe).
7.
Désidéri, Jean‐Antoine, et al.. (2006). Parametric Shape Optimization for the Conformation of Axisymmetric Reflector Antennas. HAL (Le Centre pour la Communication Scientifique Directe). 27. 1 indexed citations
8.
Désidéri, Jean‐Antoine & Jean-Paul Zolésio. (2005). Inverse shape optimization problems and application to airfoils. Control and Cybernetics. 34(1). 165–202. 10 indexed citations
9.
Janka, Aleš, et al.. (2003). Optimisation aérodynamique par algorithmes génétiques hybrides: application à la réduction d'un critère de bang sonique.
10.
Désidéri, Jean‐Antoine, et al.. (2002). Self-adaptive parameterisation for aerodynamic optimum-shape design. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
11.
Désidéri, Jean‐Antoine, et al.. (2002). Towards Self-Adaptive Parameterization of Bézier Curves for Airfoil Aerodynamic Design. HAL (Le Centre pour la Communication Scientifique Directe). 13 indexed citations
12.
Iollo, Angelo, Alain Dervieux, Stéphane Lanteri, & Jean‐Antoine Désidéri. (2000). TWO STABLE POD-BASED APPROXIMATION TO THE NAVIER'STOKES EQUATIONS. PORTO Publications Open Repository TOrino (Politecnico di Torino). 2 indexed citations
13.
Bermúdez, Alfredo, et al.. (1998). Upwind schemes for the two-dimensional shallow water equations with variable depth using unstructured meshes. Computer Methods in Applied Mechanics and Engineering. 155(1-2). 49–72. 152 indexed citations
14.
Sefrioui, M., et al.. (1998). Evolutionary computational methods for complex design in aerodynamics. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
15.
Stoufflet, B., et al.. (1998). Evolutionary computational methods for complex design in aerodynamics. 36th AIAA Aerospace Sciences Meeting and Exhibit. 14 indexed citations
16.
Désidéri, Jean‐Antoine. (1996). Experimentation, modelling and computation in flow, turbulence and combustion. Wiley eBooks. 8 indexed citations
17.
Dervieux, Alain & Jean‐Antoine Désidéri. (1992). Compressible flow solvers using unstructured grids. OpenGrey (Institut de l'Information Scientifique et Technique). 94. 17531. 33 indexed citations
18.
Désidéri, Jean‐Antoine, et al.. (1987). Third-order numerical schemes for hyperbolic problems. OpenGrey (Institut de l'Information Scientifique et Technique). 9 indexed citations
19.
Désidéri, Jean‐Antoine, et al.. (1987). Numerical simulation of hypersonic equilibrium-air reactive flow. OpenGrey (Institut de l'Information Scientifique et Technique). 1 indexed citations
20.
Dervieux, Alain, et al.. (1985). Numerical methods for the Euler equations of fluid dynamics. Society for Industrial and Applied Mathematics eBooks. 90 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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