World's Best Scientists 2026 revealed!
Francisco Chinesta

Francisco Chinesta

D-Index & Metrics

Engineering and Technology

D-Index
65
Citations
16276
World Ranking
1523
National Ranking
22

Francisco Chinesta publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Francisco Chinesta sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 681 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Francisco Chinesta D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Francisco Chinesta sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 65 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2012 - Fellow of the International Association for Computational Mechanics (IACM)

Overview

Francisco Chinesta is affiliated with ESI in France and has contributed extensively to the field of engineering, with a particular focus on model reduction, computational mechanics, and materials science. Their research portfolio encompasses a broad range of subfields, including statistical and nonlinear physics, mechanical engineering, mechanics of materials, computational mechanics, and control and systems engineering.

The scientist's work centers on several main topics, notably model reduction and neural networks, probabilistic and robust engineering design, composite material mechanics, and applications of neural networks. Other key areas include topology optimization in engineering, structural health monitoring techniques, and additive manufacturing with 3D printing technologies.

Francisco Chinesta has collaborated frequently with several researchers over the course of their career. Notable coauthors include Elías Cueto, Chady Ghnatios, Victor Champaney, Amine Ammar, and Nicolas Hascoët.

Their publications are found in various esteemed venues, some of the most frequent being the International Journal of Material Forming and arXiv (Cornell University), as well as Advanced Modeling and Simulation in Engineering Sciences, SSRN Electronic Journal, and Jornadas de jóvenes investigadores del I3A.

Among their recent papers are:

  • "Advances in hybrid fibers reinforced polymer-based composites prepared by FDM: A review on mechanical properties and prospects," 2023, Composites Communications
  • "Deep learning of thermodynamics-aware reduced-order models from data," 2021, Computer Methods in Applied Mechanics and Engineering
  • "From ROM of Electrochemistry to AI-Based Battery Digital and Hybrid Twin," 2020, Archives of Computational Methods in Engineering
  • "Structure-preserving neural networks," 2020, Journal of Computational Physics
  • "Digital twins that learn and correct themselves," 2020, International Journal for Numerical Methods in Engineering

Francisco Chinesta has also contributed to academic literature through book publications. One notable example is a forthcoming book titled A Gentle Introduction to Data, Learning, and Model Order Reduction, to be published by Springer International Publishing in 2025.

The scientist has been recognized by the International Association for Computational Mechanics, receiving the distinction of Fellow in 2012.

Best Publications

  • A Short Review on Model Order Reduction Based on Proper Generalized Decomposition

    Francisco Chinesta;Pierre Ladeveze;Elías Cueto

  • A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids

    Amine Ammar;Béchir Mokdad;Francisco Chinesta;Roland Keunings

  • Recent Advances and New Challenges in the Use of the Proper Generalized Decomposition for Solving Multidimensional Models

    Francisco Chinesta;Amine Ammar;Elías Cueto

  • The Proper Generalized Decomposition for Advanced Numerical Simulations: A Primer

    Francisco Chinesta;Roland Keunings;Adrien Leygue

  • PGD-Based Computational Vademecum for Efficient Design, Optimization and Control

    Francisco Chinesta;Adrien Leygue;Felipe Bordeu;Jose Vicente Aguado

  • A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modelling of complex fluids - Part II: Transient simulation using space-time separated representations

    Amine Ammar;Béchir Mokdad;Francisco Chinesta;Roland Keunings

  • An overview of the proper generalized decomposition with applications in computational rheology

    Francisco Chinesta;Amine Ammar;Adrien Leygue;Roland Keunings

  • The Proper Generalized Decomposition for Advanced Numerical Simulations

    Francisco Chinesta;Roland Keunings;Adrien Leygue

  • Data-driven modeling and learning in science and engineering

    Francisco J. Montáns;Francisco Chinesta;Rafael Gómez-Bombarelli;J. Nathan Kutz

  • Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

    Francisco Chinesta;Elías G. Cueto;Emmanuelle Abisset-Chavanne;Jean Louis Duval

  • A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity

    Rubén Ibañez;Emmanuelle Abisset-Chavanne;Jose Vicente Aguado;David Gonzalez

  • Advanced simulation of models defined in plate geometries: 3D solutions with 2D computational complexity

    B. Bognet;F. Bordeu;F. Chinesta;A. Leygue

  • On the "a priori" model reduction: overview and recent developments

    David Ryckelynck;Francisco Chinesta;Elías Cueto;Amine Ammar

  • Recent advances on the use of separated representations

    David González;Amine Ammar;Francisco Chinesta;Elías Cueto

  • Real-time deformable models of non-linear tissues by model reduction techniques

    S. Niroomandi;I. Alfaro;E. Cueto;F. Chinesta

  • Data-driven non-linear elasticity: constitutive manifold construction and problem discretization

    Ruben Ibañez;Domenico Borzacchiello;Jose Vicente Aguado;Emmanuelle Abisset-Chavanne

  • An error estimator for separated representations of highly multidimensional models

    Amine Ammar;Francisco Chinesta;Pedro Diez;Antonio Huerta

  • Proper Generalized Decomposition based dynamic data-driven control of thermal processes ☆

    Chady Ghnatios;Françoise Masson;Antonio Huerta;Adrien Leygue

  • Original article: On the deterministic solution of multidimensional parametric models using the Proper Generalized Decomposition

    E. Pruliere;F. Chinesta;A. Ammar

  • A new extension of the natural element method for non-convex and discontinuous problems: the constrained natural element method (C-NEM)

    Julien Yvonnet;David Ryckelynck;Philippe Lorong;Francisco Chinesta

Frequent Co-Authors

Elías Cueto
Elías Cueto University of Zaragoza
Roland Keunings
Roland Keunings Université Catholique de Louvain
Antonio Huerta
Antonio Huerta Universitat Politècnica de Catalunya
Julien Yvonnet
Julien Yvonnet Gustave Eiffel University
Malcolm R. Mackley
Malcolm R. Mackley University of Cambridge
Manuel Doblaré
Manuel Doblaré University of Zaragoza
Christophe Binetruy
Christophe Binetruy École Centrale de Nantes
Miroslav Grmela
Miroslav Grmela Polytechnique Montréal
Pierre Ladevèze
Pierre Ladevèze École Normale Supérieure Paris-Saclay
Luigino Filice
Luigino Filice University of Calabria

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