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Jacques Periaux

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
7757
World Ranking
7929
National Ranking
192

Jacques Periaux 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 Jacques Periaux 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: 242 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Jacques Periaux 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 Jacques Periaux 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: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Jacques Periaux is affiliated with the International Center for Numerical Methods in Engineering in Spain. Their research spans various fields related to engineering and computer science, focusing on computational methods and optimization techniques.

The scientist's main fields of study include:

  • Engineering
  • Computer Science

Within these fields, Periaux's work covers several subfields with a strong emphasis on computational approaches and engineering applications. These subfields include:

  • Computational Mechanics
  • Aerospace Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Mechanical Engineering

Their research interests focus on optimization algorithms and fluid dynamics as indicated by the main topics of work:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Computational Fluid Dynamics and Aerodynamics
  • Heat Transfer and Optimization
  • Building Energy and Comfort Optimization
  • Fluid Dynamics and Turbulent Flows
  • Turbomachinery Performance and Optimization

Periaux has contributed to the scientific literature through both journal articles and book publications. One recent paper includes:

  • "An Efficient Hybrid Evolutionary Optimization Method Coupling Cultural Algorithm with Genetic Algorithms and Its Application to Aerodynamic Shape Design" (2022), published in Applied Sciences

In addition to articles, Periaux has authored and contributed to books published by Springer Nature in the Netherlands. The book titles and publication years include:

  • Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences (2020)
  • Computation and Big Data for Transport (2020)
  • Advances in Computational Methods and Technologies in Aeronautics and Industry (2022)

Frequent collaborators provide insight into Periaux's research network. Regular co-authors include:

  • Tero Tuovinen
  • Zhili Tang
  • Pedro Dı́ez
  • Pekka Neittaanmäki
  • Dietrich Knoerzer

The scientist's publication activities are primarily recorded in the journal Applied Sciences, where they have multiple publications.

Best Publications

  • A fictitious domain approach to the direct numerical simulation of incompressible viscous flow past moving rigid bodies: application to particulate flow

    R. Glowinski;T. W. Pan;T. I. Helsa;D. D. Joseph

  • A fictitious domain method for Dirichlet problem and applications

    Roland Glowinski;Tsorng-Whay Pan;Jacques Periaux

  • Numerical methods for the navier-stokes equations. Applications to the simulation of compressible and incompressible viscous flows

    M.O. Bristeau;R. Glowinski;J. Periaux

  • A fictitious domain method for external incompressible viscous flow modeled by Navier-Stokes equations

    Roland Glowinski;Tsorng-Whay Pan;Jacques Periaux

  • Active Control and Drag Optimization for Flow Past a Circular Cylinder

    J.-W. He;R. Glowinski;R. Metcalfe;A. Nordlander

  • Domain decomposition methods for nonlinear problems in fluid dynamics

    R. Glowinski;Q.V. Dinh;J. Periaux

  • Distributed Lagrange multiplier methods for incompressible viscous flow around moving rigid bodies

    R. Glowinski;T.W. Pan;J. Périaux

  • Domain Decomposition Methods in Science and Engineering

    Alfio Quarteroni;Jacques Périaux;Yuri A. Kuznetsov;Olof B. Widlund

  • Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms

    Unknown

  • A distributed Lagrange multiplier/fictitious domain method for flows around moving rigid bodies : Application to particulate flow

    Roland Glowinski;Roland Glowinski;Tsorng Whay Pan;Todd I. Hesla;Daniel D. Joseph

  • A distributed Lagrange multiplier/fictitious domain method for the simulation of flow around moving rigid bodies: application to particulate flow

    Roland Glowinski;Tsorng Whay Pan;Todd I. Hesla;Daniel D. Joseph

  • A Hierarchical Genetic Algorithm Using Multiple Models for Optimization

    Unknown

  • A Lagrange multiplier/fictitious domain method for the numerical simulation of incompressible viscous flow around moving rigid bodies: (I) case where the rigid body motions are known a priori

    Roland Glowinski;Roland Glowinski;Tsorng-Whay Pan;Jacques Periaux

  • On the numerical solution of nonlinear problems in fluid dynamics by least squares and finite element methods (II). Application to transonic flow simulations

    M.O. Bristeau;O. Pironneau;R. Glowinski;J. Périaux

  • SOLVING ELLIPTIC PROBLEMS BY DOMAIN DECOMPOSITION METHODS WTIH APPLICATIONS

    Q.V. Dihn;R. Glowinski;J. Périaux

  • Combining game theory and genetic algorithms with application to DDM-nozzle optimization problems

    Unknown

  • Numerical simulation of compressible Navier-Stokes flows

    Marie Odile Bristeau;Roland Glowinski;Jacques Periaux;Henri Viviand

  • Numerical simulation and optimal shape for viscous flow by a fictitious domain method

    Roland Glowinski;Tsorng‐Whay Pan;Anthony J. Kearsley;Jacques Periaux

  • On the numerical solution of nonlinear problems in fluid dynamics by least squares and finite element methods (I) least square formulations and conjugate gradient solution of the continuous problems

    M.O. Bristeau;O. Pironneau;R. Glowinski;J. Periaux

  • Numerical simulation of 3-D hypersonic Euler flows around space vehicles using adapted finite elements

    Unknown

  • Turbulent separated shear flow control by surface plasma actuator: experimental optimization by genetic algorithm approach

    N. Benard;J. Pons-Prats;J. Periaux;G. Bugeda

  • Robust design optimisation using multi-objective evolutionary algorithms

    Dong Lee;Luis Gonzalez;Jacques Periaux;Kavita Srinivas

  • Robust evolutionary algorithms for UAV/UCAV aerodynamic and RCS design optimisation

    Dong-Seop Lee;Luis F. Gonzalez;K. Srinivas;Jacques Periaux

  • Efficient Hybrid-Game Strategies Coupled to Evolutionary Algorithms for Robust Multidisciplinary Design Optimization in Aerospace Engineering

    D S Lee;L F Gonzalez;J Périaux;K Srinivas

  • Game Theory Based Evolutionary Algorithms: A Review with Nash Applications in Structural Engineering Optimization Problems

    David Greiner;Jacques Periaux;Jose M. Emperador;Blas Galván

  • Drag reduction via turbulent boundary layer flow control

    Adel Abbas;Gabriel Bugeda;Esteban Ferrer;Song Fu

  • Hybrid-Game Strategies for multi-objective design optimization in engineering

    DongSeop Lee;Luis Felipe Gonzalez;Jacques Periaux;Karkenahalli Srinivas

  • Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization

    David Greiner;Jacques Periaux;Domenico Quagliarella;Jorge Magalhaes-Mendes

  • Uncertainty based robust optimization method for drag minimization problems in aerodynamics

    Zhili Tang;Jacques Périaux

  • UAS Mission Path Planning System (MPPS) Using Hybrid-Game Coupled to Multi-Objective Optimizer

    DongSeop Lee;Jacques Periaux;Luis Felipe Gonzalez

  • Active Transonic Aerofoil Design Optimization Using Robust Multiobjective Evolutionary Algorithms

    Dong Lee;Jacques Periaux;Eugenio Onate;Luis Gonzalez

  • Distributed evolutionary optimization using Nash games and GPUs – Applications to CFD design problems

    Jyri Leskinen;Jacques Périaux;Jacques Périaux

  • Fast reconstruction of aerodynamic shapes using evolutionary algorithms and virtual nash strategies in a CFD design environment

    J. Periaux;D. S. Lee;L. F. Gonzalez;K. Srinivas

  • Multi-level Hybridized Optimization Methods Coupling Local Search Deterministic and Global Search Evolutionary Algorithms

    Z. Tang;X. Hu;J. Périaux;J. Périaux

  • Parallel Genetic Solution for Multiobjective MDO

    Raino A. E. Mäkinen;Pekka Neittaanmäki;Jacques Périaux;Mourad Sefrioui;Mourad Sefrioui

  • Evolutionary Optimisation Methods with Uncertainty for Modern Multidisciplinary Design in Aeronautical Engineering

    Dong Lee;Luis Gonzalez;Jacques Periaux;Kavita Srinivas

  • Optimal Mission Path Planning (MPP) For An Air Sampling Unmanned Aerial System

    Luis Felipe Gonzalez;DongSeop Lee;Edificio C;Gran Capitan

  • Computational mathematics driven by industrial problems

    Rainer E. Burkard;Antony Jameson;Gilbert Strang;Peter Deuflhard

  • UAS Mission Path Planning System, (MPPS) using hybrid-game coupled to multi-objective optimizer

    Dong-Seop Lee;Luis Felipe Gonzalez;Jacques Periaux

Frequent Co-Authors

Eugenio Oñate
Eugenio Oñate Universitat Politècnica de Catalunya
Nicolas Benard
Nicolas Benard University of Poitiers
Eric Moreau
Eric Moreau University of Poitiers
Christian Hellmich
Christian Hellmich TU Wien
Herbert A. Mang
Herbert A. Mang TU Wien
Josef Eberhardsteiner
Josef Eberhardsteiner TU Wien
Ning Qin
Ning Qin University of Sheffield
Pekka Neittaanmäki
Pekka Neittaanmäki University of Jyväskylä
Roland Glowinski
Roland Glowinski University of Houston

External Links

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Best Scientists Citing Jacques Periaux

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Eugenio Oñate

Universitat Politècnica de Catalunya

Publications: 7

Carlos A. Coello Coello

Carlos A. Coello Coello

CINVESTAV

Publications: 6

Ning Qin

Ning Qin

University of Sheffield

Publications: 5

Jianrong Tan

Jianrong Tan

Zhejiang University

Publications: 5

Bernd R. Noack

Bernd R. Noack

Harbin Institute of Technology

Publications: 4

Uwe Hampel

Uwe Hampel

Helmholtz-Zentrum Dresden-Rossendorf

Publications: 4

Amir H. Gandomi

Amir H. Gandomi

University of Technology Sydney

Publications: 3

Larry Bull

Larry Bull

University of the West of England

Publications: 3

Fan Xue

Fan Xue

University of Hong Kong

Publications: 2

Sergio Oller

Sergio Oller

National University of Salta

Publications: 2

Zoltan K. Nagy

Zoltan K. Nagy

Purdue University West Lafayette

Publications: 2

Eric Moreau

Eric Moreau

University of Poitiers

Publications: 2

Weisheng Lu

Weisheng Lu

University of Hong Kong

Publications: 2

Vaclav Snasel

Vaclav Snasel

Technical University of Ostrava

Publications: 2

Martin J. Barbetti

Martin J. Barbetti

University of Western Australia

Publications: 2

Long Jin

Long Jin

Lanzhou University

Publications: 2

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