World's Best Scientists 2026 revealed!
Jaime Peraire

Jaime Peraire

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
67
Citations
18012
World Ranking
461
National Ranking
215

Jaime Peraire publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Jaime Peraire sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 289 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Jaime Peraire D-index placement in Mechanical and Aerospace Engineering in 2026

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

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 67 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Research.com Recognitions

  • 2015 - THE THOMAS J.R. HUGHES MEDAL For pioneering and impactful work in adaptive computational fluid dynamics, multi-fidelity reduced-order models, and optimization of systems governed by nonlinear differential equations
  • 2004 - Fellow of the International Association for Computational Mechanics (IACM)

Overview

Jaime Peraire is affiliated with MIT in the United States and works primarily in the field of engineering, with a focus on computational mechanics. Their research spans the subfields of computational mechanics, electrical and electronic engineering, applied mathematics, biomedical engineering, and numerical analysis.

The main research topics addressed by Jaime Peraire include:

  • Computational Fluid Dynamics and Aerodynamics
  • Fluid Dynamics and Turbulent Flows
  • Advanced Numerical Methods in Computational Mathematics
  • Plasmonic and Surface Plasmon Research
  • Model Reduction and Neural Networks
  • Electromagnetic Simulation and Numerical Methods
  • Numerical methods for differential equations

Their recent publications reflect a diverse scope within these areas, including the following papers:

  • Impact of Surface Roughness in Nanogap Plasmonic Systems, 2020, ACS Photonics
  • A room-temperature polarization-sensitive CMOS terahertz camera based on quantum-dot-enhanced terahertz-to-visible photon upconversion, 2022, Nature Nanotechnology
  • Symplectic Hamiltonian finite element methods for linear elastodynamics, 2021, Computer Methods in Applied Mechanics and Engineering
  • Large-Eddy Simulation of Transonic Buffet Using Matrix-Free Discontinuous Galerkin Method, 2022, AIAA Journal
  • Subwavelength Terahertz Resonance Imaging (STRING) for Molecular Fingerprinting, 2022, Nano Letters

Frequent coauthors collaborating with Jaime Peraire include:

  • Ngoc Cuong Nguyen
  • R. Loek Van Heyningen
  • Ferran Vidal-Codina
  • Sang-Hyun Oh
  • Jordi Vila-Pérez

Jaime Peraire publishes regularly in a number of venues, most notably:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • AIAA SCITECH 2023 Forum
  • Computer Methods in Applied Mechanics and Engineering
  • AIAA Scitech 2020 Forum

Among the recognitions received, Jaime Peraire was awarded THE THOMAS J.R. HUGHES MEDAL in 2015 for work relating to adaptive computational fluid dynamics, multi-fidelity reduced-order models, and optimization of systems governed by nonlinear differential equations. Furthermore, Jaime Peraire was named a Fellow of the International Association for Computational Mechanics (IACM) in 2004.

Best Publications

  • Adaptive remeshing for compressible flow computations

    J. Peraire;M. Vahdati;K Morgan;O. C. Zienkiewicz

  • Balanced Model Reduction via the Proper Orthogonal Decomposition

    K. Willcox;J. Peraire

  • Sub-Cell Shock Capturing for Discontinuous Galerkin Methods

    Per-Olof Persson;Jaime Peraire

  • An alternating digital tree (ADT) algorithm for 3D geometric searching and intersection problems

    Javier Bonet;Jaime Peraire

  • Finite Element Flux-Corrected Transport (FEM-FCT) for the Euler and Navier-Stokes equations

    Rainald Löhner;Ken Morgan;Jaime Peraire;Mehdi Vahdati

  • Finite element Euler computations in three dimensions

    Jaime Peraire;Joaquin Peiro;Luca Formaggia;Ken Morgan

  • The Compact Discontinuous Galerkin (CDG) Method for Elliptic Problems

    J. Peraire;P.-O. Persson

  • An implicit high-order hybridizable discontinuous Galerkin method for nonlinear convection-diffusion equations

    N. C. Nguyen;J. Peraire;B. Cockburn

  • An implicit high-order hybridizable discontinuous Galerkin method for linear convection-diffusion equations

    Unknown

  • An implicit high-order hybridizable discontinuous Galerkin method for the incompressible Navier-Stokes equations

    N.C. Nguyen;J. Peraire;B. Cockburn

  • OPTIMAL CONTROL OF VORTEX SHEDDING USING LOW-ORDER MODELS. PART I-OPEN-LOOP MODEL DEVELOPMENT

    W. R. Graham;J. Peraire;K. Y. Tang

  • A posteriori finite element bounds for linear-functional outputs of elliptic partial differential equations

    Marius Paraschivoiu;Jaime Peraire;Anthony T. Patera

  • Mesh adaptive computation of upper and lower bounds in limit analysis

    H. Ciria;J. Peraire;J. Bonet

  • A hybridizable discontinuous Galerkin method for Stokes flow

    N.C. Nguyen;J. Peraire;B. Cockburn

  • Newton-GMRES Preconditioning for Discontinuous Galerkin Discretizations of the Navier-Stokes Equations

    P.-O. Persson;J. Peraire

  • An immersed interface method for viscous incompressible flows involving rigid and flexible boundaries

    D. V. Le;B. C. Khoo;J. Peraire

  • Discontinuous Galerkin Solution of the Navier-Stokes Equations on Deformable Domains

    P.-O. Persson;J. Bonet;J. Peraire

  • Implicit Large Eddy Simulation of transition to turbulence at low Reynolds numbers using a Discontinuous Galerkin method

    A. Uranga;P.-O. Persson;M. Drela;J. Peraire

  • Curved Mesh Generation and Mesh Refinement using Lagrangian Solid Mechanics

    Per-Olof Persson;Jaime Peraire

  • A ‘best points’ interpolation method for efficient approximation of parametrized functions

    N. C. Nguyen;A. T. Patera;J. Peraire

  • Adaptive remeshing for three-dimensional compressible flow computations

    J Peraire;J Peiró;K Morgan

  • Discontinuous Galerkin Solution of the Navier-Stokes Equations on Deformable Domains

    Per-Olof Persson;Jaime Peraire;Javier Bonet

  • Finite Element Flux-Corrected Transport (FEM-FCT) for the Euler and Navier-Stokes equations

    Rainald Loehner;Ken Morgan;Jaime Peraire;Mehdi Vahdati

Frequent Co-Authors

Kenneth Morgan
Kenneth Morgan Swansea University
Joaquim Peiró
Joaquim Peiró Imperial College London
Javier Bonet
Javier Bonet International Center for Numerical Methods in Engineering
Bernardo Cockburn
Bernardo Cockburn University of Minnesota
Antonio Huerta
Antonio Huerta Universitat Politècnica de Catalunya
Sang Hyun Oh
Sang Hyun Oh University of Minnesota
Boo Cheong Khoo
Boo Cheong Khoo National University of Singapore
Karen Willcox
Karen Willcox The University of Texas at Austin

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