World's Best Scientists 2026 revealed!
Bernardus J. Geurts

Bernardus J. Geurts

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
9284
World Ranking
4309
National Ranking
88

Bernardus J. Geurts 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 Bernardus J. Geurts 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: 375 publications — 87th percentile

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

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

Bernardus J. Geurts 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 Bernardus J. Geurts 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: 49 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Mathematical analysis
  • Mechanics

His scientific interests lie mostly in Turbulence, Large eddy simulation, Mechanics, Statistical physics and Direct numerical simulation. His primary area of study in Turbulence is in the field of Reynolds number. His Reynolds number research is multidisciplinary, incorporating perspectives in Turbulence modeling and Closure problem.

His biological study spans a wide range of topics, including Image resolution and Discretization, Cauchy stress tensor, Mathematical analysis, Filter. Mechanics is closely attributed to Thermodynamics in his study. His research in Statistical physics intersects with topics in Flow, Open-channel flow, Isotropy, Mixing and Finite volume method.

His most cited work include:

  • Large-eddy simulation of the turbulent mixing layer (395 citations)
  • On the formulation of the dynamic mixed subgrid-scale model (252 citations)
  • Elements of direct and large-eddy simulation (241 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Mechanics, Turbulence, Large eddy simulation, Direct numerical simulation and Classical mechanics. Within one scientific family, he focuses on topics pertaining to Immersed boundary method under Mechanics, and may sometimes address concerns connected to Incompressible flow, Porous medium and Geometry. His Turbulence study incorporates themes from Flow, Statistical physics and Applied mathematics.

His Applied mathematics research also works with subjects such as

  • Discretization that connect with fields like Compressible flow,
  • Nonlinear system which intersects with area such as Regularization. His Large eddy simulation study which covers Boundary layer that intersects with Particle. His Direct numerical simulation study integrates concerns from other disciplines, such as Navier–Stokes equations and Mixing.

He most often published in these fields:

  • Mechanics (71.06%)
  • Turbulence (65.28%)
  • Large eddy simulation (31.02%)

What were the highlights of his more recent work (between 2014-2021)?

  • Mechanics (71.06%)
  • Turbulence (65.28%)
  • Direct numerical simulation (25.69%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Mechanics, Turbulence, Direct numerical simulation, Large eddy simulation and Flow. The various areas that Bernardus J. Geurts examines in his Mechanics study include Classical mechanics, Optics and Aerosol. His work carried out in the field of Turbulence brings together such families of science as Scale and Inflow.

The Direct numerical simulation study combines topics in areas such as Deconvolution, Combustion, Computer simulation, Stokes number and Pyrolysis. His Large eddy simulation research integrates issues from Reliability and Aerospace engineering, Boundary layer. His Flow research incorporates themes from Field, Heat transfer, Porous medium, Applied mathematics and Finite volume method.

Between 2014 and 2021, his most popular works were:

  • Comparison of computational codes for direct numerical simulations of turbulent Rayleigh–Bénard convection (40 citations)
  • Comparison of computational codes for direct numerical simulations of turbulent Rayleigh–Bénard convection (40 citations)
  • A grid-independent length scale for large-eddy simulations (33 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Mathematical analysis
  • Thermodynamics

Bernardus J. Geurts mostly deals with Mechanics, Turbulence, Aerosol, Reynolds number and Classical mechanics. Bernardus J. Geurts has researched Mechanics in several fields, including Discretization, Solver, Numerical analysis and Optics. He combines subjects such as Flow and Navier–Stokes equations with his study of Turbulence.

His Flow study combines topics in areas such as Field, Order of magnitude, K-epsilon turbulence model, Statistical physics and Applied mathematics. His studies deal with areas such as Scale, Flow, Laminar flow and Nucleation as well as Aerosol. His biological study deals with issues like Turbulence kinetic energy, which deal with fields such as Finite volume method, Computational fluid dynamics, Filter, Dissipation and Convection–diffusion equation.

Best Publications

  • Large-eddy simulation of the turbulent mixing layer

    Bert Vreman;Bernard Geurts;Hans Kuerten

  • On the formulation of the dynamic mixed subgrid-scale model

    Bert Vreman;Bernard Geurts;Hans Kuerten

  • Elements of direct and large-eddy simulation

    Bernardus J. Geurts

  • Realizability conditions for the turbulent stress tensor in large-eddy simulation

    Bert Vreman;Bernard Geurts;Hans Kuerten

  • A framework for predicting accuracy limitations in large-eddy simulation

    Bernard J. Geurts;Jochen Fröhlich

  • Regularization modeling for large-eddy simulation

    Bernard J. Geurts;Darryl D. Holm

  • A priori tests of large eddy simulation of the compressible plane mixing layer

    Bert Vreman;Bernard Geurts;Hans Kuerten

  • Inverse modeling for large-eddy simulation

    Bernardus J. Geurts

  • Subgrid-modelling in LES of Compressible Flow

    Bert Vreman;Bernard Geurts;Hans Kuerten

  • Database-analysis of errors in Large-Eddy Simulation

    Johan Meyers;Bernard J. Geurts;Martine Baelmans

  • Large-eddy simulation of the temporal mixing layer using the Clark model

    Bert Vreman;Bernard Geurts;Hans Kuerten

  • Comparison of numerical schemes in large eddy simulation of the temporal mixing layer

    Bert Vreman;Bernard Geurts;Hans Kuerten

  • Metal 3D-printed wick structures for heat pipe application: Capillary performance analysis

    Davoud Jafari;Wessel W. Wits;Bernard J. Geurts

  • Two- and four-way coupled Euler-Lagrangian large-eddy simulation of turbulent particle-laden channel flow

    AW Bert Vreman;BJ Bernard Geurts;BJ Bernard Geurts;NG Niels Deen;Jam Hans Kuipers

  • Leray and LANS-α modelling of turbulent mixing

    Bernard J. Geurts;Darryl D. Holm

  • Quality and Reliability of Large-Eddy Simulations

    Johan Meyers;Bernard J. Geurts;Pierre Sagaut

  • Direct and large-eddy simulation IV

    Bernardus J. Geurts;Rainer Friedrich;Olivier Métais

  • Turbulence modification and heat transfer enhancement by inertial particles in turbulent channel flow

    Johannes G.M. Kuerten;C.W.M. van der Geld;Bernardus J. Geurts

  • A computational error-assessment of central finite-volume discretizations in large-eddy simulation using a Smagorinsky model

    J. Meyers;B. J. Geurts;P. Sagaut

  • Interacting errors in large-eddy simulation: a review of recent developments

    Bernardus J. Geurts

  • A priori test of large eddy simulation of the compressible plane mixing layer

    A.W. Vreman;Bernardus J. Geurts;Johannes G.M. Kuerten

Frequent Co-Authors

Johannes G.M. Kuerten
Johannes G.M. Kuerten Eindhoven University of Technology
Hjh Herman Clercx
Hjh Herman Clercx Eindhoven University of Technology
Darryl D. Holm
Darryl D. Holm Imperial College London
Johan Meyers
Johan Meyers KU Leuven
Ugo Piomelli
Ugo Piomelli Queen's University
Pierre Sagaut
Pierre Sagaut Aix-Marseille University
Detlef Lohse
Detlef Lohse University of Twente
NG Niels Deen
NG Niels Deen Eindhoven University of Technology

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