World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
8442
World Ranking
7562
National Ranking
168

Jean-Frédéric Gerbeau 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 Jean-Frédéric Gerbeau 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Jean-Frédéric Gerbeau 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 Jean-Frédéric Gerbeau 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Jean-Frédéric Gerbeau is affiliated with the French Institute for Research in Computer Science and Automation - INRIA in France. Their research spans medicine, with a particular focus on neurology and cardiology, alongside contributions to hardware and architecture, electrical and electronic engineering, and statistical and nonlinear physics.

The scientist's work covers multiple subfields, including:

  • Neurology
  • Cardiology and Cardiovascular Medicine
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Statistical and Nonlinear Physics

Main research topics addressed in their publications consist of:

  • Intracerebral and Subarachnoid Hemorrhage Research
  • Cerebrovascular and Genetic Disorders
  • Intracranial Aneurysms: Treatment and Complications
  • Cardiac Electrophysiology and Arrhythmias
  • VLSI and Analog Circuit Testing
  • Integrated Circuits and Semiconductor Failure Analysis
  • Model Reduction and Neural Networks

Among their recent scientific contributions are the following publications:

  • Reducing Hypermuscularization of the Transitional Segment Between Arterioles and Capillaries Protects Against Spontaneous Intracerebral Hemorrhage, 2020, published in Circulation
  • A greedy classifier optimization strategy to assess ion channel blocking activity and pro-arrhythmia in hiPSC-cardiomyocytes, 2020, published in PLoS Computational Biology
  • Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models, 2020, published in Computer Methods in Applied Mechanics and Engineering
  • Combining field potential data and in silico simulated data to improve machine learning approaches and better assess drug cardiotoxicity, 2020, published in Journal of Pharmacological and Toxicological Methods

Frequent coauthors who have collaborated with Jean-Frédéric Gerbeau include:

  • Damiano Lombardi
  • Fabien Raphel
  • Tessa de Korte
  • Stefan Braam
  • Julien Ratelade

The scientist's work has appeared in multiple publication venues, including:

  • Circulation
  • PLoS Computational Biology
  • Computer Methods in Applied Mechanics and Engineering
  • Journal of Pharmacological and Toxicological Methods

Best Publications

  • Added-mass effect in the design of partitioned algorithms for fluid-structure problems

    Paola Causin;Jean-Frédéric Gerbeau;Fabio Nobile

  • On the coupling of 3D and 1D Navier-Stokes equations for flow problems in compliant vessels

    Luca Formaggia;Jean Frédéric Gerbeau;Fabio Nobile;Alfio Quarteroni;Alfio Quarteroni

  • Derivation of Viscous Saint-Venant System for Laminar Shallow Water; Numerical Validation

    Jean-Frédéric Gerbeau;Benoît Perthame

  • Mathematical Methods for the Magnetohydrodynamics of Liquid Metals

    Jean-Frédéric Gerbeau;Claude Le Bris;Tony Lelièvre

  • Numerical Treatment of Defective Boundary Conditions for the Navier--Stokes Equations

    L. Formaggia;J.-F. Gerbeau;F. Nobile;A. Quarteroni

  • A projection semi-implicit scheme for the coupling of an elastic structure with an incompressible fluid

    Miguel Angel Fernández;Jean-Frédéric Gerbeau;Céline Grandmont;Céline Grandmont

  • A Quasi-Newton Algorithm Based on a Reduced Model for Fluid-Structure Interaction Problems in Blood Flows

    Jean-Frédéric Gerbeau;Marina Vidrascu

  • External tissue support and fluid-structure simulation in blood flows.

    P. Moireau;P. Moireau;N. Xiao;M. Astorino;M. Astorino;C. A. Figueroa

  • Fluid-structure interaction in blood flows on geometries based on medical imaging

    Jean-Frédéric Gerbeau;Marina Vidrascu;Pascal Frey

  • Mathematical Modeling of Electrocardiograms: A Numerical Study

    Muriel Boulakia;Serge Cazeau;Miguel Angel Fernández;Jean-Frédéric Gerbeau

  • A stabilized finite element method for the incompressible magnetohydrodynamic equations

    Jean-Frédéric Gerbeau

  • Méthodes numériques : algorithmes, analyse et applications

    Alfio Quarteroni;Riccardo Sacco;Fausto Saleri;Jean-Frédéric Gerbeau

  • Sequential parameter estimation for fluid-structure problems: application to hemodynamics.

    Cristóbal Bertoglio;Philippe Moireau;Jean-Frederic Gerbeau

  • Fluid-structure interaction and multi-body contact. Application to aortic valves

    Matteo Astorino;Jean-Frédéric Gerbeau;Olivier Pantz;Karim-Frédéric Traoré

  • A poroelastic model valid in large strains with applications to perfusion in cardiac modeling

    D. Chapelle;J.-F. Gerbeau;J. Sainte-Marie;I. E. Vignon-Clementel

  • Existence of solution for a density-dependent magnetohydrodynamic equation

    J.-F. Gerbeau;C. Le Bris

  • Algorithms for Interface Treatment and Load Computation in Embedded Boundary Methods for Fluid and Fluid-Structure Interaction Problems

    Kevin Wang;Arthur Rallu;Jean-Frédéric Gerbeau;Charbel Farhat

  • Computational analysis of an aortic valve jet with Lagrangian coherent structures.

    Shawn C. Shadden;Matteo Astorino;Jean-Frédéric Gerbeau

  • A methodological paradigm for patient-specific multi-scale CFD simulations: from clinical measurements to parameter estimates for individual analysis

    Sanjay Pant;Sanjay Pant;Benoit Fabrèges;Benoit Fabrèges;Jean-Frédéric Gerbeau;Jean-Frédéric Gerbeau;Irene Vignon-Clementel;Irene Vignon-Clementel

  • FIVER: A finite volume method based on exact two-phase Riemann problems and sparse grids for multi-material flows with large density jumps

    Charbel Farhat;Jean-FréDéRic Gerbeau;Arthur Rallu

  • Generalized Navier boundary condition and geometric conservation law for surface tension

    Jean-Frédéric Gerbeau;Tony Lelievre

Frequent Co-Authors

Dominique Chapelle
Dominique Chapelle French Institute for Research in Computer Science and Automation - INRIA
Alfio Quarteroni
Alfio Quarteroni Polytechnic University of Milan
Tony Lelièvre
Tony Lelièvre École des Ponts ParisTech
Benoît Perthame
Benoît Perthame Sorbonne University
Shawn C. Shadden
Shawn C. Shadden University of California, Berkeley
Maxime Sermesant
Maxime Sermesant Université Côte d'Azur
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Fabio Nobile
Fabio Nobile École Polytechnique Fédérale de Lausanne
Luca Formaggia
Luca Formaggia Polytechnic University of Milan
Michel Bonneau
Michel Bonneau INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

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