World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
68
Citations
13722
World Ranking
1254
National Ranking
17

Mathieu Pernot 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 Mathieu Pernot 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: 339 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Mathieu Pernot 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 Mathieu Pernot 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: 68 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Mathieu Pernot is affiliated with Inserm: Institut national de la santé et de la recherche médicale in France. Their research spans medicine and engineering fields, with a particular focus on cardiology and cardiovascular medicine, radiology, nuclear medicine and imaging, as well as biomedical engineering.

The scientist's work covers several subfields including:

  • Cardiology and Cardiovascular Medicine
  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering
  • Pulmonary and Respiratory Medicine
  • Surgery

The main research topics addressed by Mathieu Pernot include:

  • Ultrasound Imaging and Elastography
  • Photoacoustic and Ultrasonic Imaging
  • Cardiac Valve Diseases and Treatments
  • Cardiac Imaging and Diagnostics
  • Ultrasound and Hyperthermia Applications
  • Cardiovascular Function and Risk Factors
  • Coronary Interventions and Diagnostics

Among recent publications, Pernot contributed to:

  • Transcranial ultrafast ultrasound localization microscopy of brain vasculature in patients, 2021, Nature Biomedical Engineering
  • Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist, 2020, JACC. Cardiovascular imaging
  • In vivo whole brain microvascular imaging in mice using transcranial 3D Ultrasound Localization Microscopy, 2022, EBioMedicine
  • Coronary Flow Assessment Using 3-Dimensional Ultrafast Ultrasound Localization Microscopy, 2022, JACC. Cardiovascular imaging
  • A guide for assessment of myocardial stiffness in health and disease, 2022, Nature Cardiovascular Research

Frequent co-authors collaborating with Mathieu Pernot include:

  • Mickaël Tanter
  • Guillaume Goudot
  • Emmanuel Messas
  • Clément Papadacci
  • Olivier Villemain

Pernot's research has been published multiple times in the following venues:

  • JACC. Cardiovascular imaging
  • EBioMedicine
  • Physics in Medicine and Biology
  • European Heart Journal
  • IEEE Transactions on Biomedical Engineering

Best Publications

  • Spatiotemporal Clutter Filtering of Ultrafast Ultrasound Data Highly Increases Doppler and fUltrasound Sensitivity

    Charlie Demene;Thomas Deffieux;Mathieu Pernot;Bruno-Felix Osmanski

  • Experimental demonstration of noninvasive transskull adaptive focusing based on prior computed tomography scans

    J.-F. Aubry;M. Tanter;M. Pernot;J.-L. Thomas

  • Noninvasive, transcranial and localized opening of the blood-brain barrier using focused ultrasound in mice

    James J. Choi;Mathieu Pernot;Scott A. Small;Elisa E. Konofagou

  • Attenuation, scattering, and absorption of ultrasound in the skull bone

    Gianmarco Pinton;Jean Francois Aubry;Emmanuel Bossy;Marie Muller

  • Quantitative Assessment of Arterial Wall Biomechanical Properties Using Shear Wave Imaging

    Mathieu Couade;Mathieu Pernot;Claire Prada;Emmanuel Messas

  • Transcranial ultrafast ultrasound localization microscopy of brain vasculature in patients.

    Charlie Demené;Charlie Demené;Justine Robin;Justine Robin;Alexandre Dizeux;Baptiste Heiles

  • 3D ultrafast ultrasound imaging in vivo.

    Jean Provost;Clement Papadacci;Juan Esteban Arango;Marion Imbault

  • High-contrast ultrafast imaging of the heart

    Clement Papadacci;Mathieu Pernot;Mathieu Couade;Mathias Fink

  • High power transcranial beam steering for ultrasonic brain therapy.

    Mathieu Pernot;Jean-François Aubry;Mickaël Tanter;Jean-Louis Thomas

  • Non-invasive transcranial ultrasound therapy based on a 3D CT scan: protocol validation and in vitro results.

    Marquet F;Pernot M;Aubry Jf;Montaldo G

  • Dynamic study of blood-brain barrier closure after its disruption using ultrasound: a quantitative analysis.

    Benjamin Marty;Benoit Larrat;Benoit Larrat;Maxime Van Landeghem;Caroline Robic

  • In vivo transcranial brain surgery with an ultrasonic time reversal mirror

    Mathieu Pernot;Jean-Francois Aubry;Mickael Tanter;Anne-Laure Boch

  • Functional ultrasound imaging of brain activity in human newborns.

    Charlie Demene;Jérome Baranger;Miguel Bernal;Catherine Delanoe

  • Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council.

    Partho P. Sengupta;Sirish Shrestha;Béatrice Berthon;Emmanuel Messas

  • In Vivo Quantitative Mapping of Myocardial Stiffening and Transmural Anisotropy During the Cardiac Cycle

    M Couade;M Pernot;E Messas;A Bel

  • 4D functional ultrasound imaging of whole-brain activity in rodents.

    Claire Rabut;Mafalda Correia;Victor Finel;Sophie Pezet

  • Mapping Myocardial Fiber Orientation Using Echocardiography-Based Shear Wave Imaging

    Wei-Ning Lee;M. Pernot;M. Couade;E. Messas

  • Temperature estimation using ultrasonic spatial compound imaging

    M. Pernot;M. Tanter;J. Bercoff;K.R. Waters

  • Functional ultrasound neuroimaging: a review of the preclinical and clinical state of the art.

    Thomas Deffieux;Charlie Demene;Mathieu Pernot;Mickael Tanter;Mickael Tanter

  • Myocardial Stiffness Evaluation Using Noninvasive Shear Wave Imaging in Healthy and Hypertrophic Cardiomyopathic Adults

    Olivier Villemain;Mafalda Correia;Elie Mousseaux;Jérome Baranger

  • ECG-gated, mechanical and electromechanical wave imaging of cardiovascular tissues in vivo.

    Mathieu Pernot;Kana Fujikura;Simon D. Fung-Kee-Fung;Elisa E. Konofagou

  • 3-D real-time motion correction in high-intensity focused ultrasound therapy.

    Mathieu Pernot;Mickaël Tanter;Mathias Fink

  • Real-time assessment of myocardial contractility using shear wave imaging.

    Mathieu Pernot;Mathieu Pernot;Mathieu Couade;Philippe Mateo;Bertrand Crozatier

  • Monitoring thermally-induced lesions with supersonic shear imaging.

    J. Bercoff;M. Pernot;M. Tanter;M. Fink

  • Arterial wall elasticity: state of the art and future prospects.

    E. Messas;M. Pernot;M. Couade

Frequent Co-Authors

Mickael Tanter
Mickael Tanter ESPCI Paris
Mathias Fink
Mathias Fink ESPCI Paris
Jean-Luc Gennisson
Jean-Luc Gennisson University of Paris-Saclay
Patrick Segers
Patrick Segers Ghent University
Elisa E. Konofagou
Elisa E. Konofagou Columbia University
Patrick Bruneval
Patrick Bruneval Grenoble Alpes University
Xavier Jeunemaitre
Xavier Jeunemaitre Université Paris Cité
Luc Mertens
Luc Mertens University of Toronto
Michel Haïssaguerre
Michel Haïssaguerre University of Bordeaux

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