World's Best Scientists 2026 revealed!
Marc Bernacki

Marc Bernacki

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
4946
World Ranking
8147
National Ranking
185

Marc Bernacki 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 Marc Bernacki 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: 382 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.

Marc Bernacki 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 Marc Bernacki 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

Marc Bernacki is affiliated with Mines ParisTech in France. Their research primarily spans Engineering and Materials Science, with a strong focus on subfields including Mechanics of Materials, Mechanical Engineering, Materials Chemistry, Aerospace Engineering, and Computational Mechanics.

The scientist's work covers a variety of topics related to Metallurgy and Material Forming, Microstructure and Mechanical Properties, Microstructure and Mechanical Properties of Steels, Aluminum Alloy Microstructure Properties, High Temperature Alloys and Creep, Advanced Numerical Methods in Computational Mathematics, and Metal Forming Simulation Techniques.

Frequent co-authors collaborating with Marc Bernacki include Nathalie Bozzolo, Baptiste Flipon, Sebastian Florez, Daniel Pino Muñoz, and Karen Alvarado.

Their publications have appeared in key academic venues such as arXiv (Cornell University), Computational Materials Science, Acta Materialia, Modelling and Simulation in Materials Science and Engineering, and Materials.

Some of the recent papers authored or co-authored by Marc Bernacki include:

  • Viewpoint on the Formation and Evolution of Annealing Twins During Thermomechanical Processing of FCC Metals and Alloys (2020), published in Metallurgical and Materials Transactions A
  • Asteroid (101955) Bennu's weak boulders and thermally anomalous equator (2020), published in Science Advances
  • A new numerical framework for the full field modeling of dynamic recrystallization in a CPFEM context (2020), published in Computational Materials Science
  • Dissolution of the Primary γ' Precipitates and Grain Growth during Solution Treatment of Three Nickel Base Superalloys (2021), published in Metals
  • Full field modeling of dynamic recrystallization in a CPFEM context - Application to 304L steel (2020), published in Computational Materials Science

Best Publications

  • Shape of (101955) Bennu indicative of a rubble pile with internal stiffness.

    O Barnouin;M Daly;E Palmer

  • Annealing twin development during recrystallization and grain growth in pure nickel

    Y. Jin;B. Lin;M. Bernacki;G.S. Rohrer

  • About quantitative EBSD analysis of deformation and recovery substructures in pure Tantalum

    Charbel Moussa;Marc Bernacki;Rémy Besnard;Nathalie Bozzolo

  • Thermo-mechanical and fracture properties in single-crystal silicon

    Alex Masolin;Alex Masolin;Pierre-Olivier Bouchard;Roberto Martini;Roberto Martini;Marc Bernacki

  • Level set framework for the numerical modelling of primary recrystallization in polycrystalline materials

    Marc Bernacki;Yvan Chastel;Thierry Coupez;Roland E. Logé

  • Finite element model of primary recrystallization in polycrystalline aggregates using a level set framework

    Marc Bernacki;Héba Resk;Thierry Coupez;Roland E. Logé

  • Viewpoint on the Formation and Evolution of Annealing Twins During Thermomechanical Processing of FCC Metals and Alloys

    Nathalie Bozzolo;Marc Bernacki

  • Level set framework for the finite-element modelling of recrystallization and grain growth in polycrystalline materials

    Marc Bernacki;Roland E. Logé;Thierry Coupez

  • Selective Growth of Low Stored Energy Grains During δ Sub-solvus Annealing in the Inconel 718 Nickel-Based Superalloy

    Andrea Agnoli;Marc Bernacki;Roland E. Logé;Roland E. Logé;Jean-Michel Franchet

  • Statistical analysis of dislocations and dislocation boundaries from EBSD data

    Charbel Moussa;Marc Bernacki;Rémy Besnard;Nathalie Bozzolo

  • Asteroid (101955) Bennu's weak boulders and thermally anomalous equator

    B. Rozitis;A. J. Ryan;J. P. Emery;P. R. Christensen

  • Observation of annealing twin nucleation at triple lines in nickel during grain growth

    Brian Lin;Yuan Jin;Christopher M. Hefferan;Shiu Fai Li

  • An efficient and parallel level set reinitialization method - Application to micromechanics and microstructural evolutions

    Modesar Shakoor;Benjamin Scholtes;Pierre-Olivier Bouchard;Marc Bernacki

  • Precise generation of complex statistical Representative Volume Elements (RVEs) in a finite element context

    Karim Hitti;Patrice Laure;Thierry Coupez;Luisa Silva

  • Development of numerical tools for the multiscale modelling of recrystallization in metals, based on a digital material framework

    Marc Bernacki;Hugues Digonnet;Heba Resk;Thierry Coupez

  • Formation of annealing twins during recrystallization and grain growth in 304L austenitic stainless steel

    Yuan Jin;Marc Bernacki;G.S. Rohrer;Anthony D. Rollett

  • New finite element developments for the full field modeling of microstructural evolutions using the level-set method

    Benjamin Scholtes;Modesar Shakoor;Amico Settefrati;Pierre-Olivier Bouchard

  • Linking plastic deformation to recrystallization in metals, using digital microstructures

    Roland Eugene Loge;Marc Bernacki;Heba Resk;Laurent Delannay

  • Macroscopic thermal finite element modeling of additive metal manufacturing by selective laser melting process

    Yancheng Zhang;Gildas Guillemot;Marc Bernacki;Michel Bellet

  • Development of numerical tools for the multiscale modelling of recrystallization in metals, based on a digital material framework

    M. Bernacki;Y. Chastel;H. Digonnet;H. Resk

  • 3D level set modeling of static recrystallization considering stored energy fields

    Benjamin Scholtes;Romain Boulais-Sinou;Amico Settefrati;Daniel Pino Muñoz

  • New finite element developments for the full field modeling of microstructural evolutions using the level set method

    Benjamin Scholtes;Amico Settefrati;Marc Bernacki

Frequent Co-Authors

Roland E. Logé
Roland E. Logé École Polytechnique Fédérale de Lausanne
François Hild
François Hild École Normale Supérieure Paris-Saclay
Thierry Coupez
Thierry Coupez Mines ParisTech
Gregory S. Rohrer
Gregory S. Rohrer Carnegie Mellon University
Anthony D. Rollett
Anthony D. Rollett Carnegie Mellon University
Dante S. Lauretta
Dante S. Lauretta University of Arizona
Joshua L. Bandfield
Joshua L. Bandfield Space Science Institute
Jonathan Cormier
Jonathan Cormier École Nationale Supérieure de Mécanique et d'Aérotechnique
Alexandre Ern
Alexandre Ern École des Ponts ParisTech
Patrick Villechaise
Patrick Villechaise Institute PPrime

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