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2025

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Rising Stars

D-Index
32
Citations
3668
World Ranking
982
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36

Engineering and Technology

D-Index
34
Citations
4409
World Ranking
9244
National Ranking
314

Fadi Aldakheel 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 Fadi Aldakheel 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: 113 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Fadi Aldakheel 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 Fadi Aldakheel 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: 34 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Fadi Aldakheel is affiliated with the University of Hannover in Germany and conducts research primarily in engineering, with a focus on mechanics of materials, computational mechanics, and mechanical engineering. The scientist's work covers a range of subfields including materials chemistry and civil and structural engineering.

The research contributions of Fadi Aldakheel span several topical areas within engineering. These include:

  • Numerical methods in engineering
  • Advanced numerical methods in computational mathematics
  • Fatigue and fracture mechanics
  • Metal forming simulation techniques
  • Metallurgy and material forming
  • Fluid dynamics simulations and interactions
  • High-velocity impact and material behavior

The publication record of Fadi Aldakheel encompasses papers in prominent venues such as Computer Methods in Applied Mechanics and Engineering, Computational Mechanics, Applied Sciences, Theoretical and Applied Fracture Mechanics, and arXiv. The most frequent publication venues include:

  • Computer Methods in Applied Mechanics and Engineering
  • arXiv (Cornell University)
  • Computational Mechanics
  • PAMM
  • Applied Sciences

Selected recent papers authored or co-authored by Fadi Aldakheel include:

  • "Feed-Forward Neural Networks for Failure Mechanics Problems," 2021, Applied Sciences
  • "Efficient multiscale modeling of heterogeneous materials using deep neural networks," 2023, Computational Mechanics
  • "A microscale model for concrete failure in poro-elasto-plastic media," 2020, Theoretical and Applied Fracture Mechanics
  • "A general phase-field model for fatigue failure in brittle and ductile solids," 2021, Computational Mechanics
  • "Phase field cohesive zone modeling for fatigue crack propagation in quasi-brittle materials," 2024, Computer Methods in Applied Mechanics and Engineering

Fadi Aldakheel collaborates frequently with other researchers in the field. Regular co-authors include Peter Wriggers, Blaž Hudobivnik, Nima Noii, Yousef Heider, and Thomas Wick.

Best Publications

  • Phase Field Modeling of Fracture in Multi-Physics Problems. Part II. Coupled Brittle-to-Ductile Failure Criteria and Crack Propagation in Thermo-Elastic-Plastic Solids

    C. Miehe;M. Hofacker;L.-M. Schänzel;F. Aldakheel

  • Phase field modeling of ductile fracture at finite strains: A variational gradient-extended plasticity-damage theory

    Christian Miehe;Fadi Aldakheel;Arun Raina

  • Phase field modeling of fracture in anisotropic brittle solids

    S. Teichtmeister;D. Kienle;F. Aldakheel;M.-A. Keip

  • Phase-field modeling of brittle fracture using an efficient virtual element scheme

    Fadi Aldakheel;Blaž Hudobivnik;Ali Hussein;Peter Wriggers

  • Variational phase-field formulation of non-linear ductile fracture

    M. Dittmann;F. Aldakheel;J. Schulte;P. Wriggers

  • Phase-field modelling of ductile fracture: a variational gradient-extended plasticity-damage theory and its micromorphic regularization.

    C. Miehe;S. Teichtmeister;F. Aldakheel

  • A modified Gurson-type plasticity model at finite strains: formulation, numerical analysis and phase-field coupling

    Fadi Aldakheel;Peter Wriggers;Christian Miehe

  • A general phase-field model for fatigue failure in brittle and ductile solids

    Karlo Seleš;Fadi Aldakheel;Zdenko Tonković;Jurica Sorić

  • Phase-field modeling of porous-ductile fracture in non-linear thermo-elasto-plastic solids

    M. Dittmann;F. Aldakheel;J. Schulte;F. Schmidt

  • Phase-field modeling of ductile fracture at finite strains: A robust variational-based numerical implementation of a gradient-extended theory by micromorphic regularization

    Christian Miehe;Fadi Aldakheel;Stephan Teichtmeister

  • An adaptive global–local approach for phase-field modeling of anisotropic brittle fracture

    Nima Noii;Fadi Aldakheel;Thomas Wick;Peter Wriggers

  • Phase field modeling of fracture in porous plasticity: A variational gradient-extended Eulerian framework for the macroscopic analysis of ductile failure

    Christian Miehe;Daniel Kienle;Fadi Aldakheel;Stephan Teichtmeister

  • VIRTUAL ELEMENT FORMULATION FOR PHASE-FIELD MODELING OF DUCTILE FRACTURE

    Fadi Aldakheel;Blaž Hudobivnik;Peter Wriggers

  • A low order 3D virtual element formulation for finite elasto–plastic deformations

    Blaž Hudobivnik;Fadi Aldakheel;Peter Wriggers

  • Phase field cohesive zone modeling for fatigue crack propagation in quasi-brittle materials

    Unknown

  • A computational framework for brittle crack-propagation based on efficient virtual element method

    Ali Hussein;Fadi Aldakheel;Blaž Hudobivnik;Peter Wriggers

  • Current Trends and Open Problems in Computational Mechanics

    Unknown

  • Efficient multiscale modeling of heterogeneous materials using deep neural networks

    Unknown

  • A global–local approach for hydraulic phase-field fracture in poroelastic media

    Fadi Aldakheel;Nima Noii;Thomas Wick;Peter Wriggers

  • Feed-Forward Neural Networks for Failure Mechanics Problems

    Fadi Aldakheel;Ramish Satari;Peter Wriggers

  • Curvilinear virtual elements for contact mechanics

    Fadi Aldakheel;Blaž Hudobivnik;Edoardo Artioli;Lourenço Beirão da Veiga

  • Coupled thermomechanical response of gradient plasticity

    Fadi Aldakheel;Christian Miehe

  • Mixed variational principles and robust finite element implementations of gradient plasticity at small strains

    C. Miehe;F. Aldakheel;S. Mauthe

  • Variational gradient plasticity at finite strains. Part II: Local–global updates and mixed finite elements for additive plasticity in the logarithmic strain space

    Christian Miehe;Fabian Welschinger;Fadi Aldakheel

Frequent Co-Authors

Peter Wriggers
Peter Wriggers University of Hannover
Christian Miehe
Christian Miehe University of Stuttgart
Babak Safaei
Babak Safaei Eastern Mediterranean University
Saeid Sahmani
Saeid Sahmani University of Georgia
Bohayra Mortazavi
Bohayra Mortazavi University of Hannover
Hans Jürgen Maier
Hans Jürgen Maier University of Hannover

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