World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
3028
World Ranking
9620
National Ranking
236

Ridha Hambli 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 Ridha Hambli 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Ridha Hambli 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 Ridha Hambli 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: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Ridha Hambli is affiliated with the University of Orléans in France and conducts research primarily in the fields of Medicine and Engineering. Their work spans several subfields including Surgery, Orthopedics and Sports Medicine, Biomedical Engineering, Mechanics of Materials, and Pathology and Forensic Medicine.

Their research covers a range of topics with emphasis on Bone health and osteoporosis research, Elasticity and Material Modeling, Spinal Fractures and Fixation Techniques, Spine and Intervertebral Disc Pathology, Pelvic and Acetabular Injuries, Bone fractures and treatments, and Collagen: Extraction and Characterization.

Hambli has contributed to multiple publications in various scientific venues. Notable journals where their work has appeared include:

  • Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
  • Frontiers in Bioengineering and Biotechnology
  • International Journal for Numerical Methods in Biomedical Engineering
  • Clinical Biomechanics
  • Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization

Selected recent papers authored or co-authored by Hambli include:

  • Effect of a new transpedicular vertebral device for the treatment or prevention of vertebral compression fractures: A finite element study (2023, Clinical Biomechanics)
  • Mesh-independent damage model for trabecular bone fracture simulation and experimental validation (2021, International Journal for Numerical Methods in Biomedical Engineering)
  • Prediction of proximal femur fracture risk from DXA images based on novel fracture indexes (2021, Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization)
  • A multiscale four-layer finite element model to predict the effects of collagen fibers on skin behavior under tension (2021, Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine)
  • Parametric investigation of the effects of load level on fatigue crack growth in trabecular bone based on artificial neural network computation (2020, Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine)

Throughout their career, Hambli has collaborated frequently with several researchers in their field. Frequent co-authors include Marouane El Mouss, Amna Rekik, Reade De Leacy, Cécile Vienney, and Said Zellagui.

Best Publications

  • Multiscale methodology for bone remodelling simulation using coupled finite element and neural network computation

    Ridha Hambli;Houda Katerchi;Claude-Laurent Benhamou

  • Fracture criteria identification using an inverse technique method and blanking experiment

    Unknown

  • Micro-CT finite element model and experimental validation of trabecular bone damage and fracture

    Unknown

  • Comparison between Lemaitre and Gurson damage models in crack growth simulation during blanking process

    Unknown

  • Finite element prediction of proximal femur fracture pattern based on orthotropic behaviour law coupled to quasi-brittle damage.

    Ridha Hambli;Awad Bettamer;Samir Allaoui

  • Real-time deformation of structure using finite element and neural networks in virtual reality applications

    Unknown

  • A Robust 3D Finite Element Simulation of Human Proximal Femur Progressive Fracture Under Stance Load with Experimental Validation

    Ridha Hambli;Samir Allaoui

  • Parameter identification of an elasto-plastic behaviour using artificial neural networks–genetic algorithm method

    Hamdi Aguir;Hédi BelHadjSalah;Ridha Hambli

  • Apparent damage accumulation in cancellous bone using neural networks.

    Ridha Hambli

  • Prediction of burr height formation in blanking processes using neural network

    Unknown

  • A quasi-brittle continuum damage finite element model of the human proximal femur based on element deletion

    Unknown

  • Finite element modeling of sheet-metal blanking operations with experimental verification

    Unknown

  • Physically based 3D finite element model of a single mineralized collagen microfibril

    Ridha Hambli;Abdelwahed Barkaoui

  • Finite element model fracture prediction during sheet-metal blanking processes

    Unknown

  • Blanking tool wear modeling using the finite element method

    Unknown

  • Consistent Finite Element mesh generation for meso-scale modeling of textile composites with preformed and compacted reinforcements

    Unknown

  • Design of Experiment Based Analysis for Sheet Metal Blanking Processes Optimisation

    Unknown

  • Application of a neural network for optimum clearance prediction in sheet metal blanking processes

    Unknown

  • Numerical procedure for multiscale bone adaptation prediction based on neural networks and finite element simulation

    Unknown

  • Finite element simulation of fine blanking processes using a pressure-dependent damage model

    Unknown

  • Inverse technique identification of material parameters using finite element and neural network computation

    A. Chamekh;H. Bel Hadj Salah;R. Hambli

  • Multiscale approach including microfibril scale to assess elastic constants of cortical bone based on neural network computation and homogenization method

    Abdelwahed Barkaoui;Abdessalem Chamekh;Tarek Merzouki;Ridha Hambli

  • Inverse identification using the bulge test and artificial neural networks

    A. Chamekh;H. BelHadjSalah;R. Hambli;A. Gahbiche

  • Statistical damage analysis of extrusion processes using finite element method and neural networks simulation

    Ridha Hambli

  • Multiscale prediction of crack density and crack length accumulation in trabecular bone based on neural networks and finite element simulation

    Ridha Hambli

  • Age and gender effects on bone mass density variation: finite elements simulation

    Abdelwahed Barkaoui;Rabeb Ben Kahla;Tarek Merzouki;Ridha Hambli

  • Integrated remodeling-to-fracture finite element model of human proximal femur behavior.

    Ridha Hambli;Eric Lespessailles;Claude-Laurent Benhamou

  • Prediction of denosumab effects on bone remodeling: A combined pharmacokinetics and finite element modeling.

    Ridha Hambli;Mohamed Hafedh Boughattas;Jean-Luc Daniel;Azeddine Kourta

  • Nanomechanical properties of mineralised collagen microfibrils based on finite elements method: biomechanical role of cross-links.

    Abdelwahed Barkaoui;Ridha Hambli

  • Strain–damage coupled algorithm for cancellous bone mechano-regulation with spatial function influence

    Ridha Hambli;Damien Soulat;Alain Gasser;Claude-Laurent Benhamou

  • Optimization of springback in L-bending process using a coupled Abaqus/Python algorithm

    Faiez Gassara;Ridha Hambli;Tarak Bouraoui;Foued El Halouani

  • Physiologically based mathematical model of transduction of mechanobiological signals by osteocytes.

    Ridha Hambli;Romain Rieger

  • Multiscale approach including microfibril scale to assess elastic constants of cortical bone based on neural network computation and homogenization method

    Abdelwahed Barkaoui;Abdessalem Chamekh;Merzouki Tarek;Ridha Hambli

  • Finite element 3D modeling of Mechanical Behaviour of Mineralized collagen Microfibril

    Abdelwahed Barkaoui;Ridha Hambli

Frequent Co-Authors

João Manuel R. S. Tavares
João Manuel R. S. Tavares University of Porto
Thomas M. Best
Thomas M. Best University of Miami
Serge Ferrari
Serge Ferrari University of Geneva

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