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Mechanical and Aerospace Engineering
Switzerland
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
61
Citations
12266
World Ranking
655
National Ranking
10

Dirk Mohr publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Dirk Mohr sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 194 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Dirk Mohr D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Dirk Mohr sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 61 D-Index — 82nd percentile

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

The last bar groups every scientist with 93 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award

Overview

Dirk Mohr is affiliated with ETH Zurich in Switzerland and has contributed extensively to the fields of Engineering and Materials Science. Their work is mainly situated within the subfields of Mechanical Engineering, Mechanics of Materials, and Materials Chemistry. Additional research areas include Biomedical Engineering and Civil and Structural Engineering.

The primary focus of Mohr's research involves various aspects of material behavior and simulation techniques. Key topics covered in their work encompass Metal Forming Simulation Techniques, Metallurgy and Material Forming, High-Velocity Impact and Material Behavior, Cellular and Composite Structures, Microstructure and Mechanical Properties, Machine Learning in Materials Science, and Model Reduction and Neural Networks.

Mohr has published numerous papers in several notable scientific venues. The most frequent publication outlets include:

  • International Journal of Plasticity
  • International Journal of Solids and Structures
  • International Journal of Mechanical Sciences
  • Acta Materialia
  • Journal of the Mechanics and Physics of Solids

Significant recent papers authored or coauthored by Mohr include:

  • "On the potential of recurrent neural networks for modeling path dependent plasticity," 2020, Journal of the Mechanics and Physics of Solids
  • "Using neural networks to represent von Mises plasticity with isotropic hardening," 2020, International Journal of Plasticity
  • "Strain rate and temperature dependent fracture of aluminum alloy 7075: Experiments and neural network modeling," 2020, International Journal of Plasticity
  • "Neural network model describing the temperature- and rate-dependent stress-strain response of polypropylene," 2020, International Journal of Plasticity
  • "On the importance of self-consistency in recurrent neural network models representing elasto-plastic solids," 2021, Journal of the Mechanics and Physics of Solids

Frequent coauthors who have collaborated with Mohr include Christian C. Roth, Thomas Tancogne-Dejean, Vincent Grolleau, Nikolaos Karathanasopoulos, and Maysam B. Gorji.

Best Publications

  • Additively-manufactured metallic micro-lattice materials for high specific energy absorption under static and dynamic loading

    Thomas Tancogne-Dejean;Adriaan B. Spierings;Dirk Mohr

  • Micromechanically-motivated phenomenological Hosford–Coulomb model for predicting ductile fracture initiation at low stress triaxialities

    Dirk Mohr;Dirk Mohr;Stephane J. Marcadet;Stephane J. Marcadet

  • 3D Plate-Lattices: An Emerging Class of Low-Density Metamaterial Exhibiting Optimal Isotropic Stiffness.

    Thomas Tancogne-Dejean;Thomas Tancogne-Dejean;Marianna Diamantopoulou;Marianna Diamantopoulou;Maysam B. Gorji;Maysam B. Gorji;Colin Bonatti;Colin Bonatti

  • Effect of strain rate on ductile fracture initiation in advanced high strength steel sheets: Experiments and modeling

    Christian C. Roth;Dirk Mohr;Dirk Mohr

  • On the predictive capabilities of the shear modified Gurson and the modified Mohr–Coulomb fracture models over a wide range of stress triaxialities and Lode angles

    Matthieu Dunand;Matthieu Dunand;Dirk Mohr;Dirk Mohr

  • Ductile fracture experiments with locally proportional loading histories

    Christian C. Roth;Christian C. Roth;Dirk Mohr;Dirk Mohr;Dirk Mohr

  • Hybrid experimental-numerical analysis of basic ductile fracture experiments for sheet metals

    Matthieu Dunand;Dirk Mohr;Dirk Mohr

  • Mechanical performance of additively-manufactured anisotropic and isotropic smooth shell-lattice materials: Simulations & experiments

    Colin Bonatti;Colin Bonatti;Dirk Mohr

  • Smooth-shell metamaterials of cubic symmetry: Anisotropic elasticity, yield strength and specific energy absorption

    Colin Bonatti;Colin Bonatti;Dirk Mohr

  • Experiments and modeling of anisotropic aluminum extrusions under multi-axial loading – Part II: Ductile fracture

    Meng Luo;Matthieu Dunand;Dirk Mohr;Dirk Mohr

  • Large deformation response of additively-manufactured FCC metamaterials: From octet truss lattices towards continuous shell mesostructures

    Colin Bonatti;Colin Bonatti;Dirk Mohr

  • On the potential of recurrent neural networks for modeling path dependent plasticity

    Maysam B. Gorji;Maysam B. Gorji;Maysam B. Gorji;Mojtaba Mozaffar;Julian N. Heidenreich;Julian N. Heidenreich;Jian Cao

  • Stiffness and specific energy absorption of additively-manufactured metallic BCC metamaterials composed of tapered beams

    Thomas Tancogne-Dejean;Dirk Mohr

  • Ductile fracture of aluminum 2024-T351 under proportional and non-proportional multi-axial loading: Bao–Wierzbicki results revisited

    Jessica Papasidero;Véronique Doquet;Dirk Mohr;Dirk Mohr

  • Effect of stress triaxiality and Lode angle on the kinetics of strain-induced austenite-to-martensite transformation

    Allison M. Beese;Dirk Mohr;Dirk Mohr

  • Calibration of Stress-triaxiality Dependent Crack Formation Criteria: A New Hybrid Experimental–Numerical Method

    D. Mohr;S. Henn

  • Machine-learning based temperature- and rate-dependent plasticity model: Application to analysis of fracture experiments on DP steel

    Xueyang Li;Christian C. Roth;Dirk Mohr

  • Effect of Lode parameter on plastic flow localization after proportional loading at low stress triaxialities

    Matthieu Dunand;Matthieu Dunand;Dirk Mohr;Dirk Mohr

  • Using split Hopkinson pressure bars to perform large strain compression tests on polyurea at low, intermediate and high strain rates

    Jongmin Shim;Dirk Mohr;Dirk Mohr

  • Elastically-isotropic truss lattice materials of reduced plastic anisotropy

    Thomas Tancogne-Dejean;Dirk Mohr

  • Optimized butterfly specimen for the fracture testing of sheet materials under combined normal and shear loading

    Matthieu Dunand;Matthieu Dunand;Dirk Mohr;Dirk Mohr

  • Evaluation of associated and non-associated quadratic plasticity models for advanced high strength steel sheets under multi-axial loading

    Dirk Mohr;Dirk Mohr;Matthieu Dunand;Matthieu Dunand;Keun-Hwan Kim;Keun-Hwan Kim

Frequent Co-Authors

Jean-Baptiste Leblond
Jean-Baptiste Leblond Université Paris Cité
Johan Jacquemin
Johan Jacquemin François Rabelais University
Jeong Whan Yoon
Jeong Whan Yoon Korea Advanced Institute of Science and Technology
Ashkan Vaziri
Ashkan Vaziri Northeastern University
Pierre Collet
Pierre Collet University of Strasbourg

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