World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
44
Citations
8037
World Ranking
1607
National Ranking
41

Stefano Beretta 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 Stefano Beretta 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: 280 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Stefano Beretta 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 Stefano Beretta 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: 44 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Stefano Beretta is affiliated with the Polytechnic University of Milan in Italy and has a substantial record of contributions in the field of engineering, with a focus on mechanical engineering and related subfields. Their work spans several areas including automotive engineering, mechanics of materials, aerospace engineering, and materials chemistry.

The scientist's research prominently covers topics related to additive manufacturing and fatigue behavior. Major topics of their work include:

  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • Welding Techniques and Residual Stresses
  • Fatigue and fracture mechanics
  • High Temperature Alloys and Creep
  • Aluminum Alloy Microstructure Properties
  • High Entropy Alloys Studies

Stefano Beretta has published extensively in several journals. The most frequent publication venues include:

  • International Journal of Fatigue (13 publications)
  • Theoretical and Applied Fracture Mechanics (4 publications)
  • Materials & Design (4 publications)
  • Metals (3 publications)
  • Fatigue & Fracture of Engineering Materials & Structures (3 publications)

Recent papers authored or co-authored by Beretta illustrate the focus on fatigue and additive manufacturing, with notable works including:

  • Fatigue strength assessment of "as built" AlSi10Mg manufactured by SLM with different build orientations, 2020, International Journal of Fatigue
  • More than 25 years of extreme value statistics for defects: Fundamentals, historical developments, recent applications, 2021, International Journal of Fatigue
  • Damage tolerant design of additively manufactured metallic components subjected to cyclic loading: State of the art and challenges, 2021, Progress in Materials Science
  • High cycle fatigue behavior and life prediction for additively manufactured 17-4 PH stainless steel: Effect of sub-surface porosity and surface roughness, 2020, Theoretical and Applied Fracture Mechanics
  • Killer notches: The effect of as-built surface roughness on fatigue failure in AlSi10Mg produced by laser powder bed fusion, 2020, Additive Manufacturing

Their network of frequent co-authors includes several collaborators, such as:

  • L. Patriarca
  • S. Foletti
  • G. Minerva
  • Anton du Plessis
  • Francesco Sausto

Best Publications

  • A comparison of fatigue strength sensitivity to defects for materials manufactured by AM or traditional processes

    Stefano Beretta;Simone Romano

  • Fatigue properties of AlSi10Mg obtained by additive manufacturing: Defect-based modelling and prediction of fatigue strength

    S. Romano;Angelika Brückner-Foit;A. Brandão;J. Gumpinger

  • Safe life and damage tolerance aspects of railway axles – A review

    U. Zerbst;S. Beretta;G. Köhler;A. Lawton

  • An investigation on the influence of rotary bending and press fitting on stress intensity factors and fatigue crack growth in railway axles

    M. Madia;S. Beretta;U. Zerbst

  • Qualification of AM parts: Extreme value statistics applied to tomographic measurements

    S. Romano;A. Brandão;J. Gumpinger;M. Gschweitl

  • STATISTICAL ANALYSIS OF DEFECTS FOR FATIGUE STRENGTH PREDICTION AND QUALITY CONTROL OF MATERIALS

    S Beretta;Y Murakami

  • Small defects and Inhomogeneities in fatigue strength: experiments, models and statistical implications

    Y. Murakami;S. Beretta

  • Damage tolerant design of additively manufactured metallic components subjected to cyclic loading: State of the art and challenges.

    Uwe Zerbst;Giovanni Bruno;Jean-Yves Buffiere;Thomas Wegener

  • Probabilistic framework for multiaxial LCF assessment under material variability

    S. P. Zhu;S. P. Zhu;Stefano Foletti;Stefano Beretta

  • High cycle fatigue behavior and life prediction for additively manufactured 17-4 PH stainless steel: Effect of sub-surface porosity and surface roughness

    Simone Romano;P.D. Nezhadfar;Nima Shamsaei;Mohsen Seifi;Mohsen Seifi

  • Fatigue strength assessment of “as built” AlSi10Mg manufactured by SLM with different build orientations

    S. Beretta;M. Gargourimotlagh;S. Foletti;A. du Plessis

  • Killer notches: The effect of as-built surface roughness on fatigue failure in AlSi10Mg produced by laser powder bed fusion

    A. du Plessis;A. du Plessis;S. Beretta

  • Fracture mechanics and scale effects in the fatigue of railway axles

    S. Beretta;A. Ghidini;F. Lombardo

  • On the application of Dang Van criterion to rolling contact fatigue

    H. J. Desimone;A. Bernasconi;S. Beretta

  • Efficient gene editing of human long-term hematopoietic stem cells validated by clonal tracking.

    Samuele Ferrari;Aurelien Jacob;Stefano Beretta;Giulia Unali

  • Fatigue behaviour of tensile-shear loaded clinched joints

    M. Carboni;S. Beretta;M. Monno

  • Quality control of AlSi10Mg produced by SLM: Metallography versus CT scans for critical defect size assessment

    S. Romano;A. Abel;J. Gumpinger;A.D. Brandão

  • Corrosion–fatigue of A1N railway axle steel exposed to rainwater

    S. Beretta;M. Carboni;G. Fiore;A. Lo Conte

  • Largest-extreme-value distribution analysis of multiple inclusion types in determining steel cleanliness

    S. Beretta;Y. Murakami

  • Defect tolerant design of automotive components

    S. Beretta;A. Blarasin;M. Endo;T. Giunti

  • Experimental and numerical investigation on compressive fatigue strength of lattice structures of AlSi7Mg manufactured by SLM

    L. Boniotti;S. Beretta;L. Patriarca;L. Rigoni

Frequent Co-Authors

Uwe Zerbst
Uwe Zerbst Federal Institute For Materials Research and Testing
Shun-Peng Zhu
Shun-Peng Zhu University of Electronic Science and Technology of China
Yukitaka Murakami
Yukitaka Murakami Kyushu University
Francesco Braghin
Francesco Braghin Polytechnic University of Milan
Marco Giglio
Marco Giglio Polytechnic University of Milan
Huseyin Sehitoglu
Huseyin Sehitoglu University of Illinois at Urbana-Champaign
Nima Shamsaei
Nima Shamsaei Auburn University
Barbara Previtali
Barbara Previtali Polytechnic University of Milan
Mario Guagliano
Mario Guagliano Polytechnic University of Milan
Stefano P. Trasatti
Stefano P. Trasatti University of Milan

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