World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
3809
World Ranking
9274
National Ranking
365

Enrico Meli 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 Enrico Meli 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: 244 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Enrico Meli 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 Enrico Meli 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.

Overview

Enrico Meli is a researcher affiliated with the University of Florence in Italy. Their work primarily spans the field of Engineering, with a significant focus on Mechanical Engineering, Mechanics of Materials, and Civil and Structural Engineering. Additional areas of expertise include Materials Chemistry and Automotive Engineering.

Their research encompasses diverse topics within engineering, particularly:

  • Railway Engineering and Dynamics
  • Mechanical stress and fatigue analysis
  • Adhesion, Friction, and Surface Interactions
  • Metal Alloys Wear and Properties
  • Gear and Bearing Dynamics Analysis
  • Topology Optimization in Engineering
  • Tribology and Lubrication Engineering

Enrico Meli has contributed extensively to academic literature with 14 publications in the journal Wear, alongside works published in Civil-comp conferences, Engineering Failure Analysis, Tribology International, and SSRN Electronic Journal.

Frequent coauthors include:

  • Andrea Rindi (44 collaborations)
  • Haohao Ding (26 collaborations)
  • Zhiyong Shi (18 collaborations)
  • Roger Lewis (15 collaborations)
  • Wenjian Wang (13 collaborations)

Some of their recent papers include:

  • "Comparison of wear and rolling contact fatigue behaviours of bainitic and pearlitic rails under various rolling-sliding conditions," 2020, Wear
  • "Experimental study on wear properties of wheel and rail materials with different hardness values," 2021, Wear
  • "On the microstructure evolution and nanocrystalline formation of pearlitic wheel material in a rolling-sliding contact," 2020, Materials Characterization
  • "A signal analysis based hunting instability detection methodology for high-speed railway vehicles," 2020, Vehicle System Dynamics
  • "Study on the wear and damage behaviors of hypereutectoid rail steel in low temperature environment," 2020, Wear

Best Publications

  • A new AUV navigation system exploiting unscented Kalman filter

    Benedetto Allotta;Benedetto Allotta;Andrea Caiti;Andrea Caiti;Riccardo Costanzi;Riccardo Costanzi;Francesco Fanelli;Francesco Fanelli

  • Determination of wheel–rail contact points with semianalytic methods

    Monica Malvezzi;Enrico Meli;Stefano Falomi;Andrea Rindi

  • Development of a wear model for the prediction of wheel and rail profile evolution in railway systems

    M. Ignesti;M. Malvezzi;L. Marini;E. Meli

  • An unscented Kalman filter based navigation algorithm for autonomous underwater vehicles

    Benedetto Allotta;Benedetto Allotta;A. Caiti;A. Caiti;Luigi Chisci;R. Costanzi;R. Costanzi

  • Multibody modeling of railway vehicles: Innovative algorithms for the detection of wheel–rail contact points

    Stefano Falomi;Monica Malvezzi;Enrico Meli

  • Comparison of wear and rolling contact fatigue behaviours of bainitic and pearlitic rails under various rolling-sliding conditions

    Y. Hu;Y. Hu;L.C. Guo;M. Maiorino;J.P. Liu

  • A railway vehicle multibody model for real-time applications

    Enrico Meli;Monica Malvezzi;Susanna Papini;Luca Pugi

  • Dynamic Simulation of Railway Vehicles: Wheel/Rail Contact Analysis

    Jury Auciello;Enrico Meli;Stefano Falomi;Monica Malvezzi

  • Development of an innovative wheel–rail contact model for the analysis of degraded adhesion in railway systems

    B. Allotta;E. Meli;A. Ridolfi;A. Rindi

  • A novel kinematic architecture for portable hand exoskeletons

    Roberto Conti;Enrico Meli;Alessandro Ridolfi

  • Experimental study on wear properties of wheel and rail materials with different hardness values

    Y. Hu;Y. Hu;M. Watson;M. Maiorino;L. Zhou

  • Cooperative localization of a team of AUVs by a tetrahedral configuration

    B. Allotta;R. Costanzi;E. Meli;L. Pugi

  • Development of a wear model for the analysis of complex railway networks

    A. Innocenti;L. Marini;E. Meli;G. Pallini

  • Development of a model for the simultaneous analysis of wheel and rail wear in railway systems

    M. Ignesti;A. Innocenti;L. Marini;E. Meli

  • Energy storage systems to exploit regenerative braking in DC railway systems: Different approaches to improve efficiency of modern high-speed trains

    M. Ceraolo;G. Lutzemberger;E. Meli;L. Pugi

  • Energetic optimization of regenerative braking for high speed railway systems

    Amedeo Frilli;Enrico Meli;Daniele Nocciolini;Luca Pugi

  • UKF-Based Navigation System for AUVs: Online Experimental Validation

    Riccardo Costanzi;Francesco Fanelli;Enrico Meli;Alessandro Ridolfi

  • An innovative model for the prediction of wheel - Rail wear and rolling contact fatigue

    Elisa Butini;Lorenzo Marini;Martina Meacci;Enrico Meli

  • Effect of spherical dents on microstructure evolution and rolling contact fatigue of wheel/rail materials

    X.J. Zhao;X.J. Zhao;J. Guo;Q.Y. Liu;E. Butini

  • Design of a Series Elastic Transmission for hand exoskeletons

    M. Bianchi;M. Cempini;R. Conti;E. Meli

  • A low cost autonomous underwater vehicle for patrolling and monitoring

    Benedetto Allotta;Roberto Conti;Riccardo Costanzi;Francesco Fanelli

  • A comparison between EKF-based and UKF-based navigation algorithms for AUVs localization

    Benedetto Allotta;Luigi Chisci;Riccardo Costanzi;Francesco Fanelli

  • Preliminary development, simulation and validation of a weigh in motion system for railway vehicles

    E. Meli;L. Pugi

  • Determination of wheel–rail contact points: comparison between classical and neural network based procedures

    Stefano Falomi;Monica Malvezzi;Enrico Meli;Andrea Rindi

  • Development and validation of a wear model for the analysis of the wheel profile evolution in railway vehicles

    J. Auciello;M. Ignesti;Monica Malvezzi;E. Meli

  • An innovative wheel–rail contact model for multibody applications

    Silvia Magheri;Monica Malvezzi;Enrico Meli;Andrea Rindi

Frequent Co-Authors

Luca Pugi
Luca Pugi University of Florence
Benedetto Allotta
Benedetto Allotta University of Florence
Monica Malvezzi
Monica Malvezzi University of Siena
Luigi Chisci
Luigi Chisci University of Florence
Roger Lewis
Roger Lewis University of Sheffield
Nicola Vitiello
Nicola Vitiello Sant'Anna School of Advanced Studies
Joao Pombo
Joao Pombo University of Huddersfield
Shengyang Zhu
Shengyang Zhu Southwest Jiaotong University

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