World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
2828
World Ranking
9490
National Ranking
380

Franco Concli 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 Franco Concli 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: 201 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Franco Concli 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 Franco Concli 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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Franco Concli is affiliated with the Free University of Bozen-Bolzano in Italy. Their research activity is primarily situated in the field of Engineering, with a focus on Mechanical Engineering and its related subfields. They have contributed notably to areas such as Mechanics of Materials, Automotive Engineering, Materials Chemistry, and Industrial and Manufacturing Engineering.

The main topics of their research work include:

  • Gear and Bearing Dynamics Analysis
  • Tribology and Lubrication Engineering
  • Additive Manufacturing and 3D Printing Technologies
  • Additive Manufacturing Materials and Processes
  • Hydraulic and Pneumatic Systems
  • Fatigue and fracture mechanics
  • Cellular and Composite Structures

Recent publications by Franco Concli cover a range of subjects within these domains, especially focusing on lattice structures, gear mechanics, and fluid dynamics applied to mechanical components. Selected papers include:

  • A Review of the Selective Laser Melting Lattice Structures and Their Numerical Models, 2020, Advanced Engineering Materials
  • Compressive behavior assessment of a newly developed circular cell-based lattice structure, 2021, Materials & Design
  • Oil distribution and churning losses of gearboxes: Experimental and numerical analysis, 2020, Tribology International
  • Computational Fluid Dynamics Applied to Lubricated Mechanical Components: Review of the Approaches to Simulate Gears, Bearings, and Pumps, 2020, Applied Sciences
  • Gear Root Bending Strength: A Comparison Between Single Tooth Bending Fatigue Tests and Meshing Gears, 2021, Journal of Mechanical Design

Frequent co-authors in their work include:

  • Lorenzo Maccioni
  • Lorenzo Fraccaroli
  • Marco Nicola Mastrone
  • Lorenzo Pagliari
  • Seyedahmad Taghizadeh

Contributions from Franco Concli have been published repeatedly in specific scientific venues. The most frequent publication outlets comprise:

  • Applied Sciences
  • International Journal of Computational Methods and Experimental Measurements
  • WIT transactions on engineering sciences
  • Forschung im Ingenieurwesen
  • Lubricants

Best Publications

  • A Review of the Selective Laser Melting Lattice Structures and Their Numerical Models

    Zaki Alomar;Franco Concli

  • Numerical modeling of the power losses in geared transmissions: Windage, churning and cavitation simulations with a new integrated approach that drastically reduces the computational effort

    Franco Concli;Carlo Gorla

  • Hydraulic losses of a gearbox: CFD analysis and experiments

    Carlo Gorla;Franco Concli;Karsten Stahl;Bernd-Robert Höhn

  • CFD Simulations of Splash Losses of a Gearbox

    Carlo Gorla;Franco Concli;Karsten Stahl;Bernd-Robert Höhn

  • Compressive behavior assessment of a newly developed circular cell-based lattice structure

    Zaki Alomar;Franco Concli

  • Numerical modeling of the churning power losses in planetary gearboxes: An innovative partitioning-based meshing methodology for the application of a computational effort reduction strategy to complex gearbox configurations

    Franco Concli;Carlo Gorla

  • Oil distribution and churning losses of gearboxes: Experimental and numerical analysis

    Marco Nicola Mastrone;Erwin Adi Hartono;Valery Chernoray;Franco Concli

  • Windage, churning and pocketing power losses of gears: different modeling approaches for different goals

    Franco Concli;Carlo Gorla

  • Computational Fluid Dynamics Applied to Lubricated Mechanical Components: Review of the Approaches to Simulate Gears, Bearings, and Pumps

    Lorenzo Maccioni;Franco Concli

  • Churning power losses of ordinary gears: a new approach based on the internal fluid dynamics simulations

    Franco Concli;Carlo Gorla;Augusto Della Torre;Gianluca Montenegro

  • Gear Root Bending Strength: A Comparison Between Single Tooth Bending Fatigue Tests and Meshing Gears

    Luca Bonaiti;Ahmed Bayoumi Mahmoud Bayoumi;Franco Concli;Francesco Rosa

  • Windage Power Losses of Ordinary Gears: Different CFD Approaches Aimed to the Reduction of the Computational Effort

    Franco Concli;Carlo Gorla;Augusto Della Torre;Gianluca Montenegro

  • Study of the impact of aeration on the lubricant behavior in a tapered roller bearing: Innovative numerical modelling and validation via particle image velocimetry

    Lorenzo Maccioni;Valery Chernoray;Marco Nicola Mastrone;Christof Bohnert

  • Numerical and experimental assessment of the mechanical properties of 3D printed 18-Ni300 steel trabecular structures produced by Selective Laser Melting – a lean design approach

    Franco Concli;Andrea Gilioli

  • A mixed FEM and lumped-parameter dynamic model for evaluating the modal properties of planetary gearboxes

    Franco Concli;Luca Cortese;Renato Vidoni;Filippo Nalli

  • Lubrication of gearboxes: CFD analysis of a cycloidal gear set

    Franco Concli;Lorenzo Maccioni;Carlo Gorla

  • Austempered Ductile Iron (ADI) for gears: Contact and bending fatigue behavior

    Franco Concli

  • Pressure distribution in small hydrodynamic journal bearings considering cavitation: a numerical approach based on the open‐source CFD code OpenFOAM®

    Franco Concli

  • Analysis of power losses in an industrial planetary speed reducer: Measurements and computational fluid dynamics calculations

    Franco Concli;Edoardo Conrado;Carlo Gorla

  • A New Integrated Approach for the Prediction of the Load Independent Power Losses of Gears: Development of a Mesh-Handling Algorithm to Reduce the CFD Simulation Time

    F. Concli;A. Della Torre;C. Gorla;G. Montenegro

  • Thermal and efficiency characterization of a low-backlash planetary gearbox: An integrated numerical-analytical prediction model and its experimental validation

    Franco Concli

  • Innovative Meshing Strategies for Bearing Lubrication Simulations

    Franco Concli;Christian Thomas Schaefer;Christof Bohnert

  • A CFD ANALYSIS OF THE OIL SQUEEZING POWER LOSSES OF A GEAR PAIR

    Franco Concli;Carlo Gorla

  • Low-loss gears precision planetary gearboxes: reduction of the load dependent power losses and efficiency estimation through a hybrid analytical-numerical optimization tool

    F. Concli

  • Oil Squeezing Power Losses In Gears:A CFD Analysis

    F. Concli;C. Gorla

  • Influence Of Lubricant Temperature, Lubricant Level And Rotational Speed On The Churning Power Loss In An Industrial Planetary Speed Reducer: Computational And Experimental Study

    Franco Concli;Carlo Gorla

  • Analysis of the Oil Squeezing Power Losses of a Spur Gear Pair by Mean of CFD Simulations

    Franco Concli;Carlo Gorla

Frequent Co-Authors

Marco Giglio
Marco Giglio Polytechnic University of Milan
Andrea Manes
Andrea Manes Polytechnic University of Milan

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