World's Best Scientists 2026 revealed!

Mario Milanese 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 Mario Milanese 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: 114 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: 61 scientists 317–326 publications: 69 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+

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

Mario Milanese 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 Mario Milanese 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: 125 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 106 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: 99 scientists
30 D-Index 93+

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

Overview

Mario Milanese is affiliated with the Polytechnic University of Turin in Italy. Their research primarily focuses on the field of Engineering, with significant contributions in subfields such as Control and Systems Engineering, Aerospace Engineering, Astronomy and Astrophysics, Global and Planetary Change, and Artificial Intelligence.

The scientist's body of work covers several main topics, including:

  • Control Systems and Identification
  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Spacecraft Dynamics and Control
  • Inertial Sensor and Navigation
  • Space Satellite Systems and Control
  • Adaptive Control of Nonlinear Systems

Milanese has published research extensively in several venues, frequently appearing in:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Acta Astronautica
  • International Journal of Control
  • Aerospace Science and Technology

Notable recent papers include:

  • "A time-varying SIRD model for the COVID-19 contagion in Italy" (2020), published in Annual Reviews in Control
  • "A Modified SIR Model for the COVID-19 Contagion in Italy" (2020), published by Cineca Institutional Research Information System (Tor Vergata University)
  • "The LISA DFACS: A nonlinear model for the spacecraft dynamics" (2020), published in Aerospace Science and Technology
  • "The LISA DFACS: Model Predictive Control design for the test mass release phase" (2022), published in Acta Astronautica
  • "Design of experiments for nonlinear system identification: A set membership approach" (2020), published in Automatica

Frequent co-authors collaborating with Milanese include:

  • Michele Pagone
  • Mattia Boggio
  • Giuseppe C. Calafiore
  • Cesare Donati
  • Martina Mammarella

Best Publications

  • Optimal algorithms theory for robust estimation and prediction

    M. Milanese;R. Tempo

  • Set Membership identification of nonlinear systems

    Mario Milanese;Carlo Novara

  • Semi-Active Suspension Control Using “Fast” Model-Predictive Techniques

    M. Canale;M. Milanese;C. Novara

  • High Altitude Wind Energy Generation Using Controlled Power Kites

    M. Canale;L. Fagiano;M. Milanese

  • Power Kites for Wind Energy Generation [Applications of Control]

    Massimo Canale;Lorenzo Fagiano;Mario Milanese

  • Robust vehicle yaw control using an active differential and IMC techniques

    Massimo Canale;Lorenzo Fagiano;Mario Milanese;P. Borodani

  • Combined Automatic Lane-Keeping and Driver's Steering Through a 2-DOF Control Strategy

    V. Cerone;M. Milanese;D. Regruto

  • Airborne Wind Energy: An overview

    L. Fagiano;M. Milanese

  • KiteGen : A revolution in wind energy generation

    Massimo Canale;Lorenzo Fagiano;Mario Milanese

  • Information-based complexity and nonparametric worst-case system identification

    M. Milanese;A. Vicino

  • Optimization of airborne wind energy generators

    Lorenzo Fagiano;Lorenzo Fagiano;Mario Milanese;Dario Piga

  • H/sub /spl infin// identification and model quality evaluation

    L. Giarre;M. Milanese;M. Taragna

  • Set Membership approximation theory for fast implementation of Model Predictive Control laws

    M. Canale;L. Fagiano;M. Milanese

  • Robust analysis and design of control systems using interval arithmetic

    S. Malan;M. Milanese;M. Taragna

  • Control of tethered airfoils for a new class of wind energy generator

    M. Canale;L. Fagiano;M. Ippolito;M. Milanese

  • Optimality of central and projection algorithms for bounded uncertainty

    B Z Kacewitcz;M Milanese;R Tempo;A Vicino

  • Computation of nonconservative stability perturbation bounds for systems with nonlinearly correlated uncertainties

    A. Vicino;A. Tesi;M. Milanese

  • Conditionally optimal algorithms and estimation of reduced order models

    B. Z. Kacewicz;M. Milanese;A. Vicino

  • Model quality evaluation in set membership identification

    L. Giarré;B. Z. Kacewicz;M. Milanese

  • Yaw Stability Control Design Through a Mixed-Sensitivity Approach

    V. Cerone;M. Milanese;D. Regruto

Frequent Co-Authors

Lorenzo Fagiano
Lorenzo Fagiano Polytechnic University of Milan
Antonio Vicino
Antonio Vicino University of Siena
Roberto Tempo
Roberto Tempo Polytechnic University of Turin
Kameshwar Poolla
Kameshwar Poolla University of California, Berkeley
Sergio M. Savaresi
Sergio M. Savaresi Polytechnic University of Milan
Alberto Tesi
Alberto Tesi University of Florence
Alan F. Hofmann
Alan F. Hofmann University of California, San Diego
Luigi Barbara
Luigi Barbara University of Bologna

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Mechanical and Aerospace Engineering, exploring related fields can broaden career opportunities. One approach is to consider interdisciplinary programs that blend technical skills with healthcare or communication sciences. For instance, the easiest slp masters programs to get into provide accessible options for those looking to complement engineering expertise with speech-language pathology knowledge.

Understanding the financial commitment is crucial when selecting an online degree. Resources such as online speech pathology degree tuition and fees offer detailed insights into the costs involved, helping students plan effectively and avoid unexpected expenses.

Veterans pursuing higher education in related disciplines can benefit from specialized programs designed to support their transition. Programs highlighted at speech pathology programs online for veterans showcase tailored resources and flexible learning environments ideal for servicemembers and veterans.

For those aiming to accelerate their studies, options like the best 5 year speech pathology programs demonstrate how structured pathways can reduce time-to-degree completion, allowing students to enter the workforce sooner while maintaining academic quality.

Best Scientists Citing Mario Milanese

Trending Scientists

Recently Published Articles