World's Best Scientists 2026 revealed!

Mario Milanese publications per year

The chart shows the history of publications by Mario Milanese between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mario Milanese published across 26 years, from 2000 to 2025, averaging 10 papers a year. Output peaked at 25 publications in 2018. 35 of the 259 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2018. 2000: 1 publication 2001: 4 publications 2002: 3 publications 2003: 5 publications 2004: 3 publications 2005: 8 publications 2006: 5 publications 2007: 6 publications 2008: 5 publications 2009: 12 publications 2010: 5 publications 2011: 14 publications 2012: 6 publications 2013: 11 publications 2014: 13 publications 2015: 15 publications 2016: 15 publications 2017: 15 publications 2018: 25 publications 2019: 15 publications 2020: 13 publications 2021: 6 publications 2022: 9 publications 2023: 10 publications 2024: 16 publications 2025: 19 publications
2000 2025

259 publications in total across all disciplines

View publications per year as a table
Mario Milanese: publications per year, 2000 to 2025
Year Publications
2000 1
2001 4
2002 3
2003 5
2004 3
2005 8
2006 5
2007 6
2008 5
2009 12
2010 5
2011 14
2012 6
2013 11
2014 13
2015 15
2016 15
2017 15
2018 25
2019 15
2020 13
2021 6
2022 9
2023 10
2024 16
2025 19
Total 259
Download as CSV

Mario Milanese publications per year - data summary

  • Mario Milanese, a Mechanical and Aerospace Engineering scholar from Polytechnic University of Turin, has 259 publications recorded across 26 years, from 2000 to 2025.
  • The oldest publication on record dates to 2000 and the most recent to 2025.
  • The most productive year is 2018, with 25 publications.
  • The least productive year with any output is 2000, with 1 publication.
  • The rate of publication averages 10.0 papers per year over the whole span, or 10.0 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 60 publications, 23% of the career total.
  • Split into equal eras - 2000-2008: 40 publications (4.4 per year); 2009-2017: 106 publications (11.8 per year); 2018-2025: 113 publications (14.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. 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
47–56 publications 659+

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

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
Download as CSV

Mario Milanese publication distribution in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the publication count of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 63 ranges running from 47–56 to 659+ publications.
  • The median of the discipline falls in the 217–226 publications range.
  • The most crowded range is 147–156 publications, holding 155 scientists (4% of the field).
  • 46% of the field sits in the lowest quarter of the value range (up to 197–206 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 659 publications or more, 100 scientists in all (3% of the field).

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.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. 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+

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

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
Download as CSV

Mario Milanese D-index placement in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 64 ranges running from 30 to 93+ D-Index.
  • The median of the discipline falls in the 43 D-Index range.
  • The most crowded range is 34 D-Index, holding 189 scientists (5% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 45 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 93 D-Index or more, 100 scientists in all (3% of the field).

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