2026 Lorenzo Fagiano: Mechanical and Aerospace Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mechanical and Aerospace Engineering	38	2280	2124	81	80	210	5450

Lorenzo Fagiano 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 Lorenzo Fagiano sits on this spectrum.

47 publications 659+

This scientist: 210 publications — 48th percentile

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

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

Lorenzo Fagiano 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 Lorenzo Fagiano sits on this spectrum.

30 D-Index 93+

This scientist: 38 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Lorenzo Fagiano is affiliated with the Polytechnic University of Milan in Italy. Their research contributions primarily focus on engineering, with a significant emphasis on control and systems engineering as well as aerospace engineering.

Their recent papers cover a range of topics related to advanced control systems and airborne energy systems. Notable publications include:

"Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems" (2021), published in Annual Reviews in Control
"Industry engagement with control research: Perspective and messages" (2020), published in Annual Reviews in Control
"Autonomous Airborne Wind Energy Systems: Accomplishments and Challenges" (2021), published in Annual Review of Control Robotics and Autonomous Systems
"Multitrajectory Model Predictive Control for Safe UAV Navigation in an Unknown Environment" (2022), published in IEEE Transactions on Control Systems Technology
"Learning-based predictive control of the cooling system of a large business centre" (2020), published in Control Engineering Practice

Fagiano's frequent co-authors include:

Lorenzo Sabug
Fredy Ruíz
Danilo Saccani
Riccardo Scattolini
Michele Bolognini

Their research has appeared regularly in the following publication venues:

IFAC-PapersOnLine
arXiv (Cornell University)
Control Engineering Practice
2021 European Control Conference (ECC)
2022 IEEE Conference on Control Technology and Applications (CCTA)

Main fields of study comprise engineering with a significant number of works focused on control and systems engineering, aerospace engineering, industrial and manufacturing engineering, electrical and electronic engineering, and computer vision and pattern recognition.

Main topics addressed in their work include:

Advanced Control Systems Optimization
Fault Detection and Control Systems
Aerospace Engineering and Energy Systems
Spacecraft Dynamics and Control
Robotic Path Planning Algorithms
Control Systems and Identification
Underwater Vehicles and Communication Systems

Best Publications

The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations

Georg Schildbach;Lorenzo Fagiano;Christoph Frei;Manfred Morari

307
Citations
Robust Model Predictive Control via Scenario Optimization

Giuseppe C. Calafiore;L. Fagiano

294
Citations
High Altitude Wind Energy Generation Using Controlled Power Kites

M. Canale;L. Fagiano;M. Milanese

268
Citations
Future emerging technologies in the wind power sector: A European perspective

Simon Watson;Alberto Moro;Vera Reis;Charalampos Baniotopoulos

250
Citations
Automatic Crosswind Flight of Tethered Wings for Airborne Wind Energy: Modeling, Control Design, and Experimental Results

Lorenzo Fagiano;Aldo U. Zgraggen;Manfred Morari;Mustafa Khammash

212
Citations
Vehicle Yaw Control via Second-Order Sliding-Mode Technique

M. Canale;L. Fagiano;A. Ferrara;C. Vecchio

188
Citations
Adaptive receding horizon control for constrained MIMO systems

Marko Tanaskovic;Lorenzo Fagiano;Roy Smith;Manfred Morari

174
Citations
Power Kites for Wind Energy Generation [Applications of Control]

Massimo Canale;Lorenzo Fagiano;Mario Milanese

170
Citations
Robust vehicle yaw control using an active differential and IMC techniques

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

166
Citations
Airborne Wind Energy: An overview

L. Fagiano;M. Milanese

156
Citations
Data-driven control of nonlinear systems: An on-line direct approach

Marko Tanaskovic;Marko Tanaskovic;Lorenzo Mario Fagiano;Carlo Novara;Manfred Morari

155
Citations
Generalized terminal state constraint for model predictive control

Lorenzo Fagiano;Lorenzo Fagiano;Andrew R. Teel

154
Citations
KiteGen : A revolution in wind energy generation

Massimo Canale;Lorenzo Fagiano;Mario Milanese

148
Citations
High-Altitude Wind Power Generation

L. Fagiano;M. Milanese;D. Piga

143
Citations
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems

Chris Vermillion;Mitchell Cobb;Lorenzo Fagiano;Rachel Leuthold

128
Citations
Optimization of airborne wind energy generators

Lorenzo Fagiano;Lorenzo Fagiano;Mario Milanese;Dario Piga

128
Citations
Set Membership approximation theory for fast implementation of Model Predictive Control laws

M. Canale;L. Fagiano;M. Milanese

121
Citations
Randomized Solutions to Convex Programs with Multiple Chance Constraints

Georg Schildbach;Lorenzo Fagiano;Manfred Morari

116
Citations
Control of tethered airfoils for a new class of wind energy generator

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

114
Citations
Power kites for wind energy generation

Massimo Canale;Lorenzo Fagiano;Mario Milanese

112
Citations
Stochastic model predictive control of LPV systems via scenario optimization

Giuseppe C. Calafiore;Lorenzo Fagiano;Lorenzo Fagiano

111
Citations
Nonlinear stochastic model predictive control via regularized polynomial chaos expansions

Lorenzo Fagiano;Mustafa Khammash

97
Citations
Randomized Solutions to Convex Programs with Multiple Chance Constraints

Georg Schildbach;Lorenzo Fagiano;Manfred Morari

18
Citations

Frequent Co-Authors

Mario Milanese Polytechnic University of Turin

Manfred Morari University of Pennsylvania

Riccardo Scattolini Polytechnic University of Milan

Marcello Farina Polytechnic University of Milan

Mustafa Khammash ETH Zurich

Giuseppe Carlo Calafiore Polytechnic University of Turin

Roy S. Smith ETH Zurich

Antonella Ferrara University of Pavia

Patrizio Colaneri Polytechnic University of Milan

Bassam Bamieh University of California, Santa Barbara

External Links

Personal website of Lorenzo Fagiano

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