World's Best Scientists 2026 revealed!
Emilio Frazzoli

Emilio Frazzoli

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Electronics and Electrical Engineering
Switzerland
2026
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Mechanical and Aerospace Engineering
Switzerland
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
85
Citations
36996
World Ranking
146
National Ranking
6

Electronics and Electrical Engineering

D-Index
87
Citations
37454
World Ranking
341
National Ranking
10

Emilio Frazzoli 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 Emilio Frazzoli 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: 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 publications 659+

This scientist: 439 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Emilio Frazzoli 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 Emilio Frazzoli 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: 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+

This scientist: 85 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2026 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2019 - IEEE Fellow For contributions to motion planning and control of autonomous vehicles
  • 2017 - IEEE Kiyo Tomiyasu Award “For contributions to planning, control, and fleet operation algorithms for autonomous vehicles.”

Overview

Emilio Frazzoli is affiliated with ETH Zurich in Switzerland. Their research primarily focuses on areas within engineering and computer science, with significant contributions to control and systems engineering, artificial intelligence, computational theory and mathematics, automotive engineering, and transportation.

The main topics covered in their work include:

  • Formal Methods in Verification
  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Modular Robots and Swarm Intelligence
  • Reinforcement Learning in Robotics

Frazzoli's recent papers exhibit a focus on vehicle automation, transportation systems, and robotic multi-agent policies. Selected recent publications include:

  • Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide, 2020, Transportation Research Part A Policy and Practice
  • Quantifying the Efficiency of Ride Sharing, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Improved public transportation in rural areas with self-driving cars: A study on the operation of Swiss train lines, 2020, Transportation Research Part A Policy and Practice
  • From driverless dilemmas to more practical commonsense tests for automated vehicles, 2021, Proceedings of the National Academy of Sciences
  • The +1 Method: Model-Free Adaptive Repositioning Policies for Robotic Multi-Agent Systems, 2020, IEEE Transactions on Network Science and Engineering

Frequent co-authors who have collaborated extensively with Frazzoli include:

  • Andrea Censi
  • Gioele Zardini
  • Abolfazl Lavaei
  • Alessandro Zanardi
  • Saverio Bolognani

Their work has been published in various venues, with multiple publications appearing in the following:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Control Systems Letters
  • Repository for Publications and Research Data (ETH Zurich)
  • Transportation Research Part A Policy and Practice

Frazzoli has been recognized with notable awards including the IEEE Fellow distinction awarded in 2019 for contributions to motion planning and control of autonomous vehicles. Earlier, in 2017, they received the IEEE Kiyo Tomiyasu Award for work related to planning, control, and fleet operation algorithms for autonomous vehicles.

Best Publications

  • Sampling-based algorithms for optimal motion planning

    Sertac Karaman;Emilio Frazzoli

  • A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles

    Brian Paden;Michal Cap;Sze Zheng Yong;Dmitry Yershov

  • Distributed Event-Triggered Control for Multi-Agent Systems

    D. V. Dimarogonas;E. Frazzoli;K. H. Johansson

  • On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment

    Javier Alonso-Mora;Samitha Samaranayake;Alex Wallar;Emilio Frazzoli

  • Real-Time Motion Planning for Agile Autonomous Vehicles

    Emilio Frazzoli;Munther A. Dahleh;Eric Feron

  • Real-Time Motion Planning With Applications to Autonomous Urban Driving

    Y. Kuwata;S. Karaman;J. Teo;E. Frazzoli

  • Anytime Motion Planning using the RRT

    Sertac Karaman;Matthew R. Walter;Alejandro Perez;Emilio Frazzoli

  • Incremental Sampling-based Algorithms for Optimal Motion Planning.

    Sertac Karaman;Emilio Frazzoli

  • A perception-driven autonomous urban vehicle

    John Leonard;Jonathan How;Seth Teller;Mitch Berger

  • Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore

    Kevin Spieser;Kyle Ballantyne Treleaven;Rick Zhang;Emilio Frazzoli

  • Maneuver-based motion planning for nonlinear systems with symmetries

    E. Frazzoli;M.A. Dahleh;E. Feron

  • Optimal kinodynamic motion planning using incremental sampling-based methods

    Sertac Karaman;Emilio Frazzoli

  • Symbolic planning and control of robot motion [Grand Challenges of Robotics]

    C. Belta;A. Bicchi;M. Egerstedt;E. Frazzoli

  • A Perception Driven Autonomous Urban Robot

    John Leonard;Jonathan How;Seth Teller;Mitch Berger

  • Robotic load balancing for mobility-on-demand systems

    Marco Pavone;Stephen L Smith;Emilio Frazzoli;Daniela Rus

  • Trajectory tracking control design for autonomous helicopters using a backstepping algorithm

    E. Frazzoli;M.A. Dahleh;E. Feron

  • Resolution of conflicts involving many aircraft via semidefinite programming

    E. Frazzoli;Z.-H. Mao;J.-H. Oh;E. Feron

  • A review of urban computing for mobile phone traces: current methods, challenges and opportunities

    Shan Jiang;Gaston A. Fiore;Yingxiang Yang;Joseph Ferreira

  • Traveling Salesperson Problems for the Dubins Vehicle

    K. Savla;E. Frazzoli;F. Bullo

  • Decentralized Cooperative Policy for Conflict Resolution in Multivehicle Systems

    L. Pallottino;V.G. Scordio;A. Bicchi;E. Frazzoli

  • Robust hybrid control for autonomous vehicle motion planning

    E. Frazzoli;M.A. Dahleh;E. Feron

  • Dynamic Vehicle Routing for Robotic Systems

    F. Bullo;E. Frazzoli;M. Pavone;K. Savla

Frequent Co-Authors

Marco Pavone
Marco Pavone Stanford University
Francesco Bullo
Francesco Bullo University of California, Santa Barbara
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Matthew R. Walter
Matthew R. Walter Toyota Technological Institute at Chicago
Eric Feron
Eric Feron King Abdullah University of Science and Technology

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