World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
7947
World Ranking
4441
National Ranking
73

Paolo Falcone publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Paolo Falcone sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 165 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Paolo Falcone D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Paolo Falcone sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 40 D-Index — 36th percentile

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

The last bar groups every scientist with 111 D-Index or more.

Overview

Paolo Falcone is affiliated with Chalmers University of Technology in Sweden and has a significant presence in Engineering and Computer Science research. Their work is especially concentrated in Control and Systems Engineering, Automotive Engineering, and Transportation, reflecting a multidisciplinary approach to complex technical challenges.

The main fields of study associated with Falcone's research include:

  • Engineering
  • Computer Science

Within those fields, their subfields of expertise span:

  • Control and Systems Engineering
  • Automotive Engineering
  • Transportation
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Falcone's research topics cover a range of subjects related to control systems and transportation technology:

  • Advanced Control Systems Optimization
  • Traffic control and management
  • Stability and Control of Uncertain Systems
  • Transportation Planning and Optimization
  • Autonomous Vehicle Technology and Safety
  • Fault Detection and Control Systems
  • Control Systems and Identification

Their recent papers demonstrate a focus on robust control and optimization in uncertain and automated systems, including applications to autonomous vehicles and traffic management. Examples include:

  • "A Robust Scenario MPC Approach for Uncertain Multi-Modal Obstacles" (2020, IEEE Control Systems Letters)
  • "Optimisation-based coordination of connected, automated vehicles at intersections" (2020, Vehicle System Dynamics)
  • "Optimal Control Design for Perturbed Constrained Networked Control Systems" (2020, IEEE Control Systems Letters)
  • "Safe Trajectory Tracking in Uncertain Environments" (2022, IEEE Transactions on Automatic Control)
  • "Experimental Validation of Safe MPC for Autonomous Driving in Uncertain Environments" (2023, IEEE Transactions on Control Systems Technology)

Falcone publishes frequently in several venues, indicating active engagement with both theoretical and applied research communities:

  • arXiv (Cornell University)
  • IEEE Control Systems Letters
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Control Systems Technology
  • Optimal Control Applications and Methods

Their collaborative network includes multiple frequent co-authors, reflecting ongoing partnerships in the field:

  • Mario Zanon
  • Ivo Batkovic
  • Masoud Bahraini
  • Alessandro Colombo
  • Robert Hult

Best Publications

  • Predictive Active Steering Control for Autonomous Vehicle Systems

    P. Falcone;F. Borrelli;J. Asgari;H.E. Tseng

  • MPC-Based Approach to Active Steering for Autonomous Vehicle Systems

    Francesco Borrelli;Paolo Falcone;Tamas Keviczky;Jahan Asgari

  • MPC-based yaw and lateral stabilisation via active front steering and braking

    Paolo Falcone;H. Eric Tseng;Francesco Borrelli;Jahan Asgari

  • Linear Time Varying Model Predictive Control and its Application to Active Steering Systems: Stability Analysis and Experimental Validation

    Paolo Falcone;Francesco Borrelli;Jahan Asgari;H. Eric Tseng

  • Design and Experimental Validation of a Cooperative Driving System in the Grand Cooperative Driving Challenge

    Roozbeh Kianfar;Bruno Augusto;Alireza Ebadighajari;Usman Hakeem

  • A linear time varying model predictive control approach to the integrated vehicle dynamics control problem in autonomous systems

    P. Falcone;M. Tufo;F. Borrelli;J. Asgari

  • WiFi-Based Passive Bistatic Radar: Data Processing Schemes and Experimental Results

    F. Colone;P. Falcone;C. Bongioanni;P. Lombardo

  • Predictive control approach to autonomous vehicle steering

    T. Keviczky;P. Falcone;F. Borrelli;J. Asgari

  • Design, Analysis, and Experimental Validation of a Distributed Protocol for Platooning in the Presence of Time-Varying Heterogeneous Delays

    Mario di Bernardo;Paolo Falcone;Alessandro Salvi;Stefania Santini

  • A hierarchical Model Predictive Control framework for autonomous ground vehicles

    P. Falcone;F. Borrelli;H.E. Tseng;J. Asgari

  • A model predictive control approach for combined braking and steering in autonomous vehicles

    P. Falcone;F. Borrelli;J. Asgari;H.E. Tseng

  • Autonomous cooperative driving: A velocity-based negotiation approach for intersection crossing

    Gabriel Rodrigues de Campos;Paolo Falcone;Jonas Sjoberg

  • Coordination of Cooperative Autonomous Vehicles: Toward safer and more efficient road transportation

    Robert Hult;Gabriel R. Campos;Erik Steinmetz;Lars Hammarstrand

  • Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory

    P. Falcone;M. Ali;J. Sjoberg

  • A control matching model predictive control approach to string stable vehicle platooning

    Roozbeh Kianfar;Paolo Falcone;Jonas Fredriksson

  • Traffic Coordination at Road Intersections: Autonomous Decision-Making Algorithms Using Model-Based Heuristics

    Gabriel Rodrigues de Campos;Paolo Falcone;Robert Hult;Henk Wymeersch

  • Cooperative receding horizon conflict resolution at traffic intersections

    Gabriel R. Campos;Paolo Falcone;Henk Wymeersch;Robert Hult

  • Experimental results for OFDM WiFi-based passive bistatic radar

    P. Falcone;F. Colone;C. Bongioanni;P. Lombardo

  • Receding horizon maneuver generation for automated highway driving

    Julia Nilsson;Julia Nilsson;Paolo Falcone;Mohammad Ali;Jonas Sjöberg

  • An approximate solution to the optimal coordination problem for autonomous vehicles at intersections

    Robert Hult;Gabriel R. Campos;Paolo Falcone;Henk Wymeersch

Frequent Co-Authors

Francesco Borrelli
Francesco Borrelli University of California, Berkeley
Jonas Sjöberg
Jonas Sjöberg Chalmers University of Technology
Fabiola Colone
Fabiola Colone Sapienza University of Rome
Pierfrancesco Lombardo
Pierfrancesco Lombardo Sapienza University of Rome
Davor Hrovat
Davor Hrovat University of California, San Diego
Henk Wymeersch
Henk Wymeersch Chalmers University of Technology
Sébastien Gros
Sébastien Gros Norwegian University of Science and Technology
Stefania Santini
Stefania Santini University of Naples Federico II
Baris Fidan
Baris Fidan University of Waterloo
Trevor Darrell
Trevor Darrell University of California, Berkeley

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