World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
63
Citations
30746
World Ranking
1329
National Ranking
549

Paulo Tabuada 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 Paulo Tabuada 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: 269 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Paulo Tabuada 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 Paulo Tabuada 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - Fellow of the International Federation of Automatic Control (IFAC)
  • 2017 - IEEE Fellow For contributions to cyber-physical systems

Overview

Paulo Tabuada is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple fields with a focus on Computer Science and Engineering, contributing notably to subfields such as Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, and Electrical and Electronic Engineering.

The scientist's recent peer-reviewed papers demonstrate a strong engagement with topics related to advanced control systems and security. Notable publications include:

  • Universal Approximation Power of Deep Residual Neural Networks Through the Lens of Control, 2022, IEEE Transactions on Automatic Control
  • On the computational complexity of the secure state-reconstruction problem, 2021, Automatica
  • Securing state reconstruction under sensor and actuator attacks: Theory and design, 2020, Automatica
  • Data-driven Stabilization of SISO Feedback Linearizable Systems, 2020, arXiv (Cornell University)
  • Universal Approximation Power of Deep Residual Neural Networks via Nonlinear Control Theory, 2020, arXiv (Cornell University)

The key research topics covered in their work include:

  • Advanced Control Systems Optimization
  • Smart Grid Security and Resilience
  • Adversarial Robustness in Machine Learning
  • Formal Methods in Verification
  • Fault Detection and Control Systems
  • Security in Wireless Sensor Networks
  • Control Systems and Identification

Frequently publishing in venues such as arXiv (Cornell University), IEEE Transactions on Automatic Control, IEEE Control Systems Letters, and the IEEE Conference on Decision and Control, Paulo Tabuada has established an extensive body of work in these specialized areas.

Their collaboration network features several frequent coauthors, highlighting ongoing partnerships in research. These include Tzanis Anevlavis, Jonathan Bunton, Yanwen Mao, Matteo Marchi, and Bahman Gharesifard.

Paulo Tabuada holds recognitions such as the IEEE Fellow award and Fellowship of the International Federation of Automatic Control (IFAC), both awarded in 2017, acknowledging contributions to cyber-physical systems.

Best Publications

  • Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks

    P. Tabuada

  • Control Barrier Function Based Quadratic Programs for Safety Critical Systems

    Aaron D. Ames;Xiangru Xu;Jessy W. Grizzle;Paulo Tabuada

  • An introduction to event-triggered and self-triggered control

    W.P.M.H. Heemels;K.H. Johansson;P. Tabuada

  • Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks

    Hamza Fawzi;Paulo Tabuada;Suhas Diggavi

  • Periodic event-triggered control for nonlinear systems

    R. Postoyan;A. Anta;W. P. M. H. Heemels;P. Tabuada

  • Control Barrier Functions: Theory and Applications

    Aaron D. Ames;Samuel Coogan;Magnus Egerstedt;Gennaro Notomista

  • To Sample or not to Sample: Self-Triggered Control for Nonlinear Systems

    Adolfo Anta;Paulo Tabuada

  • Verification and Control of Hybrid Systems: A Symbolic Approach

    Paulo Tabuada

  • Control barrier function based quadratic programs with application to adaptive cruise control

    Aaron D. Ames;Jessy W. Grizzle;Paulo Tabuada

  • A Framework for the Event-Triggered Stabilization of Nonlinear Systems

    Romain Postoyan;Paulo Tabuada;Dragan Nesic;Adolfo Anta

  • Decentralized Event-Triggered Control Over Wireless Sensor/Actuator Networks

    Manuel Mazo;Paulo Tabuada

  • Brief paper: An ISS self-triggered implementation of linear controllers

    Manuel Mazo;Adolfo Anta;Paulo Tabuada

  • Robustness of Control Barrier Functions for Safety Critical Control

    Xiangru Xu;Paulo Tabuada;Jessy W. Grizzle;Aaron D. Ames

  • Approximately Bisimilar Symbolic Models for Incrementally Stable Switched Systems

    A. Girard;G. Pola;P. Tabuada

  • Linear Time Logic Control of Discrete-Time Linear Systems

    P. Tabuada;G.J. Pappas

  • Event-Triggered State Observers for Sparse Sensor Noise/Attacks

    Yasser Shoukry;Paulo Tabuada

  • Approximately bisimilar symbolic models for nonlinear control systems

    Giordano Pola;Antoine Girard;Paulo Tabuada

  • On event-triggered and self-triggered control over sensor/actuator networks

    M. Mazo;P. Tabuada

  • Symbolic Models for Nonlinear Control Systems Without Stability Assumptions

    M. Zamani;G. Pola;Manuel Mazo;P. Tabuada

  • Verification and Control of Hybrid Systems

    Paulo Tabuada

  • Stability Analysis of Networked Control Systems Using a Switched Linear Systems Approach

    M. C. Donkers;L. Hetel;W. P. Heemels;N. Wouw

Frequent Co-Authors

George J. Pappas
George J. Pappas University of Pennsylvania
Aaron D. Ames
Aaron D. Ames California Institute of Technology
Suhas Diggavi
Suhas Diggavi University of California, Los Angeles
Manuel Mazo
Manuel Mazo University of Alcalá
Sanjit A. Seshia
Sanjit A. Seshia University of California, Berkeley
Jessy W. Grizzle
Jessy W. Grizzle University of Michigan–Ann Arbor
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Rupak Majumdar
Rupak Majumdar Max Planck Institute for Software Systems
Mani Srivastava
Mani Srivastava University of California, Los Angeles
Maurice Heemels
Maurice Heemels Eindhoven University of Technology

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