World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
42
Citations
11258
World Ranking
4017
National Ranking
1437

Fabio Pasqualetti 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 Fabio Pasqualetti 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: 178 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Fabio Pasqualetti 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 Fabio Pasqualetti 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: 42 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Fabio Pasqualetti is affiliated with the University of California, Riverside in the United States. Their research spans the fields of engineering and computer science, with particular contributions to control and systems engineering, cognitive neuroscience, artificial intelligence, computer networks and communications, and molecular biology.

The scientist has explored a range of main topics including neural dynamics and brain function, fault detection and control systems, nonlinear dynamics and pattern formation, control systems and identification, functional brain connectivity studies, advanced control systems optimization, and smart grid security and resilience.

Fabio Pasqualetti has published extensively, contributing to prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • IEEE Control Systems Letters
  • IEEE Transactions on Control Systems Technology
  • IEEE Open Journal of Control Systems

Among recent papers authored or coauthored by Fabio Pasqualetti are:

  • Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia, 2021, Nature Communications
  • Data-driven control of complex networks, 2021, Nature Communications
  • Optimization of energy state transition trajectory supports the development of executive function during youth, 2020, eLife
  • Time-evolving controllability of effective connectivity networks during seizure progression, 2021, Proceedings of the National Academy of Sciences
  • Models of communication and control for brain networks: distinctions, convergence, and future outlook, 2020, Network Neuroscience

Frequent coauthors of Fabio Pasqualetti include:

  • Danielle S. Bassett
  • Eric C. Kerrigan
  • Magnus Egerstedt
  • Maria Elena Valcher
  • Rodolphe Sepulchre

Best Publications

  • Attack Detection and Identification in Cyber-Physical Systems

    Fabio Pasqualetti;Florian Dorfler;Francesco Bullo

  • Controllability of structural brain networks.

    Shi Gu;Fabio Pasqualetti;Matthew Cieslak;Qawi K. Telesford

  • Controllability Metrics, Limitations and Algorithms for Complex Networks

    Fabio Pasqualetti;Sandro Zampieri;Francesco Bullo

  • Consensus Computation in Unreliable Networks: A System Theoretic Approach

    F. Pasqualetti;A. Bicchi;F. Bullo

  • Control-Theoretic Methods for Cyberphysical Security: Geometric Principles for Optimal Cross-Layer Resilient Control Systems

    Fabio Pasqualetti;Florian Dorfler;Francesco Bullo

  • Optimally controlling the human connectome: the role of network topology.

    Richard F. Betzel;Shi Gu;John D. Medaglia;Fabio Pasqualetti

  • Stimulation-Based Control of Dynamic Brain Networks

    Sarah Feldt Muldoon;Sarah Feldt Muldoon;Sarah Feldt Muldoon;Fabio Pasqualetti;Shi Gu;Matthew Cieslak

  • Cyber-physical attacks in power networks: Models, fundamental limitations and monitor design

    Fabio Pasqualetti;Florian Dorfler;Francesco Bullo

  • Dynamic Load Altering Attacks Against Power System Stability: Attack Models and Protection Schemes

    Sajjad Amini;Fabio Pasqualetti;Hamed Mohsenian-Rad

  • Data-injection attacks in stochastic control systems: Detectability and performance tradeoffs

    Cheng-Zong Bai;Fabio Pasqualetti;Vijay Gupta

  • On Cooperative Patrolling: Optimal Trajectories, Complexity Analysis, and Approximation Algorithms

    F. Pasqualetti;A. Franchi;F. Bullo

  • Brain and cognitive reserve: Translation via network control theory.

    John Dominic Medaglia;Fabio Pasqualetti;Roy H. Hamilton;Sharon L. Thompson-Schill

  • On Kalman Filtering with Compromised Sensors: Attack Stealthiness and Performance Bounds

    Cheng-Zong Bai;Vijay Gupta;Fabio Pasqualetti

  • Role of graph architecture in controlling dynamical networks with applications to neural systems

    Jason Z. Kim;Jonathan M. Soffer;Ari E. Kahn;Jean M. Vettel

  • White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions

    Jennifer Stiso;Ankit N. Khambhati;Tommaso Menara;Ari E. Kahn

  • Data-driven control of complex networks

    Giacomo Baggio;Danielle S. Bassett;Fabio Pasqualetti

  • Security in stochastic control systems: Fundamental limitations and performance bounds

    Cheng-Zong Bai;Fabio Pasqualetti;Vijay Gupta

  • Distributed estimation via iterative projections with application to power network monitoring

    Fabio Pasqualetti;Ruggero Carli;Francesco Bullo

  • The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure.

    Shi Gu;Matthew Cieslak;Benjamin Baird;Sarah F. Muldoon

  • Cooperative Patrolling via Weighted Tours: Performance Analysis and Distributed Algorithms

    F. Pasqualetti;J. W. Durham;F. Bullo

  • Distributed intrusion detection for secure consensus computations

    F. Pasqualetti;A. Bicchi;F. Bullo

Frequent Co-Authors

Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Francesco Bullo
Francesco Bullo University of California, Santa Barbara
Jean M. Vettel
Jean M. Vettel United States Army Research Laboratory
Sandro Zampieri
Sandro Zampieri University of Padua
Richard F. Betzel
Richard F. Betzel Indiana University
Timothy H. Lucas
Timothy H. Lucas University of Pennsylvania
Antonio Bicchi
Antonio Bicchi Italian Institute of Technology
Ruggero Carli
Ruggero Carli University of Padua
Vijay Gupta
Vijay Gupta Purdue University West Lafayette

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Related Online Degrees & Career Pathways

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Another emerging trend is earning credentials through competency-based online colleges. These programs prioritize mastery of skills over time spent in class, making them ideal for self-motivated learners aiming to demonstrate practical expertise efficiently.

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