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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
54
Citations
14560
World Ranking
2248
National Ranking
53

Patrizio Tomei 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 Patrizio Tomei 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: 225 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Patrizio Tomei 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 Patrizio Tomei 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: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Overview

Patrizio Tomei is affiliated with the University of Rome Tor Vergata in Italy and specializes in the field of Engineering, with a primary focus on Control and Systems Engineering. Their research spans several subfields including Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Civil and Structural Engineering, and Cardiology and Cardiovascular Medicine.

Their scholarly output includes numerous publications, highlighting a concentration on adaptive control and system identification methodologies. Tomei has contributed significantly to topics such as:

  • Adaptive Control of Nonlinear Systems
  • Control Systems and Identification
  • Iterative Learning Control Systems
  • Stability and Control of Uncertain Systems
  • Extremum Seeking Control Systems
  • Sensorless Control of Electric Motors
  • Electric Motor Design and Analysis

Key recent papers authored or co-authored by Tomei include:

  • "Nonlinear Robust Coordinated PSS-AVR Control for a Synchronous Generator Connected to an Infinite Bus" (2021), published in IEEE Transactions on Automatic Control
  • "An Enhanced Feedback Adaptive Observer for Nonlinear Systems With Lack of Persistency of Excitation" (2022), published in IEEE Transactions on Automatic Control
  • "Adaptive learning control for nonlinear systems: A single learning estimation scheme is enough" (2023), published in Automatica
  • "On exponentially convergent parameter estimation with lack of persistency of excitation" (2021), published in Systems & Control Letters
  • "Global stability for the inner and outer PI control actions in non-salient-pole PMSMs" (2020), published in Automatica

Their frequent co-authors include:

  • Cristiano Maria Verrelli
  • R. Marino
  • Gilney Damm
  • Giuseppe Caminiti
  • Ferdinando Iellamo

Tomei's research has been disseminated predominantly in a number of recognized journals, with the most frequent venues being:

  • Automatica
  • IEEE Transactions on Automatic Control
  • Systems & Control Letters

The scientist's work focuses largely on adaptive and robust control strategies for nonlinear systems, estimation schemes under excitatory constraints, and control of electric motors, reflecting an interdisciplinary approach within engineering and control theory.

Best Publications

  • Nonlinear control design: geometric, adaptive and robust

    Riccardo Marino;Patrizio Tomei

  • Global adaptive output-feedback control of nonlinear systems. II. Nonlinear parameterization

    R. Marino;P. Tomei

  • A simple PD controller for robots with elastic joints

    P. Tomei

  • Robot control by using only joint position measurements

    S. Nicosia;P. Tomei

  • Adaptive PD controller for robot manipulators

    Unknown

  • Global estimation of n unknown frequencies

    R. Marino;P. Tomei

  • Global adaptive observers for nonlinear systems via filtered transformations

    R. Marino;P. Tomei

  • Adaptive observers with arbitrary exponential rate of convergence for nonlinear systems

    R. Marino;P. Tomei

  • Robust stabilization of feedback linearizable time-varying uncertain nonlinear systems

    Riccardo Marino;Patrizio Tomei

  • Global adaptive output feedback control of induction motors with uncertain rotor resistance

    R. Marino;S. Peresada;P. Tomei

  • Induction Motor Control Design

    Riccardo Marino;Patrizio Tomei;Cristiano M. Verrelli

  • Robust adaptive observers for nonlinear systems with bounded disturbances

    R. Marine;G.L. Santosuosso;P. Tomei

  • Paper: Model reference adaptive control algorithms for industrial robots

    S. Nicosia;P. Tomei

  • On-line stator and rotor resistance estimation for induction motors

    R. Marino;S. Peresada;P. Tomei

  • Robust adaptive compensation of biased sinusoidal disturbances with unknown frequency

    Unknown

  • Robust adaptive observers for nonlinear systems with bounded disturbances

    R. Marino;G.L. Santosuesso;P. Tomei

  • Nonlinear H ∞ almost disturbance decoupling

    R. Marino;W. Respondek;A. J. van der Schaft;P. Tomei

  • Output regulation for linear systems via adaptive internal model

    R. Marino;P. Tomei

  • Robust adaptive state-feedback tracking for nonlinear systems

    R. Marino;P. Tomei

  • Nonlinear output feedback tracking with almost disturbance decoupling

    R. Marino;P. Tomei

  • Dynamic output feedback linearization and global stabilization

    Riccardo Marino;Patrizio Tomei

  • Global adaptive output-feedback control of nonlinear systems

    R. Marino;P. Tomei

Frequent Co-Authors

Riccardo Marino
Riccardo Marino University of Rome Tor Vergata
Ciro Natale
Ciro Natale University of Campania "Luigi Vanvitelli"
Pericle Zanchetta
Pericle Zanchetta University of Nottingham
Fabio Crescimbini
Fabio Crescimbini Roma Tre University
Luca Zarri
Luca Zarri University of Bologna
Alessandro Costabeber
Alessandro Costabeber University of Padua

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