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Maurizio Cirrincione

Maurizio Cirrincione

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5355
World Ranking
4957
National Ranking
1

Maurizio Cirrincione 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 Maurizio Cirrincione 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: 224 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Maurizio Cirrincione 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 Maurizio Cirrincione 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Maurizio Cirrincione is affiliated with the University of the South Pacific in Fiji and has a research focus within engineering, particularly in electrical and electronic engineering and control and systems engineering. Their work encompasses multiple subfields including mechanical engineering, electronic, optical and magnetic materials, and ocean engineering.

Throughout their academic career, Maurizio has contributed to core areas related to sensorless control of electric motors, electric motor design and analysis, multilevel inverters and converters, machine fault diagnosis techniques, microgrid control and optimization, adaptive control of nonlinear systems, and iterative learning control systems.

The following recent papers highlight their research contributions:

  • Disturbance-Observer-Based Complementary Sliding-Mode Speed Control for PMSM Drives: A Super-Twisting Sliding-Mode Observer-Based Approach (2020), published in IEEE Journal of Emerging and Selected Topics in Power Electronics
  • A Comprehensive Review of Conventional and Intelligence-Based Approaches for the Fault Diagnosis and Condition Monitoring of Induction Motors (2022), published in Energies
  • Hermite Neural Network-Based Second-Order Sliding-Mode Control of Synchronous Reluctance Motor Drive Systems (2020), published in Journal of the Franklin Institute
  • Super-Twisting Sliding-Mode Observer-Based Model Reference Adaptive Speed Control for PMSM Drives (2022), published in Journal of the Franklin Institute
  • Microgrids for Green Hydrogen Production for Fuel Cell Buses - A Techno-Economic Analysis for Fiji (2023), published in Energy Conversion and Management

Frequent co-authors in Maurizio Cirrincione's research include:

  • Dhirendran Munith Kumar
  • Marcello Pucci
  • Antonino Sferlazza
  • Adriano Fagiolini
  • Rahul Kumar

Their publications are commonly found in prominent venues such as:

  • IEEE Transactions on Industry Applications
  • Energies
  • IEEE Access
  • 2022 IEEE Energy Conversion Congress and Exposition (ECCE)
  • 2022 25th International Conference on Electrical Machines and Systems (ICEMS)

Best Publications

  • Neural MPPT Control of Wind Generators With Induction Machines Without Speed Sensors

    Marcello Pucci;Maurizio Cirrincione

  • Current Harmonic Compensation by a Single-Phase Shunt Active Power Filter Controlled by Adaptive Neural Filtering

    M. Cirrincione;M. Pucci;G. Vitale;A. Miraoui

  • A Single-Phase DG Generation Unit With Shunt Active Power Filter Capability by Adaptive Neural Filtering

    M. Cirrincione;M. Pucci;G. Vitale

  • A new experimental application of least-squares techniques for the estimation of the induction motor parameters

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

  • An MRAS-based sensorless high-performance induction motor drive with a predictive adaptive model

    M. Cirrincione;M. Pucci

  • The MCA EXIN neuron for the minor component analysis

    G. Cirrincione;M. Cirrincione;J. Herault;S. Van Huffel

  • MRAS Speed Observer for High-Performance Linear Induction Motor Drives Based on Linear Neural Networks

    M. Cirrincione;A. Accetta;M. Pucci;G. Vitale

  • Power Converters and AC Electrical Drives with Linear Neural Networks

    Maurizio Cirrincione;Marcello Pucci;Gianpaolo Vitale

  • Neural Sensorless Control of Linear Induction Motors by a Full-Order Luenberger Observer Considering the End Effects

    Angelo Accetta;Maurizio Cirrincione;Marcello Pucci;Gianpaolo Vitale

  • A new adaptive integration methodology for estimating flux in induction machine drives

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

  • Robust Active Disturbance Rejection Control of Induction Motor Systems Based on Additional Sliding-Mode Component

    Francesco Alonge;Maurizio Cirrincione;Filippo DIppolito;Marcello Pucci

  • Sensorless Control of PMSM Fractional Horsepower Drives by Signal Injection and Neural Adaptive-Band Filtering

    A. Accetta;M. Cirrincione;M. Pucci;G. Vitale

  • Disturbance-Observer-Based Complementary Sliding-Mode Speed Control for PMSM Drives: A Super-Twisting Sliding-Mode Observer-Based Approach

    Yong-Chao Liu;Salah Laghrouche;Daniel Depernet;Abdesslem Djerdir

  • Input–Output Feedback Linearization Control With On-Line MRAS-Based Inductor Resistance Estimation of Linear Induction Motors Including the Dynamic End Effects

    Francesco Alonge;Maurizio Cirrincione;Marcello Pucci;Antonino Sferlazza

  • Sensorless Control of Induction Machines by a New Neural Algorithm: The TLS EXIN Neuron

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

  • A prototype of a fuel cell PEM emulator based on a buck converter

    Giuseppe Marsala;Marcello Pucci;Gianpaolo Vitale;Maurizio Cirrincione

  • Multiple Constrained MPC Design for Automotive Dry Clutch Engagement

    Mario Pisaturo;Maurizio Cirrincione;Adolfo Senatore

  • An adaptive speed observer based on a new total least-squares neuron for induction machine drives

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

  • Closed-Loop MRAS Speed Observer for Linear Induction Motor Drives

    Angelo Accetta;Maurizio Cirrincione;Marcello Pucci;Gianpaolo Vitale

  • Constrained minimization for parameter estimation of induction motors in saturated and unsaturated conditions

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

  • Adaptive and Learning Systems for Signal Processing, Communication, and Control

    Giansalvo Cirrincione;Maurizio Cirrincione

Frequent Co-Authors

Marcello Pucci
Marcello Pucci National Research Council (CNR)
Abdellatif Miraoui
Abdellatif Miraoui Ministère de l'Enseignement supérieur, de la Recherche scientifique et de l'innovation
Gerard-Andre Capolino
Gerard-Andre Capolino University of Picardie Jules Verne
Salah Laghrouche
Salah Laghrouche Centre national de la recherche scientifique, CNRS
Abdesslem Djerdir
Abdesslem Djerdir University of Technology of Belfort-Montbéliard
Vincenzo Franzitta
Vincenzo Franzitta University of Palermo
Marcelo Godoy Simões
Marcelo Godoy Simões University of Vaasa
Qing-Long Han
Qing-Long Han Swinburne University of Technology
Salvatore Gaglio
Salvatore Gaglio University of Palermo

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