World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5334
World Ranking
4959
National Ranking
190

Marcello Pucci 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 Marcello Pucci 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: 197 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Marcello Pucci 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 Marcello Pucci 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

Marcello Pucci is affiliated with the National Research Council (CNR) in Italy, with a research focus primarily in the field of Engineering. Their work prominently spans several subfields including Electrical and Electronic Engineering, Control and Systems Engineering, Environmental Engineering, Automotive Engineering, and Energy Engineering and Power Technology.

The research topics covered by Marcello Pucci emphasize Sensorless Control of Electric Motors, Electric Motor Design and Analysis, Multilevel Inverters and Converters, Maritime Transport Emissions and Efficiency, Advanced DC-DC Converters, Advanced Battery Technologies Research, and Hybrid Renewable Energy Systems.

Pucci has contributed to a number of papers notable for their presence in selected journals and conference venues. These include:

  • Analytical Formulation of a Maximum Torque per Ampere (MTPA) Technique for SynRMs Considering the Magnetic Saturation, 2020, IEEE Transactions on Industry Applications
  • GA-Based Off-Line Parameter Estimation of the Induction Motor Model Including Magnetic Saturation and Iron Losses, 2020, IEEE Open Journal of Industry Applications
  • Feedback Linearization Based Nonlinear Control of SynRM Drives Accounting for Self- and Cross-Saturation, 2022, IEEE Transactions on Industry Applications
  • Optimal Management of Battery and Fuel Cell-Based Decentralized Generation in DC Shipboard Microgrids, 2023, Energies
  • Input-Output Feedback Linearization Control of a Linear Induction Motor Taking Into Consideration Its Dynamic End-Effects and Iron Losses, 2022, IEEE Transactions on Industry Applications

Marcello Pucci frequently publishes in the following venues:

  • IEEE Transactions on Industry Applications
  • Energies
  • 2022 IEEE Energy Conversion Congress and Exposition (ECCE)
  • IEEE Open Journal of Industry Applications
  • SSRN Electronic Journal

Throughout their career, Pucci has collaborated extensively with several co-authors, including Angelo Accetta, Maria Carmela Di Piazza, Massimiliano Luna, Antonino Sferlazza, and Maurizio Cirrincione. These frequent collaborators highlight a network focused on research in electrical engineering and energy systems.

Best Publications

  • Linear Electric Machines, Drives, and MAGLEVs: An Overview

    Ion Boldea;Lucian Nicolae Tutelea;Wei Xu;Marcello Pucci

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

    Marcello Pucci;Maurizio Cirrincione

  • Model Predictive Control for Shunt Active Filters With Fixed Switching Frequency

    Luca Tarisciotti;Andrea Formentini;Alberto Gaeta;Marco Degano

  • 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

  • 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

  • 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

  • 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

  • Analytical Versus Neural Real-Time Simulation of a Photovoltaic Generator Based on a DC–DC Converter

    M C Di Piazza;M Pucci;A Ragusa;G Vitale

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

    Angelo Accetta;Maurizio Cirrincione;Marcello Pucci;Gianpaolo Vitale

  • State Space-Vector Model of Linear Induction Motors

    Marcello Pucci

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

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

Frequent Co-Authors

Maurizio Cirrincione
Maurizio Cirrincione University of the South Pacific
Gerard-Andre Capolino
Gerard-Andre Capolino University of Picardie Jules Verne
Abdellatif Miraoui
Abdellatif Miraoui Ministère de l'Enseignement supérieur, de la Recherche scientifique et de l'innovation
Wei Xu
Wei Xu Huazhong University of Science and Technology
Pericle Zanchetta
Pericle Zanchetta University of Nottingham
Marco Rivera
Marco Rivera University of Nottingham
Ion Boldea
Ion Boldea Polytechnic University of Timişoara
Marco Beccali
Marco Beccali University of Palermo
Fabio Crescimbini
Fabio Crescimbini Roma Tre University

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Additionally, pursuing a master's in instructional design can open doors to educational technology roles, which are vital for creating training programs and technical documentation in engineering fields.

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