World's Best Scientists 2026 revealed!
Giovanni Spagnuolo

Giovanni Spagnuolo

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
14488
World Ranking
3449
National Ranking
102

Giovanni Spagnuolo 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 Giovanni Spagnuolo 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: 259 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Giovanni Spagnuolo 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 Giovanni Spagnuolo 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: 45 D-Index — 50th percentile

50% 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

  • 2016 - IEEE Fellow For contributions to control of photovoltaic systems

Overview

Giovanni Spagnuolo is affiliated with the University of Salerno in Italy and is actively involved in research primarily within the domains of Engineering and Energy. Their scholarly output encompasses a diverse range of topics with a strong focus on photovoltaic system optimization and renewable energy technologies.

Their recent papers demonstrate a concentration on photovoltaic systems and energy management, reflecting ongoing research themes. Notable publications include:

  • Multi-Variable Perturb and Observe Algorithm for Grid-Tied PV Systems With Joint Central and Distributed MPPT Configuration, 2020, IEEE Transactions on Sustainable Energy
  • A Review of the Optimization and Control Techniques in the Presence of Uncertainties for the Energy Management of Microgrids, 2022, Energies
  • Experimental comparison between various fitting approaches based on RMSE minimization for photovoltaic module parametric identification, 2022, Energy Conversion and Management
  • Temperature coefficients of degraded crystalline silicon photovoltaic modules at outdoor conditions, 2021, Progress in Photovoltaics Research and Applications
  • Analysis of the degradation of single-crystalline silicon modules after 21 years of operation, 2021, Progress in Photovoltaics Research and Applications

Frequent co-authors collaborating with Spagnuolo include Michel Piliougine, Giovanni Petrone, Kari Lappalainen, Ana Cabrera-Tobar, and Alessandro Pavan. This network highlights collaborative efforts in the field of photovoltaic and energy system research.

Publications by Spagnuolo have appeared recurrently in several scientific venues, with notable frequency in:

  • IEEE Industrial Electronics Magazine
  • Mathematics and Computers in Simulation
  • Energies
  • Progress in Photovoltaics Research and Applications
  • Renewable Energy

Their main research fields include Engineering (74 publications) and Energy (28 publications), with subfields focusing extensively on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Control and Systems Engineering, Automotive Engineering, and Artificial Intelligence.

Specific topics of their research work are centered around:

  • Photovoltaic System Optimization Techniques
  • Solar cell performance optimization
  • Solar Radiation and Photovoltaics
  • Advanced Battery Technologies Research
  • Silicon and Solar Cell Technologies
  • Electric Vehicles and Infrastructure
  • Fault Detection and Control Systems

Giovanni Spagnuolo has been recognized with the IEEE Fellow award in 2016 for contributions to the control of photovoltaic systems.

Best Publications

  • Optimization of perturb and observe maximum power point tracking method

    N. Femia;G. Petrone;G. Spagnuolo;M. Vitelli

  • Reliability Issues in Photovoltaic Power Processing Systems

    G. Petrone;G. Spagnuolo;R. Teodorescu;M. Veerachary

  • Distributed Maximum Power Point Tracking of Photovoltaic Arrays: Novel Approach and System Analysis

    N. Femia;G. Lisi;G. Petrone;G. Spagnuolo

  • A Technique for Improving P&O MPPT Performances of Double-Stage Grid-Connected Photovoltaic Systems

    N. Femia;G. Petrone;G. Spagnuolo;M. Vitelli

  • Grid-Connected Photovoltaic Generation Plants: Components and Operation

    Enrique Romero-Cadaval;Giovanni Spagnuolo;Leopoldo Garcia Franquelo;Carlos Andres Ramos-Paja

  • Power Electronics and Control Techniques for Maximum Energy Harvesting in Photovoltaic Systems

    Nicola Femia;Giovanni Petrone;Giovanni Spagnuolo;Massimo Vitelli

  • A PSO-Based Global MPPT Technique for Distributed PV Power Generation

    Hugues Renaudineau;Fabrizio Donatantonio;Julien Fontchastagner;Giovanni Petrone

  • A Fast Current-Based MPPT Technique Employing Sliding Mode Control

    E. Bianconi;J. Calvente;R. Giral;E. Mamarelis

  • Analytical model of mismatched photovoltaic fields by means of Lambert W-function

    G. Petrone;G. Spagnuolo;M. Vitelli

  • Efficient Approaches for Modeling and Simulating Photovoltaic Power Systems

    Weidong Xiao;F. F. Edwin;G. Spagnuolo;J. Jatskevich

  • Optimizing sampling rate of P&O MPPT technique

    N. Femia;G. Petrone;G. Spagnuolo;M. Vitelli

  • Design of a Sliding-Mode-Controlled SEPIC for PV MPPT Applications

    Emilio Mamarelis;Giovanni Petrone;Giovanni Spagnuolo

  • Optimized one-cycle control in photovoltaic grid connected applications

    N. Femia;D. Granozio;G. Petrone;G. Spagnuolo

  • Optimizing duty-cycle perturbation of P&O MPPT technique

    N. Femia;G. Petrone;G. Spagnuolo;M. Vitelli

  • Maximum Power Point Tracking in a One-Cycle-Controlled Single-Stage Photovoltaic Inverter

    M. Fortunato;A. Giustiniani;G. Petrone;G. Spagnuolo

  • Perturb and Observe MPPT algorithm with a current controller based on the sliding mode

    Enrico Bianconi;Javier Calvente;Roberto Giral;Emilio Mamarelis

  • Maximum power point tracking architectures for photovoltaic systems in mismatching conditions: a review

    Juan David Bastidas-Rodriguez;Edinson Franco;Giovanni Petrone;Carlos Andrés Ramos-Paja

  • A Multivariable Perturb-and-Observe Maximum Power Point Tracking Technique Applied to a Single-Stage Photovoltaic Inverter

    Giovanni Petrone;Giovanni Spagnuolo;Massimo Vitelli

  • Renewable Energy Operation and Conversion Schemes: A Summary of Discussions During the Seminar on Renewable Energy Systems

    G. Spagnuolo;G. Petrone;S.V. Araujo;C. Cecati

  • A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel

    J.D. Bastidas-Rodriguez;G. Petrone;C.A. Ramos-Paja;G. Spagnuolo

Frequent Co-Authors

Giovanni Petrone
Giovanni Petrone University of Salerno
Massimo Vitelli
Massimo Vitelli University of Campania "Luigi Vanvitelli"
Carlos Andrés Ramos-Paja
Carlos Andrés Ramos-Paja National University of Colombia
Eric Monmasson
Eric Monmasson CY Cergy Paris University
Roberto Giral
Roberto Giral Rovira i Virgili University
Javier Calvente
Javier Calvente Rovira i Virgili University
Carlo Cecati
Carlo Cecati University of L'Aquila
Remus Teodorescu
Remus Teodorescu Aalborg University
Daniel Hissel
Daniel Hissel University of Franche-Comté
Weidong Xiao
Weidong Xiao University of Sydney

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