World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
4861
World Ranking
5592
National Ranking
238

Marco Mussetta 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 Marco Mussetta 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: 274 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Marco Mussetta 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 Marco Mussetta 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: 35 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Overview

Marco Mussetta is affiliated with the Polytechnic University of Milan in Italy. Their research primarily focuses on engineering, with a significant contribution to electrical and electronic engineering, artificial intelligence, renewable energy, sustainability, environmental engineering, and control and systems engineering.

The scientist's work centers on several key topics, including:

  • Energy Load and Power Forecasting
  • Photovoltaic System Optimization Techniques
  • Microgrid Control and Optimization
  • Solar Radiation and Photovoltaics
  • Neural Networks and Reservoir Computing
  • Neural Networks and Applications
  • Hydrological Forecasting Using AI

Marco Mussetta has published extensively in several scientific venues. Frequent publication outlets include:

  • Mathematics
  • Forecasting
  • IEEE Access
  • Energies
  • Electronics

Recent notable papers feature the following:

  • "Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs" (2020, Mathematics and Computers in Simulation)
  • "Machine Learning-Based Detection Technique for NDT in Industrial Manufacturing" (2021, Mathematics)
  • "Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks" (2022, Forecasting)
  • "A Selective Ensemble Approach for Accuracy Improvement and Computational Load Reduction in ANN-Based PV Power Forecasting" (2022, IEEE Access)
  • "Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks" (2020, Energies)

Collaboration is an important aspect of Marco Mussetta's research. Frequent co-authors include:

  • Francesco Grimaccia
  • Alessandro Niccolai
  • Sonia Leva
  • Alfredo Nespoli
  • Emanuèle Ogliari

Best Publications

  • Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power

    S. Leva;A. Dolara;F. Grimaccia;M. Mussetta

  • A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output

    Alberto Dolara;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system

    Minh Quan Duong;Minh Quan Duong;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Genetical Swarm Optimization: Self-Adaptive Hybrid Evolutionary Algorithm for Electromagnetics

    F. Grimaccia;M. Mussetta;R.E. Zich

  • Planning for PV plant performance monitoring by means of unmanned aerial systems (UAS)

    F. Grimaccia;M. Aghaei;M. Mussetta;S. Leva

  • Hybrid Predictive Models for Accurate Forecasting in PV Systems

    Emanuele Giovanni Carlo Ogliari;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Metaheuristic Algorithm for Photovoltaic Parameters: Comparative Study and Prediction with a Firefly Algorithm

    Mohamed Louzazni;Ahmed Khouya;Khalid Amechnoue;Alessandro Gandelli

  • Performance Analysis of a Single-Axis Tracking PV System

    A. Dolara;F. Grimaccia;S. Leva;M. Mussetta

  • PSO as an effective learning algorithm for neural network applications

    E.A. Grimaldi;F. Grimaccia;M. Mussetta;R.E. Zich

  • Differentiated Meta-PSO Methods for Array Optimization

    S. Selleri;M. Mussetta;P. Pirinoli;R.E. Zich

  • The Optimum PV Plant for a Given Solar DC/AC Converter

    Roberto S. Faranda;Hossein Hafezi;Sonia Leva;Marco Mussetta

  • Modified Compact Genetic Algorithm for Thinned Array Synthesis

    Bui Van Ha;Marco Mussetta;Paola Pirinoli;Riccardo Zich

  • Hybrid model for hourly forecast of photovoltaic and wind power

    Duong Minh Quan;Emanuele Ogliari;Francesco Grimaccia;Sonia Leva

  • Some Insight Over New Variations of the Particle Swarm Optimization Method

    S. Selleri;M. Mussetta;P. Pirinoli;R. E. Zich

  • Photovoltaic plants predictive model by means of ANN trained by a hybrid evolutionary algorithm

    Davide Caputo;Francesco Grimaccia;Marco Mussetta;Riccardo E. Zich

  • Hybrid model analysis and validation for PV energy production forecasting

    Alessandro Gandelli;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs

    Muhammad Mansoor;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • Improving Transient Stability in a Grid-Connected Squirrel-Cage Induction Generator Wind Turbine System Using a Fuzzy Logic Controller

    Minh Quan Duong;Francesco Grimaccia;Sonia Leva;Marco Mussetta

  • A new hybrid genetical-swarm algorithm for electromagnetic optimization

    E.A. Grimaldi;F. Grimaccia;M. Mussetta;P. Pirinoli

  • A Comparative Study on Controllers for Improving Transient Stability of DFIG Wind Turbines During Large Disturbances

    Minh Quan Duong;Sonia Leva;Marco Mussetta;Kim Hung Le

  • Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications

    Pedro Antonio;Francesco Grimaccia;Marco Mussetta

  • PV Module Fault Diagnosis Based on Microconverters and Day-Ahead Forecast

    Sonia Leva;Marco Mussetta;Emanuele Ogliari

  • ANN Sizing Procedure for the Day-Ahead Output Power Forecast of a PV Plant

    Francesco Grimaccia;Sonia Leva;Marco Mussetta;Emanuele Ogliari

Frequent Co-Authors

Francesco Grimaccia
Francesco Grimaccia Polytechnic University of Milan
Sonia Leva
Sonia Leva Polytechnic University of Milan
Ladislau Matekovits
Ladislau Matekovits Polytechnic University of Turin
Nader Engheta
Nader Engheta University of Pennsylvania
Jean-Michel Nunzi
Jean-Michel Nunzi Queen's University
Marimuthu Palaniswami
Marimuthu Palaniswami University of Melbourne
Sutharshan Rajasegarar
Sutharshan Rajasegarar Deakin University
Matteo Albani
Matteo Albani University of Siena

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