World's Best Scientists 2026 revealed!
Alfredo Vaccaro

Alfredo Vaccaro

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
5345
World Ranking
8410
National Ranking
313

Alfredo Vaccaro publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Alfredo Vaccaro sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 212 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Alfredo Vaccaro D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Alfredo Vaccaro sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Alfredo Vaccaro is affiliated with the University of Sannio in Italy and specializes in Engineering, with a primary focus on Electrical and Electronic Engineering. Their research also spans Control and Systems Engineering, Safety, Risk, Reliability and Quality, Aerospace Engineering, and Civil and Structural Engineering.

The main topics within Vaccaro's work include:

  • Power System Optimization and Stability
  • Optimal Power Flow Distribution
  • Energy Load and Power Forecasting
  • Power System Reliability and Maintenance
  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Wind Energy Research and Development

Frequent collaborative partners in Vaccaro's research are Fabrizio De, Antonio Pepiciello, Silvia Iuliano, Davide Astolfi, and D. Villacci.

The main venues for Vaccaro's publications include:

  • Energies
  • International Journal of Electrical Power & Energy Systems
  • Smart Grids and Sustainable Energy
  • Electric Power Systems Research
  • SSRN Electronic Journal

Significant recent papers authored or coauthored by Vaccaro cover topics on wind energy systems, forecasting, and energy management:

  • Condition Monitoring of Wind Turbine Systems by Explainable Artificial Intelligence Techniques, 2023, Sensors
  • Deep autoencoder with localized stochastic sensitivity for short-term load forecasting, 2021, International Journal of Electrical Power & Energy Systems
  • DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting, 2021, IEEE Transactions on Sustainable Energy
  • Increase of capacity in electric arc-furnace steel mill factories by means of a demand-side management strategy and ampacity techniques, 2020, International Journal of Electrical Power & Energy Systems
  • Smart coordination of virtual energy storage systems for distribution network management, 2021, International Journal of Electrical Power & Energy Systems

In addition to journal articles, Vaccaro has contributed to book publications. These include works published by Springer Nature and Springer International Publishing:

  • Advances in Energy Technology, 2020, Springer Nature
  • Progresses in Artificial Intelligence & Robotics: Algorithms & Applications, 2022, Springer International Publishing

Best Publications

  • Multiple-Energy Carriers: Modeling of Production, Delivery, and Consumption

    T Krause;Göran Andersson;K Fröhlich;A Vaccaro

  • A robust optimization approach to energy hub management

    Alessandra Parisio;Carmen Del Vecchio;Alfredo Vaccaro

  • A Decentralized and Cooperative Architecture for Optimal Voltage Regulation in Smart Grids

    A. Vaccaro;G. Velotto;A. F. Zobaa

  • An Integrated Framework for Smart Microgrids Modeling, Monitoring, Control, Communication, and Verification

    A Vaccaro;M Popov;D Villacci;V Terzija

  • An Affine Arithmetic-Based Methodology for Reliable Power Flow Analysis in the Presence of Data Uncertainty

    Alfredo Vaccaro;Claudio A Canizares;Domenico Villacci

  • Decentralized Economic Dispatch in Smart Grids by Self-Organizing Dynamic Agents

    V. Loia;A. Vaccaro

  • Optimisation of energy flow management in hybrid electric vehicles via genetic algorithms

    A. Piccolo;L. Ippolito;V. zo Galdi;A. Vaccaro

  • A Range Arithmetic-Based Optimization Model for Power Flow Analysis Under Interval Uncertainty

    Alfredo Vaccaro;Claudio A. Cañizares;Kankar Bhattacharya

  • An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization

    Hao Yin;Zhen Dong;Yunlong Chen;Jiafei Ge

  • Challenges in energy systems for the smart-cities of the future

    M. Brenna;M.C. Falvo;F. Foiadelli;L. Martirano

  • A goal programming methodology for multiobjective optimization of distributed energy hubs operation

    M. La Scala;A. Vaccaro;A.F. Zobaa

  • An adaptive local learning-based methodology for voltage regulation in distribution networks with dispersed generation

    D. Villacci;G. Bontempi;A. Vaccaro

  • A Self-Organizing Architecture for Decentralized Smart Microgrids Synchronization, Control, and Monitoring

    Alfredo Vaccaro;Vincenzo Loia;Giuseppina Formato;Peter Wall

  • A distributed architecture for online power systems security analysis

    M. Di Santo;A. Vaccaro;D. Villacci;E. Zimeo

  • A Novel Affine Arithmetic Method to Solve Optimal Power Flow Problems With Uncertainties

    Mehrdad Pirnia;Claudio A. Cañizares;Kankar Bhattacharya;Alfredo Vaccaro

  • An Affine Arithmetic-Based Framework for Uncertain Power Flow and Optimal Power Flow Studies

    Alfredo Vaccaro;Claudio A. Canizares

  • Neural diagnostic system for transformer thermal overload protection

    Vincenzo Galdi;Lucio Ippolito;Antonio Piccolo;Alfredo Vaccaro

  • A Self-Organizing Architecture Based on Cooperative Fuzzy Agents for Smart Grid Voltage Control

    Vincenzo Loia;Alfredo Vaccaro;K. Vaisakh

  • A genetic-based methodology for hybrid electric vehicles sizing

    Vincenzo Galdi;Lucio Ippolito;Antonio Piccolo;Alfredo Vaccaro

  • Pervasive grid for large-scale power systems contingency analysis

    Q. Morante;N. Ranaldo;A. Vaccaro;E. Zimeo

  • Optimisation of energy flow management in hybrid electric vehicles via genetic algorithms (2001) IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, 1, pp. 434-434.

    Antonio Piccolo;Lucio Ippolito;Vincenzo Galdi;A. Vaccaro

Frequent Co-Authors

Ahmed F. Zobaa
Ahmed F. Zobaa Brunel University London
Claudio A. Canizares
Claudio A. Canizares University of Waterloo
Vincenzo Loia
Vincenzo Loia University of Salerno
Kankar Bhattacharya
Kankar Bhattacharya University of Waterloo
Gianluca Bontempi
Gianluca Bontempi Université Libre de Bruxelles
Loi Lei Lai
Loi Lei Lai Guangdong University of Technology
Vladimir Terzija
Vladimir Terzija Newcastle University
Stefania Santini
Stefania Santini University of Naples Federico II
Rodolfo Araneo
Rodolfo Araneo Sapienza University of Rome

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