World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6403
World Ranking
11147
National Ranking
357

Francesco Piazza publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Francesco Piazza sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 375 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Francesco Piazza D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Francesco Piazza sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Francesco Piazza is affiliated with Marche Polytechnic University in Italy. Their research primarily spans the field of Physics and Astronomy, with a focus on several subfields including Atomic and Molecular Physics, and Optics, Molecular Biology, Condensed Matter Physics, Statistical and Nonlinear Physics, and Modeling and Simulation.

The scientist's work covers a spectrum of topics such as Cold Atom Physics and Bose-Einstein Condensates, Advanced Thermodynamics and Statistical Mechanics, Physics of Superconductivity and Magnetism, Theoretical and Computational Physics, Protein Structure and Dynamics, COVID-19 epidemiological studies, and Quantum and Electron Transport Phenomena.

Recent papers authored or coauthored by Francesco Piazza include:

  • "Analysis and forecast of COVID-19 spreading in China, Italy and France" (2020) Chaos Solitons & Fractals
  • "Dissipation-driven selection of states in non-equilibrium chemical networks" (2021) Communications Chemistry
  • "The physics of boundary conditions in reaction-diffusion problems" (2022) The Journal of Chemical Physics
  • "COVID-19: The unreasonable effectiveness of simple models" (2020) Chaos Solitons & Fractals X
  • "Non-Fermi-Liquid Behavior from Cavity Electromagnetic Vacuum Fluctuations at the Superradiant Transition" (2023) Physical Review Letters

Frequent coauthors in their research include:

  • Daniel Maria Busiello
  • Paolo De Los Rios
  • Josef Hamáček
  • Duccio Fanelli
  • Shiling Liang

Publications by Francesco Piazza have appeared repeatedly in several venues, including:

  • arXiv (Cornell University)
  • Physical Review Letters
  • The Journal of Chemical Physics
  • Nature Communications
  • Chaos Solitons & Fractals

Best Publications

  • On the complex backpropagation algorithm

    N. Benvenuto;F. Piazza

  • Optimal Home Energy Management Under Dynamic Electrical and Thermal Constraints

    Francesco De Angelis;Matteo Boaro;Danilo Fuselli;Stefano Squartini

  • Unsupervised electric motor fault detection by using deep autoencoders

    Emanuele Principi;Damiano Rossetti;Stefano Squartini;Francesco Piazza

  • Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models

    Roberto Bonfigli;Emanuele Principi;Marco Fagiani;Marco Severini

  • On-line learning algorithms for locally recurrent neural networks

    P. Campolucci;A. Uncini;F. Piazza;B.D. Rao

  • Learning and approximation capabilities of adaptive spline activation function neutral networks

    Lorenzo Vecci;Francesco Piazza;Aurelio Uncini

  • Denoising autoencoders for Non-Intrusive Load Monitoring: Improvements and comparative evaluation

    Roberto Bonfigli;Andrea Felicetti;Emanuele Principi;Marco Fagiani

  • Fast neural networks without multipliers

    M. Marchesi;G. Orlandi;F. Piazza;A. Uncini

  • Action dependent heuristic dynamic programming for home energy resource scheduling

    Danilo Fuselli;Francesco De Angelis;Matteo Boaro;Stefano Squartini

  • Multilayer feedforward networks with adaptive spline activation function

    S. Guarnieri;F. Piazza;A. Uncini

  • Unsupervised algorithms for non-intrusive load monitoring: An up-to-date overview

    Roberto Bonfigli;Stefano Squartini;Marco Fagiani;Francesco Piazza

  • Sentic Web: A New Paradigm for Managing Social Media Affective Information

    Marco Grassi;Erik Cambria;Amir Hussain;Francesco Piazza

  • Fast combinatorial RNS processors for DSP applications

    E.D. Di Claudio;F. Piazza;G. Orlandi

  • Neural networks with digital LUT activation functions

    F. Piazza;A. Uncini;M. Zenobi

  • Complex-valued neural networks with adaptive spline activation function for digital-radio-links nonlinear equalization

    A. Uncini;L. Vecci;P. Campolucci;F. Piazza

  • Adaptive Dynamic Programming Algorithm for Renewable Energy Scheduling and Battery Management

    Matteo Boaro;Danilo Fuselli;Francesco De Angelis;Derong Liu

  • Signing individual fragments of an RDF graph

    Giovanni Tummarello;Christian Morbidoni;Paolo Puliti;Francesco Piazza

  • Online sequential extreme learning machine in nonstationary environments

    Yibin Ye;Stefano Squartini;Francesco Piazza

  • Efficient genetic algorithm design for power-of-two FIR filters

    P. Gentili;F. Piazza;A. Uncini

  • Non linear satellite radio links equalized using blind neural networks

    N. Benvenuto;M. Marchesi;F. Piazza;A. Uncini

  • A neural network based algorithm for speaker localization in a multi-room environment

    Fabio Vesperini;Paolo Vecchiotti;Emanuele Principi;Stefano Squartini

Frequent Co-Authors

Stefano Squartini
Stefano Squartini Marche Polytechnic University
Aurelio Uncini
Aurelio Uncini Sapienza University of Rome
Michele Marchesi
Michele Marchesi University of Cagliari
Amir Hussain
Amir Hussain Edinburgh Napier University
Junfeng Li
Junfeng Li Chinese Academy of Sciences
Qinglai Wei
Qinglai Wei Macau University of Science and Technology
Derong Liu
Derong Liu University of Illinois at Chicago
Erik Cambria
Erik Cambria Nanyang Technological University
Marcos Faundez-Zanuy
Marcos Faundez-Zanuy Pompeu Fabra University
Ganesh K. Venayagamoorthy
Ganesh K. Venayagamoorthy Clemson University

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