World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7072
World Ranking
6945
National Ranking
233

Aurelio Uncini 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 Aurelio Uncini 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: 314 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Aurelio Uncini 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 Aurelio Uncini 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: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Aurelio Uncini is affiliated with Sapienza University of Rome in Italy. Their research primarily falls within the broad field of Computer Science with a significant focus on subfields such as Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, and Media Technology.

The scientist's work covers a range of main topics including:

  • Music and Audio Processing
  • Speech and Audio Processing
  • Image and Signal Denoising Methods
  • Music Technology and Sound Studies
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Generative Adversarial Networks and Image Synthesis

Recent notable papers authored or co-authored by Aurelio Uncini include:

  • "Missing data imputation with adversarially-trained graph convolutional networks" (2020), published in Neural Networks
  • "Adaptive Propagation Graph Convolutional Network" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Complex-valued neural networks with nonparametric activation functions" (2020), published in IRIS Research product catalog (Sapienza University of Rome)
  • "FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning" (2021), published in IEEE Transactions on Artificial Intelligence
  • "Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring" (2020), published in Journal of Computing in Civil Engineering

Their frequent co-authors include:

  • Danilo Comminiello
  • Simone Scardapane
  • Eleonora Grassucci
  • Michele Scarpiniti
  • Jary Pomponi

Aurelio Uncini's publications have appeared in several prominent venues, including:

  • arXiv (Cornell University)
  • IRIS Research product catalog (Sapienza University of Rome)
  • Neural Networks
  • Neurocomputing
  • 2022 International Joint Conference on Neural Networks (IJCNN)

In addition to journal and conference papers, the scientist has one book published with Springer Nature titled Digital Audio Processing Fundamentals (2022).

Best Publications

  • Group sparse regularization for deep neural networks

    Simone Scardapane;Danilo Comminiello;Amir Hussain;Aurelio Uncini

  • On-line learning algorithms for locally recurrent neural networks

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

  • Applications of simulated annealing for the design of special digital filters

    N. Benvenuto;M. Marchesi;A. Uncini

  • Nonlinear spline adaptive filtering

    Michele Scarpiniti;Danilo Comminiello;Raffaele Parisi;Aurelio Uncini

  • Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation

    D. Comminiello;M. Scarpiniti;L. A. Azpicueta-Ruiz;J. Arenas-Garcia

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

    Lorenzo Vecci;Francesco Piazza;Aurelio Uncini

  • Fast neural networks without multipliers

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

  • Why should we add early exits to neural networks

    Simone Scardapane;Michele Scarpiniti;Enzo Baccarelli;Aurelio Uncini

  • Missing data imputation with adversarially-trained graph convolutional networks

    Indro Spinelli;Simone Scardapane;Aurelio Uncini

  • Multilayer feedforward networks with adaptive spline activation function

    S. Guarnieri;F. Piazza;A. Uncini

  • Online Sequential Extreme Learning Machine With Kernels

    Simone Scardapane;Danilo Comminiello;Michele Scarpiniti;Aurelio Uncini

  • Distributed learning for Random Vector Functional-Link networks

    Simone Scardapane;Dianhui Wang;Massimo Panella;Aurelio Uncini

  • FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning

    Unknown

  • Fundamentals of Adaptive Signal Processing

    Aurelio Uncini

  • 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

  • Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties

    Michele Scarpiniti;Danilo Comminiello;Raffaele Parisi;Aurelio Uncini

  • Prediction of telephone calls load using Echo State Network with exogenous variables

    Filippo Maria Bianchi;Simone Scardapane;Aurelio Uncini;Antonello Rizzi

  • Adaptive Propagation Graph Convolutional Network

    Indro Spinelli;Simone Scardapane;Aurelio Uncini

  • Complex-Valued Neural Networks With Nonparametric Activation Functions

    Simone Scardapane;Steven Van Vaerenbergh;Amir Hussain;Aurelio Uncini

  • Kafnets: Kernel-based non-parametric activation functions for neural networks.

    Simone Scardapane;Steven Van Vaerenbergh;Simone Totaro;Aurelio Uncini

  • Novel Cascade Spline Architectures for the Identification of Nonlinear Systems

    Michele Scarpiniti;Danilo Comminiello;Raffaele Parisi;Aurelio Uncini

  • Complex-valued Neural Networks with Non-parametric Activation Functions.

    Simone Scardapane;Steven Van Vaerenbergh;Amir Hussain;Aurelio Uncini

Frequent Co-Authors

Francesco Piazza
Francesco Piazza Marche Polytechnic University
Michele Marchesi
Michele Marchesi University of Cagliari
Enzo Baccarelli
Enzo Baccarelli Sapienza University of Rome
Amir Hussain
Amir Hussain Edinburgh Napier University
Dianhui Wang
Dianhui Wang La Trobe University
Bhaskar D. Rao
Bhaskar D. Rao University of California, San Diego
F. Filippetti
F. Filippetti University of Bologna
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Giovanni Franceschini
Giovanni Franceschini University of Modena and Reggio Emilia
Romano Fantacci
Romano Fantacci University of Florence

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