World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5527
World Ranking
10797
National Ranking
340

Simone Bianco 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 Simone Bianco 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: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Simone Bianco 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 Simone Bianco 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Simone Bianco is affiliated with the University of Milano-Bicocca in Italy. Their research primarily lies within the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition. The work covers various subfields including Atomic and Molecular Physics, and Optics, Artificial Intelligence, Media Technology, and Experimental and Cognitive Psychology.

Their research topics emphasize Image Enhancement Techniques, Color Science and Applications, Advanced Vision and Imaging, Advanced Image Processing Techniques, Image and Signal Denoising Methods, Visual Attention and Saliency Detection, as well as Emotion and Mood Recognition.

Simone Bianco has contributed to numerous publications, with some of the recent papers including:

  • NTIRE 2022 Spectral Recovery Challenge and Data Set, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • An introduction to quantum machine learning: from quantum logic to quantum deep learning, 2021, Quantum Machine Intelligence
  • NTIRE 2022 Challenge on Night Photography Rendering, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Personalized Image Enhancement Using Neural Spline Color Transforms, 2020, IEEE Transactions on Image Processing
  • Designing an AI-Based Virtual Try-On Web Application, 2022, Sensors

Frequent co-authors collaborating with Simone Bianco include Raimondo Schettini, Marco Buzzelli, Luigi Celona, Paolo Napoletano, and Claudio Rota.

Bianco's work has been published multiple times in notable venues such as arXiv (Cornell University), Sensors, the Color and Imaging Conference, the London Imaging Meeting, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Best Publications

  • Benchmark Analysis of Representative Deep Neural Network Architectures

    Simone Bianco;Remi Cadene;Luigi Celona;Paolo Napoletano

  • On the use of deep learning for blind image quality assessment

    Simone Bianco;Luigi Celona;Paolo Napoletano;Raimondo Schettini

  • A new ultrafast superionic Li-conductor: ion dynamics in Li 11 Si 2 PS 12 and comparison with other tetragonal LGPS-type electrolytes

    Unknown

  • Color constancy using CNNs

    Simone Bianco;Claudio Cusano;Raimondo Schettini

  • Evaluating the Performance of Structure from Motion Pipelines

    Simone Bianco;Gianluigi Ciocca;Davide Marelli

  • Improving Color Constancy Using Indoor–Outdoor Image Classification

    S. Bianco;G. Ciocca;C. Cusano;R. Schettini

  • Single and Multiple Illuminant Estimation Using Convolutional Neural Networks

    Simone Bianco;Claudio Cusano;Raimondo Schettini

  • Combination of Video Change Detection Algorithms by Genetic Programming

    Simone Bianco;Gianluigi Ciocca;Raimondo Schettini

  • NTIRE 2022 Spectral Recovery Challenge and Data Set

    Unknown

  • Deep learning for logo recognition

    Simone Bianco;Marco Buzzelli;Davide Mazzini;Raimondo Schettini

  • Automatic color constancy algorithm selection and combination

    S. Bianco;G. Ciocca;C. Cusano;R. Schettini

  • An interactive tool for manual, semi-automatic and automatic video annotation

    Simone Bianco;Gianluigi Ciocca;Paolo Napoletano;Raimondo Schettini

  • How Far Can You Get by Combining Change Detection Algorithms

    Simone Bianco;Gianluigi Ciocca;Raimondo Schettini

  • Color constancy using faces

    Simone Bianco;Raimondo Schettini

  • Large Age-Gap face verification by feature injection in deep networks

    Simone Bianco

  • NTIRE 2019 Challenge on Real Image Denoising: Methods and Results

    Abdelrahman Abdelhamed;Radu Timofte;Michael S. Brown;Songhyun Yu

  • Quasi-Unsupervised Color Constancy

    Simone Bianco;Claudio Cusano

  • Adaptive Color Constancy Using Faces

    Simone Bianco;Raimondo Schettini

  • An introduction to quantum machine learning: from quantum logic to quantum deep learning

    Leonardo Alchieri;Davide Badalotti;Pietro Bonardi;Simone Bianco

  • NTIRE 2022 Challenge on Night Photography Rendering

    Unknown

  • Consensus-based framework for illuminant chromaticity estimation

    Simone Bianco;Francesca Gasparini;Raimondo Schettini

  • Automated Pruning for Deep Neural Network Compression

    Franco Manessi;Alessandro Rozza;Simone Bianco;Paolo Napoletano

Frequent Co-Authors

Raimondo Schettini
Raimondo Schettini University of Milano-Bicocca
Paolo Napoletano
Paolo Napoletano University of Milano-Bicocca
Leonardo Vanneschi
Leonardo Vanneschi Universidade Nova de Lisboa
Mark S. Drew
Mark S. Drew Simon Fraser University
Brian V. Funt
Brian V. Funt Simon Fraser University
Graham D. Finlayson
Graham D. Finlayson University of East Anglia
Riccardo Riva
Riccardo Riva Technical University of Denmark
Sebastiano Battiato
Sebastiano Battiato University of Catania
Gerhard Reinelt
Gerhard Reinelt Heidelberg University

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