World's Best Scientists 2026 revealed!
Concetto Spampinato

Concetto Spampinato

D-Index & Metrics

Computer Science

D-Index
43
Citations
7133
World Ranking
8030
National Ranking
217

Concetto Spampinato 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 Concetto Spampinato 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: 214 publications — 51st percentile

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

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

Concetto Spampinato 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 Concetto Spampinato 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Concetto Spampinato is affiliated with the University of Catania in Italy and has contributed extensively to the fields of Computer Science and Medicine. Their research output includes a significant number of publications focusing on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, and Oncology.

The scientist has investigated a range of topics in their work, including:

  • COVID-19 diagnosis using AI
  • Visual Attention and Saliency Detection
  • Domain Adaptation and Few-Shot Learning
  • Radiomics and Machine Learning in Medical Imaging
  • Multimodal Machine Learning Applications
  • AI in cancer detection
  • Privacy-Preserving Technologies in Data

Spampinato's recent papers include:

  • A Non-Fungible Token Solution for the Track and Trace of Pharmaceutical Supply Chain (2022, Applied Sciences)
  • Fully automatic segmentation of the mandible based on convolutional neural networks (CNNs) (2021, Orthodontics and Craniofacial Research)
  • Fully automatic segmentation of sinonasal cavity and pharyngeal airway based on convolutional neural networks (2021, American Journal of Orthodontics and Dentofacial Orthopedics)
  • Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies (2020, International Journal of Ad Hoc and Ubiquitous Computing)
  • Deep Learning Provides Exceptional Accuracy to ECoG-Based Functional Language Mapping for Epilepsy Surgery (2020, Frontiers in Neuroscience)

The frequent co-authors of Concetto Spampinato include:

  • Simone Palazzo
  • Francesco Rundo
  • Federica Proietto Salanitri
  • Giovanni Bellitto
  • Ulaş Bağcı

Spampinato has published predominantly in reputed venues, with multiple contributions to arXiv (Cornell University), as well as publications in Computer Vision and Image Understanding, Lecture Notes in Computer Science, Medical Image Analysis, and the International Journal of Ad Hoc and Ubiquitous Computing.

Best Publications

  • KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection

    Konstantin Pogorelov;Kristin Ranheim Randel;Carsten Griwodz;Sigrun Losada Eskeland

  • Semi Supervised Semantic Segmentation Using Generative Adversarial Network

    Nasim Souly;Concetto Spampinato;Mubarak Shah

  • Deep Learning for Automated Skeletal Bone Age Assessment in X-Ray Images

    Concetto Spampinato;Simone Palazzo;Daniela Giordano;Marco Aldinucci

  • DETECTING, TRACKING AND COUNTING FISH IN LOW QUALITY UNCONSTRAINED UNDERWATER VIDEOS

    Concetto Spampinato;Yun-Heh Chen-Burger;Gayathri Nadarajan;Robert B. Fisher

  • Automatic fish classification for underwater species behavior understanding

    Concetto Spampinato;Daniela Giordano;Roberto Di Salvo;Yun-Heh Jessica Chen-Burger

  • Deep Learning Human Mind for Automated Visual Classification

    C. Spampinato;S. Palazzo;I. Kavasidis;D. Giordano

  • LifeCLEF 2015: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervé Goëau;Hervé Glotin;Concetto Spampinato

  • Automatic Cephalometric Analysis

    Rosalia Leonardi;Daniela Giordano;Francesco Maiorana;Concetto Spampinato

  • LifeCLEF 2016: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervè Goëau;Hervè Glotin;Concetto Spampinato

  • A research tool for long-term and continuous analysis of fish assemblage in coral-reefs using underwater camera footage

    Bastiaan Johannes Boom;Jiyin He;Simone Palazzo;Phoenix X. Huang

  • Generative Adversarial Networks Conditioned by Brain Signals

    S. Palazzo;C. Spampinato;I. Kavasidis;D. Giordano

  • Brain2Image: Converting Brain Signals into Images

    Isaak Kavasidis;Simone Palazzo;Concetto Spampinato;Daniela Giordano

  • An innovative web-based collaborative platform for video annotation

    Isaak Kavasidis;Simone Palazzo;Roberto Di Salvo;Daniela Giordano

  • An Automatic System for Skeletal Bone Age Measurement by Robust Processing of Carpal and Epiphysial/Metaphysial Bones

    Daniela Giordano;Concetto Spampinato;Giacomo Scarciofalo;Rosalia Leonardi

  • Adaptive Background Modeling Integrated With Luminosity Sensors and Occlusion Processing for Reliable Vehicle Detection

    A. Faro;D. Giordano;C. Spampinato

  • A Saliency-Based Convolutional Neural Network for Table and Chart Detection in Digitized Documents

    Isaak Kavasidis;Carmelo Pino;Simone Palazzo;Francesco Rundo

  • Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features

    Simone Palazzo;Concetto Spampinato;Isaak Kavasidis;Daniela Giordano

  • Combining literature text mining with microarray data: advances for system biology modeling.

    Alberto Faro;Daniela Giordano;Concetto Spampinato

  • Superpixel-based video object segmentation using perceptual organization and location prior

    Daniela Giordano;Francesca Murabito;Simone Palazzo;Concetto Spampinato

  • LifeCLEF 2014: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervé Goëau;Hervé Glotin;Concetto Spampinato

  • A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documents

    I. Kavasidis;S. Palazzo;C. Spampinato;C. Pino

  • Deep Learning Human Mind for Automated Visual Classification

    Concetto Spampinato;Simone Palazzo;Isaak Kavasidis;Daniela Giordano

Frequent Co-Authors

Mubarak Shah
Mubarak Shah University of Central Florida
Michael Riegler
Michael Riegler OsloMet – Oslo Metropolitan University
Ulas Bagci
Ulas Bagci Northwestern University
Robert B. Fisher
Robert B. Fisher University of Edinburgh
Carsten Griwodz
Carsten Griwodz University of Oslo
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Sebastiano Battiato
Sebastiano Battiato University of Catania
Mariagiovanna Cantone
Mariagiovanna Cantone University of Catania
Rita Bella
Rita Bella University of Catania
Pål Halvorsen
Pål Halvorsen OsloMet – Oslo Metropolitan University

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