World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8498
World Ranking
6522
National Ranking
152

Enrico Magli 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 Enrico Magli 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: 377 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.

Enrico Magli 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 Enrico Magli 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to compression and communication of remotely sensed imagery

Overview

Enrico Magli is affiliated with the Polytechnic University of Turin in Italy, where research activities span multiple disciplines including computer science, engineering, and physics and astronomy. Their work includes a significant focus on computer vision, pattern recognition, and the application of advanced imaging techniques to various scientific and engineering challenges.

The scientist's main fields of study include:

  • Computer Science
  • Engineering
  • Physics and Astronomy

Within these broader areas, Magli's research extends into specialized subfields such as:

  • Computer Vision and Pattern Recognition
  • Astronomy and Astrophysics
  • Media Technology
  • Computational Mechanics
  • Aerospace Engineering

The central topics they work on cover areas related to image processing and astrophysical phenomena:

  • Solar and Space Plasma Dynamics
  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Stellar, Planetary, and Galactic Studies
  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Generative Adversarial Networks and Image Synthesis

Enrico Magli has published in a variety of venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Astronomy and Astrophysics
  • IEEE Access
  • International Conference on Space Optics - ICSO 2020
  • Zenodo (CERN European Organization for Nuclear Research)

Recent papers by Magli include:

  • "Metis: the Solar Orbiter visible light and ultraviolet coronal imager," 2020, Springer Link (Chiba Institute of Technology)
  • "First light observations of the solar wind in the outer corona with the Metis coronagraph," 2021, Astronomy and Astrophysics
  • "Permutation invariance and uncertainty in multitemporal image super-resolution," 2021, arXiv (Cornell University)
  • "Learning Robust Graph-Convolutional Representations for Point Cloud Denoising," 2020, IEEE Journal of Selected Topics in Signal Processing
  • "The CCSDS 123.0-B-2 'Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression' Standard: A comprehensive review," 2021, IEEE Geoscience and Remote Sensing Magazine

Magli collaborates regularly with several co-authors, notably:

  • Diego Valsesia
  • Silvano Fineschi
  • G. Nicolini
  • Roberto Susino
  • Tiziano Bianchi

Recognition of Magli's contributions includes being named an IEEE Fellow in 2017 for work in compression and communication of remotely sensed imagery.

Best Publications

  • Transform Coding Techniques for Lossy Hyperspectral Data Compression

    B. Penna;T. Tillo;E. Magli;G. Olmo

  • Optimized onboard lossless and near-lossless compression of hyperspectral data using CALIC

    E. Magli;G. Olmo;E. Quacchio

  • Multimedia Selective Encryption by Means of Randomized Arithmetic Coding

    M. Grangetto;E. Magli;G. Olmo

  • Metis: the Solar Orbiter visible light and ultraviolet coronal imager

    Ester Antonucci;Marco Romoli;Marco Romoli;Vincenzo Andretta;Silvano Fineschi

  • Distributed Compressed Sensing

    Giulio Coluccia;Chiara Ravazzi;Enrico Magli

  • DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images

    Andrea Bordone Molini;Diego Valsesia;Giulia Fracastoro;Enrico Magli

  • Progressive 3-D coding of hyperspectral images based on JPEG 2000

    B. Penna;T. Tillo;E. Magli;G. Olmo

  • Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives

    Giulia Fracastoro;Enrico Magli;Giovanni Poggi;Giuseppe Scarpa

  • Deep Graph-Convolutional Image Denoising

    Diego Valsesia;Giulia Fracastoro;Enrico Magli

  • Optimization and implementation of the integer wavelet transform for image coding

    M. Grangetto;E. Magli;M. Martina;G. Olmo

  • Analysis of One-Time Random Projections for Privacy Preserving Compressed Sensing

    Tiziano Bianchi;Valerio Bioglio;Enrico Magli

  • Concealment of whole-frame losses for wireless low bit-rate video based on multiframe optical flow estimation

    S. Belfiore;M. Grangetto;E. Magli;G. Olmo

  • Energy consumption and image quality in wireless video-surveillance networks

    C.-F. Chiasserini;E. Magli

  • A Tutorial on Image Compression for Optical Space Imaging Systems

    Ian Blanes;Enrico Magli;Joan Serra-Sagrista

  • Low-complexity video compression for wireless sensor networks

    E. Magli;M. Mancin;L. Merello

  • Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

    Diego Valsesia;Giulia Fracastoro;Enrico Magli

  • Graph Spectral Image Processing

    Gene Cheung;Enrico Magli;Yuichi Tanaka;Michael K. Ng

  • Network Coding Meets Multimedia: A Review

    Enrico Magli;Mea Wang;Pascal Frossard;Athina Markopoulou

  • Sliding-Window Digital Fountain Codes for Streaming of Multimedia Contents

    M.C.O. Bogino;P. Cataldi;M. Grangetto;E. Magli

  • Error-Resilient and Low-Complexity Onboard Lossless Compression of Hyperspectral Images by Means of Distributed Source Coding

    A. Abrardo;M. Barni;E. Magli;F. Nencini

  • Compressed Fingerprint Matching and Camera Identification via Random Projections

    Diego Valsesia;Giulio Coluccia;Tiziano Bianchi;Enrico Magli

Frequent Co-Authors

Tiziano Bianchi
Tiziano Bianchi Polytechnic University of Turin
Mauro Barni
Mauro Barni University of Siena
Franco Bartolini
Franco Bartolini University of Florence
Andrea Garzelli
Andrea Garzelli University of Siena
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Gene Cheung
Gene Cheung York University
Marco Velli
Marco Velli University of California, Los Angeles
Joachim Woch
Joachim Woch Max Planck Society
Carla-Fabiana Chiasserini
Carla-Fabiana Chiasserini Polytechnic University of Turin

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