World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
9043
World Ranking
8274
National Ranking
500

Pier Luigi Dragotti 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 Pier Luigi Dragotti 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: 275 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Pier Luigi Dragotti 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 Pier Luigi Dragotti 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: 42 D-Index — 43rd percentile

43% 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 sparse signal representation and sampling theory

Overview

Pier Luigi Dragotti is affiliated with Imperial College London in the United Kingdom. Their research spans multiple fields with primary focus areas including Computer Science and Engineering.

Their work addresses key subfields such as Computer Vision and Pattern Recognition, Biophysics, Electrical and Electronic Engineering, Artificial Intelligence, and Radiology, Nuclear Medicine, and Imaging.

Frequent topics in their research include:

  • Image and Signal Denoising Methods
  • Advanced Fluorescence Microscopy Techniques
  • Advanced Image Processing Techniques
  • Sparse and Compressive Sensing Techniques
  • Advanced Memory and Neural Computing
  • Neural Dynamics and Brain Function
  • Optical Coherence Tomography Applications

Their publication record includes numerous contributions to venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Computational Imaging
  • 2021 29th European Signal Processing Conference (EUSIPCO)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent papers authored in collaboration with others are:

  • Neural heterogeneity promotes robust learning, 2021, Nature Communications
  • Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • WINNet: Wavelet-Inspired Invertible Network for Image Denoising, 2022, IEEE Transactions on Image Processing
  • AI-Based Reconstruction for Fast MRI-A Systematic Review and Meta-Analysis, 2022, Proceedings of the IEEE
  • Generative Joint Source-Channel Coding for Semantic Image Transmission, 2023, IEEE Journal on Selected Areas in Communications

Frequent co-authors with whom they have published extensively include:

  • Junjie Huang
  • Herman Verinaz-Jadan
  • Carmel L. Howe
  • Pingfan Song
  • Amanda J. Foust

They have been recognized as an IEEE Fellow in 2017 for contributions to sparse signal representation and sampling theory.

Best Publications

  • DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

    Guang Yang;Simiao Yu;Hao Dong;Greg Slabaugh

  • Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang–Fix

    P.L. Dragotti;M. Vetterli;T. Blu

  • Sparse Sampling of Signal Innovations

    T. Blu;P.-L. Dragotti;M. Vetterli;P. Marziliano

  • Compression of multispectral images by three-dimensional SPIHT algorithm

    P. Luigi Dragotti;G. Poggi;A.R.P. Ragozini

  • Directionlets: anisotropic multidirectional representation with separable filtering

    V. Velisavljevic;B. Beferull-Lozano;M. Vetterli;P.L. Dragotti

  • The Distributed Karhunen–Loève Transform

    M. Gastpar;P.L. Dragotti;M. Vetterli

  • Neural heterogeneity promotes robust learning.

    Nicolas Perez-Nieves;Vincent C. H. Leung;Pier Luigi Dragotti;Dan F. M. Goodman

  • Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion

    Xin Deng;Pier Luigi Dragotti

  • Rate-distortion optimized tree-structured compression algorithms for piecewise polynomial images

    R. Shukla;P.L. Dragotti;M.N. Do;M. Vetterli

  • Wavelet footprints: theory, algorithms, and applications

    P.L. Dragotti;M. Vetterli

  • Filter bank frame expansions with erasures

    J. Kovacevic;P.L. Dragotti;V.K. Goyal

  • AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis

    Unknown

  • Distributed Source Coding: Theory, Algorithms and Applications

    Pier Luigi Dragotti;Michael Gastpar

  • Generative Joint Source-Channel Coding for Semantic Image Transmission

    Unknown

  • FRI Sampling With Arbitrary Kernels

    Jose Antonio Uriguen;Thierry Blu;Pier Luigi Dragotti

  • Exact Feature Extraction Using Finite Rate of Innovation Principles With an Application to Image Super-Resolution

    L. Baboulaz;P.L. Dragotti

  • A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging

    Jon Oñativia;Simon R Schultz;Pier Luigi Dragotti

  • WINNet: Wavelet-inspired Invertible Network for Image Denoising

    Jun-Jie Huang;Pier Luigi Dragotti

  • Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries

    Pingfan Song;Xin Deng;Joao F. C. Mota;Nikos Deligiannis

  • Sensing reality and communicating bits: a dangerous liaison

    M. Gastpar;M. Vetterli;P.L. Dragotti

  • Sampling Schemes for Multidimensional Signals With Finite Rate of Innovation

    P. Shukla;P.L. Dragotti

  • Sampling Piecewise Sinusoidal Signals With Finite Rate of Innovation Methods

    J. Berent;P.L. Dragotti;T. Blu

  • Symmetric and asymmetric Slepian-Wolf codes with systematic and nonsystematic linear codes

    N. Gehrig;P.L. Dragotti

  • Rate-Distortion Optimized Tree-Structured Compression Algorithms for Piecewise

    Rahul Shukla;Pier Luigi Dragotti;Minh N. Do;Martin Vetterli

Frequent Co-Authors

Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Yue M. Lu
Yue M. Lu Beijing University of Posts and Telecommunications
Deniz Gunduz
Deniz Gunduz Imperial College London
Thierry Blu
Thierry Blu Chinese University of Hong Kong
Michael Gastpar
Michael Gastpar École Polytechnique Fédérale de Lausanne
Marco Tagliasacchi
Marco Tagliasacchi Google (Switzerland)
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Stefano Tubaro
Stefano Tubaro Polytechnic University of Milan
Mai Xu
Mai Xu Beihang University
Simon R. Arridge
Simon R. Arridge University College London

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