World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
71
Citations
45231
World Ranking
942
National Ranking
175

Jean-Michel Morel 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 Jean-Michel Morel 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: 427 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Jean-Michel Morel 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 Jean-Michel Morel 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: 71 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Jean-Michel Morel is affiliated with City University of Hong Kong in China. Their research focuses predominantly on computer science and engineering, with key expertise in computer vision and pattern recognition, artificial intelligence, media technology, aerospace engineering, and modeling and simulation.

The scientist's work spans several main topics, including:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • COVID-19 epidemiological studies
  • Digital Media Forensic Detection
  • Advanced Vision and Imaging

They have contributed to numerous papers, including:

  • "Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery", 2022, Environmental Science & Technology
  • "Clinical Evidence of the Benefits of Phytonutrients in Human Healthcare", 2022, Nutrients
  • "Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery", 2021, arXiv (Cornell University)
  • "Computing the daily reproduction number of COVID-19 by inverting the renewal equation using a variational technique", 2021, Proceedings of the National Academy of Sciences
  • "Fast, Nonlocal and Neural: A Lightweight High Quality Solution to Image Denoising", 2021, IEEE Signal Processing Letters

Frequent coauthors include:

  • Gabriele Facciolo
  • Rafael Grompone von Gioi
  • Thibaud Ehret
  • Miguel Colom
  • Carlo de Franchis

Morel has published extensively in key venues such as:

  • arXiv (Cornell University)
  • Image Processing On Line
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Mathematical Imaging and Vision

They also have contributions in book publications, including a title published by Presses Universitaires De France called La Phyto-aromathérapie in 2020.

Best Publications

  • A non-local algorithm for image denoising

    A. Buades;B. Coll;J.-M. Morel

  • A Review of Image Denoising Algorithms, with a New One

    Antoni Buades;Bartomeu Coll;Jean-Michel Morel

  • Image selective smoothing and edge detection by nonlinear diffusion. II

    Luis Alvarez;Pierre-Louis Lions;Jean-Michel Morel

  • LSD: A Fast Line Segment Detector with a False Detection Control

    R.G. von Gioi;J. Jakubowicz;J.-M. Morel;G. Randall

  • ASIFT: A New Framework for Fully Affine Invariant Image Comparison

    Jean-Michel Morel;Guoshen Yu

  • Axioms and fundamental equations of image processing

    Luis Alvarez;Frédéric Guichard;Pierre Louis Lions;Jean Michel Morel

  • Image Selective Smoothing and Edge Detection by Nonlinear Diffusion

    Unknown

  • Non-Local Means Denoising

    Antoni Buades;Bartomeu Coll;Jean-Michel Morel

  • Variational Methods in Image Segmentation: with seven image processing experiments

    Jean-Michel Morel;Sergio Solimini

  • Nonlocal Image and Movie Denoising

    Antoni Buades;Bartomeu Coll;Jean-Michel Morel

  • LSD: a Line Segment Detector

    Rafael Grompone von Gioi;Jérémie Jakubowicz;Jean-Michel Morel;Gregory Randall

  • Variational methods in image segmentation

    Jean Michel Morel;Sergio Solimini

  • Level lines based disocclusion

    S. Masnou;J.-M. Morel

  • Image Denoising Methods. A New Nonlocal Principle

    A. Buades;B. Coll;J. M. Morel

  • From Gestalt Theory to Image Analysis: A Probabilistic Approach

    Agns Desolneux;Lionel Moisan;Jean-Michel Morel

  • An axiomatic approach to image interpolation

    V. Caselles;J.-M. Morel;C. Sbert

  • ASIFT: An Algorithm for Fully Affine Invariant Comparison

    Guoshen Yu;Jean-Michel Morel

  • On image denoising methods

    Antoni Buades;Bartomeu Coll;Jean Michel Morel

  • A Nonlocal Bayesian Image Denoising Algorithm

    Marc Lebrun;Antoni Buades;Jean-Michel Morel

  • A multiscale algorithm for image segmentation by variational method

    G. Koepfler;C. Lopez;J. M. Morel

  • The staircasing effect in neighborhood filters and its solution

    A. Buades;B. Coll;J.-M. Morel

  • Edge Detection by Helmholtz Principle

    Agnès Desolneux;Lionel Moisan;Jean-Michel Morel

  • A variational method in image segmentation: Existence and approximation results

    Gianni Dal Maso;Jean-Michel Morel;Sergio Solimini

  • Fast Cartoon + Texture Image Filters

    Antoni Buades;Triet M Le;Jean-Michel Morel;Luminita A Vese

  • Shape preserving local histogram modification

    V. Caselles;J.-L. Lisani;J.-M. Morel;G. Sapiro

  • Neighborhood filters and PDE’s

    Antoni Buades;Bartomeu Coll;Jean-Michel Morel

  • Connected components of sets of finite perimeter and applications to image processing

    Luigi Ambrosio;Vicent Caselles;Simon Masnou;Jean-Michel Morel

  • A PDE Formalization of Retinex Theory

    Jean Michel Morel;Ana Belén Petro;Catalina Sbert

  • Topographic Maps and Local Contrast Changes in Natural Images

    Vicent Caselles;Bartomeu Coll;Jean-Michel Morel

Frequent Co-Authors

Kaushik De
Kaushik De The University of Texas at Arlington
B. Gibbard
B. Gibbard Brookhaven National Laboratory
Hermann Kolanoski
Hermann Kolanoski Deutsches Elektronen-Synchrotron DESY
J. T. Linnemann
J. T. Linnemann Michigan State University

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