World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
13081
World Ranking
4765
National Ranking
2216

Pierre Moulin 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 Pierre Moulin 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: 287 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Pierre Moulin 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 Pierre Moulin 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Pierre Moulin is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple domains within Computer Science, Medicine, and Biochemistry, Genetics and Molecular Biology, with a significant focus on Artificial Intelligence and its applications in medical and biological contexts.

The main fields of study associated with their work include:

  • Computer Science
  • Medicine
  • Biochemistry, Genetics and Molecular Biology

Moulin's research subfields consist predominantly of Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, and Biophysics.

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Biophysics

In terms of specific topics, their work covers a range of areas focusing on machine learning, image analysis, and medical applications:

  • AI in cancer detection
  • Adversarial Robustness in Machine Learning
  • Cell Image Analysis Techniques
  • Anomaly Detection Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Bacillus and Francisella bacterial research
  • Colorectal Cancer Screening and Detection

They have participated in multiple research publications across diverse scientific journals and conferences. Some recent papers include:

  • A Multicentre, Double-Blind, Placebo-Controlled, Parallel-Group Study to Evaluate the Efficacy, Safety, and Tolerability of the S1P Receptor Agonist KRP203 in Patients with Moderately Active Refractory Ulcerative Colitis (2020, Inflammatory Intestinal Diseases)
  • IMI-Bigpicture: A Central Repository for Digital Pathology (2021, Toxicologic Pathology)
  • HistoNet: A Deep Learning-Based Model of Normal Histology (2021, Toxicologic Pathology)
  • Improving adversarial robustness by learning shared information (2022, Pattern Recognition)
  • The Application, Challenges, and Advancement Toward Regulatory Acceptance of Digital Toxicologic Pathology: Results of the 7th ESTP International Expert Workshop (September 20-21, 2019) (2020, Toxicologic Pathology)

The most frequent publication venues include:

  • Toxicologic Pathology
  • IEEE Transactions on Information Forensics and Security
  • arXiv (Cornell University)
  • Inflammatory Intestinal Diseases
  • Pattern Recognition

Moulin has collaborated extensively with a group of frequent coauthors, who have contributed to multiple works together. These collaborators include:

  • Imtiaz Hossain
  • Judith Knehr
  • Katrien Grünberg
  • Erio Barale-Thomas
  • Hölger Hoefling

This profile reflects Moulin's involvement in advancing knowledge at the intersection of computational methods and biomedical research, with applications particularly in digital pathology, medical imaging, and machine learning-based cancer detection methodologies.

Best Publications

  • Low-complexity image denoising based on statistical modeling of wavelet coefficients

    M. Kivanc Mihcak;I. Kozintsev;K. Ramchandran;P. Moulin

  • Information-theoretic analysis of information hiding

    P. Moulin;J.A. O'Sullivan

  • RGBD-HuDaAct: A color-depth video database for human daily activity recognition

    Bingbing Ni;Gang Wang;Pierre Moulin

  • Robust image hashing

    R. Venkatesan;S.-M. Koon;M.H. Jakubowski;P. Moulin

  • Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors

    P. Moulin;Juan Liu

  • Deep hashing for compact binary codes learning

    Venice Erin Liong;Jiwen Lu;Gang Wang;Pierre Moulin

  • Data-Hiding Codes

    P. Moulin;R. Koetter

  • Information-theoretic analysis of interscale and intrascale dependencies between image wavelet coefficients

    Juan Liu;P. Moulin

  • Optimized Feature Extraction for Learning-Based Image Steganalysis

    Ying Wang;P. Moulin

  • A framework for evaluating the data-hiding capacity of image sources

    P. Moulin;M.K. Mihcak

  • Multi-manifold deep metric learning for image set classification

    Jiwen Lu;Gang Wang;Weihong Deng;Pierre Moulin

  • Human Identity and Gender Recognition From Gait Sequences With Arbitrary Walking Directions

    Jiwen Lu;Gang Wang;Pierre Moulin

  • Wavelet thresholding techniques for power spectrum estimation

    P. Moulin

  • Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition

    Jiwen Lu;Gang Wang;Jie Zhou

  • Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition

    Jiwen Lu;Gang Wang;Weihong Deng;Pierre Moulin

  • Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning

    Jiwen Lu;Gang Wang;Pierre Moulin

  • Perfectly Secure Steganography: Capacity, Error Exponents, and Code Constructions

    Ying Wang;P. Moulin

  • The role of information theory in watermarking and its application to image watermarking

    Pierre Moulin

  • A particle filtering approach to FM-band passive radar tracking and automatic target recognition

    S. Herman;P. Moulin

  • Multilevel Depth and Image Fusion for Human Activity Detection

    Bingbing Ni;Yong Pei;Pierre Moulin;Shuicheng Yan

Frequent Co-Authors

Bingbing Ni
Bingbing Ni Shanghai Jiao Tong University
Yoram Bresler
Yoram Bresler University of Illinois at Urbana-Champaign
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Prakash Ishwar
Prakash Ishwar Boston University
Jong Chul Ye
Jong Chul Ye Korea Advanced Institute of Science and Technology
Jiwen Lu
Jiwen Lu Tsinghua University
Shuicheng Yan
Shuicheng Yan National University of Singapore
Joseph A. O'Sullivan
Joseph A. O'Sullivan Washington University in St. Louis
Mihai Anitescu
Mihai Anitescu Argonne National Laboratory
Venugopal V. Veeravalli
Venugopal V. Veeravalli University of Illinois at Urbana-Champaign

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