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Pierre Moulin

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 53 4765 4631 2216 2138 287 13081

Pierre Moulin publications per year

The chart shows the history of publications by Pierre Moulin between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Pierre Moulin published across 37 years, from 1989 to 2025, averaging 8.6 papers a year. Output peaked at 25 publications in 2023. 7 of the 320 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2023. 1989: 1 publication 1990: 1 publication 1991: 2 publications 1992: 6 publications 1993: 5 publications 1994: 3 publications 1995: 5 publications 1996: 4 publications 1997: 6 publications 1998: 11 publications 1999: 6 publications 2000: 18 publications 2001: 12 publications 2002: 13 publications 2003: 15 publications 2004: 11 publications 2005: 10 publications 2006: 17 publications 2007: 13 publications 2008: 7 publications 2009: 17 publications 2010: 7 publications 2011: 3 publications 2012: 12 publications 2013: 11 publications 2014: 14 publications 2015: 17 publications 2016: 6 publications 2017: 13 publications 2018: 8 publications 2019: 3 publications 2020: 4 publications 2021: 4 publications 2022: 3 publications 2023: 25 publications 2024: 4 publications 2025: 3 publications
1989 2025

320 publications in total across all disciplines

View publications per year as a table
Pierre Moulin: publications per year, 1989 to 2025
Year Publications
1989 1
1990 1
1991 2
1992 6
1993 5
1994 3
1995 5
1996 4
1997 6
1998 11
1999 6
2000 18
2001 12
2002 13
2003 15
2004 11
2005 10
2006 17
2007 13
2008 7
2009 17
2010 7
2011 3
2012 12
2013 11
2014 14
2015 17
2016 6
2017 13
2018 8
2019 3
2020 4
2021 4
2022 3
2023 25
2024 4
2025 3
Total 320
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 282–291 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320 287
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 52–53 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518 53
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Pierre Moulin Google Scholar page

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Related Online Degrees & Career Pathways

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Best Scientists Citing Pierre Moulin

Jiwen Lu

Jiwen Lu

Tsinghua University

Publications: 44

Vincent Y. F. Tan

Vincent Y. F. Tan

National University of Singapore

Publications: 40

Thierry Pun

Thierry Pun

University of Geneva

Publications: 38

Neri Merhav

Neri Merhav

Technion – Israel Institute of Technology

Publications: 36

Wilfried Philips

Wilfried Philips

Ghent University

Publications: 28

P.P. Vaidyanathan

P.P. Vaidyanathan

California Institute of Technology

Publications: 28

Jessica Fridrich

Jessica Fridrich

Binghamton University

Publications: 28

Ramarathnam Venkatesan

Ramarathnam Venkatesan

Microsoft (United States)

Publications: 27

Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

Publications: 26

Xilin Chen

Xilin Chen

University of Chinese Academy of Sciences

Publications: 26

Eero P. Simoncelli

Eero P. Simoncelli

New York University

Publications: 25

Zhenjun Tang

Zhenjun Tang

Guangxi Normal University

Publications: 24

Ling Shao

Ling Shao

Terminus International

Publications: 24

Hossein Rabbani

Hossein Rabbani

Isfahan University of Medical Sciences

Publications: 23

Jie Zhou

Jie Zhou

Tsinghua University

Publications: 23

Ruiping Wang

Ruiping Wang

Chinese Academy of Sciences

Publications: 22

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