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Pierrick Coupé

Pierrick Coupé

University of Bordeaux
France

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Computer Science
France
2023

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 51 5250 5103 105 104 181 13768

Pierrick Coupé publications per year

The chart shows the history of publications by Pierrick Coupé between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Pierrick Coupé published across 22 years, from 2004 to 2025, averaging 12.5 papers a year. Output peaked at 23 publications in 2022. 22 of the 275 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2022. 2004: 2 publications 2005: 4 publications 2006: 2 publications 2007: 8 publications 2008: 10 publications 2009: 6 publications 2010: 11 publications 2011: 20 publications 2012: 17 publications 2013: 10 publications 2014: 11 publications 2015: 15 publications 2016: 16 publications 2017: 22 publications 2018: 14 publications 2019: 13 publications 2020: 19 publications 2021: 13 publications 2022: 23 publications 2023: 17 publications 2024: 11 publications 2025: 11 publications
2004 2025

275 publications in total across all disciplines

View publications per year as a table
Pierrick Coupé: publications per year, 2004 to 2025
Year Publications
2004 2
2005 4
2006 2
2007 8
2008 10
2009 6
2010 11
2011 20
2012 17
2013 10
2014 11
2015 15
2016 16
2017 22
2018 14
2019 13
2020 19
2021 13
2022 23
2023 17
2024 11
2025 11
Total 275
Download as CSV

Pierrick Coupé 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 Pierrick Coupé 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, 172–181 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: 181 publications — 39th percentile

39% 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
172–181 556 181
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
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

Pierrick Coupé 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 Pierrick Coupé 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, 50–51 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: 51 D-Index — 63rd percentile

63% 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 51
52–53 518
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

Research.com Recognitions

  • 2023 - Research.com Computer Science in France Leader Award

Overview

Pierrick Coupé is affiliated with the University of Bordeaux in France and specializes in research spanning medicine and neuroscience. Their work focuses significantly on advanced neuroimaging techniques and applications, dementia and cognitive impairment research, as well as medical image segmentation techniques. Additional areas of study include functional brain connectivity, brain tumor detection and classification, and Alzheimer's disease research and treatments.

The scientist's most frequent publication venues include arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Human Brain Mapping, Brain Communications, and Scientific Reports. This publication record reflects a strong engagement with both preprint repositories and peer-reviewed journals within the fields of neuroimaging and brain research.

Key recent papers authored or coauthored by Pierrick Coupé include:

  • Structural progression of Alzheimer's disease over decades: the MRI staging scheme, 2022, Brain Communications
  • DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation, 2020, arXiv (Cornell University)
  • vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis, 2022, Frontiers in Neuroinformatics
  • Toward a unified analysis of cerebellum maturation and aging across the entire lifespan: A MRI analysis, 2021, Human Brain Mapping
  • Differential annualized rates of hippocampal subfields atrophy in aging and future Alzheimer's clinical syndrome, 2020, Neurobiology of Aging

Collaboration appears to be a significant aspect of Coupé's scholarly activity, with frequent coauthors including José V. Manjón, Boris Mansencal, Thomas Tourdias, Vincent Planche, and Gwénaëlle Catheline. These collaborations highlight an interdisciplinary approach within imaging analysis and neurological disorders research.

Pierrick Coupé's main fields of study are Medicine and Neuroscience, with detailed work in various subfields such as Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition, Psychiatry and Mental Health, and Cognitive Neuroscience. The combination of these fields supports a comprehensive approach to brain imaging and neurological disease investigations.

Main topics of their research work include:

  • Advanced Neuroimaging Techniques and Applications
  • Dementia and Cognitive Impairment Research
  • Medical Image Segmentation Techniques
  • Functional Brain Connectivity Studies
  • Brain Tumor Detection and Classification
  • Advanced MRI Techniques and Applications
  • Alzheimer's disease research and treatments

Best Publications

  • An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images

    P. Coupe;P. Yger;S. Prima;P. Hellier

  • Adaptive non‐local means denoising of MR images with spatially varying noise levels

    José V. Manjón;Pierrick Coupé;Luis Martí-Bonmatí;D. Louis Collins

  • Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation.

    Pierrick Coupé;José V. Manjón;Vladimir S. Fonov;Jens C. Pruessner

  • Nonlocal Means-Based Speckle Filtering for Ultrasound Images

    P. Coupe;P. Hellier;C. Kervrann;C. Barillot

  • volBrain: An Online MRI Brain Volumetry System

    José V. Manjón;Pierrick Coupé

  • BEaST: brain extraction based on nonlocal segmentation technique.

    Simon Fristed Eskildsen;Pierrick Coupé;Vladimir Fonov;José V. Manjón

  • Diffusion Weighted Image Denoising Using Overcomplete Local PCA

    José V. Manjón;Pierrick Coupé;Luis Concha;Antonio Buades

  • Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

    Esther E. Bron;Marion Smits;Wiesje M. van der Flier;Hugo Vrenken

  • New methods for MRI denoising based on sparseness and self-similarity.

    José V. Manjón;Pierrick Coupé;Antonio Buades;D. Louis Collins

  • Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI

    Nicolas Wiest-Daesslé;Sylvain Prima;Pierrick Coupé;Sean Patrick Morrissey

  • Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning.

    Simon F. Eskildsen;Pierrick Coupé;Daniel García-Lorenzo;Vladimir S. Fonov

  • Non-local MRI upsampling.

    José V. Manjón;Pierrick Coupé;Antonio Buades;Vladimir S. Fonov

  • Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal

    Charles Kervrann;Jérôme Boulanger;Pierrick Coupé

  • Robust Rician noise estimation for MR images.

    Pierrick Coupé;Pierrick Coupé;José V. Manjón;Elias Gedamu;Elias Gedamu;Douglas L. Arnold;Douglas L. Arnold

  • Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis.

    José E. Romero;Pierrick Coupe;Pierrick Coupe;Enrique Lanuza;Gwenaelle Catheline

  • Fast non local means denoising for 3d MR images

    Pierrick Coupé;Pierre Yger;Christian Barillot

  • Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling

    Tong Tong;Robin Wolz;Pierrick Coupé;Joseph V. Hajnal

  • A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in childhood.

    B. Aubert-Broche;V.S. Fonov;D. García-Lorenzo;D. García-Lorenzo;A. Mouiha

  • MRI noise estimation and denoising using non-local PCA

    José V. Manjón;Pierrick Coupé;Antonio Buades

  • CERES: A new cerebellum lobule segmentation method.

    José E. Romero;Pierrick Coupé;Pierrick Coupé;Rémi Giraud;Vinh-Thong Ta;Vinh-Thong Ta

  • An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images

    Pierrick Coupé;Pierre Yger;Sylvain Prima;Pierre Hellier

Frequent Co-Authors

José V. Manjón
José V. Manjón Universitat Politècnica de València
D. Louis Collins
D. Louis Collins McGill University
Vladimir S. Fonov
Vladimir S. Fonov McGill University
Montserrat Robles
Montserrat Robles Universitat Politècnica de València
Jens C. Pruessner
Jens C. Pruessner University of Konstanz
Christian Barillot
Christian Barillot Institut de Recherche en Informatique et Systèmes Aléatoires
Douglas L. Arnold
Douglas L. Arnold Montreal Neurological Institute and Hospital
Pierre Jannin
Pierre Jannin University of Rennes
Michèle Allard
Michèle Allard Centre national de la recherche scientifique, CNRS
Charles R.G. Guttmann
Charles R.G. Guttmann Brigham and Women's Hospital

External Links

Personal website of Pierrick Coupé Google Scholar page

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