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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 34 12085 11735 304 294 290 5619

Hugues Talbot publications per year

The chart shows the history of publications by Hugues Talbot between 1981 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hugues Talbot published across 45 years, from 1981 to 2025, averaging 9.8 papers a year. Output peaked at 61 publications in 2023. 37 of the 440 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1981 to 2025. Vertical axis: number of publications, 0 to 61. Peak 61 publications in 2023. 1981: 1 publication 1982: 1 publication 1983: 0 publications 1984: 0 publications 1985: 3 publications 1986: 2 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 1 publication 1991: 0 publications 1992: 3 publications 1993: 3 publications 1994: 2 publications 1995: 1 publication 1996: 4 publications 1997: 1 publication 1998: 2 publications 1999: 1 publication 2000: 4 publications 2001: 1 publication 2002: 6 publications 2003: 4 publications 2004: 2 publications 2005: 9 publications 2006: 8 publications 2007: 8 publications 2008: 10 publications 2009: 18 publications 2010: 12 publications 2011: 26 publications 2012: 12 publications 2013: 32 publications 2014: 27 publications 2015: 26 publications 2016: 14 publications 2017: 15 publications 2018: 12 publications 2019: 15 publications 2020: 18 publications 2021: 20 publications 2022: 18 publications 2023: 61 publications 2024: 19 publications 2025: 18 publications
1981 2025

440 publications in total across all disciplines

View publications per year as a table
Hugues Talbot: publications per year, 1981 to 2025
Year Publications
1981 1
1982 1
1983 0
1984 0
1985 3
1986 2
1987 0
1988 0
1989 0
1990 1
1991 0
1992 3
1993 3
1994 2
1995 1
1996 4
1997 1
1998 2
1999 1
2000 4
2001 1
2002 6
2003 4
2004 2
2005 9
2006 8
2007 8
2008 10
2009 18
2010 12
2011 26
2012 12
2013 32
2014 27
2015 26
2016 14
2017 15
2018 12
2019 15
2020 18
2021 20
2022 18
2023 61
2024 19
2025 18
Total 440
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Hugues Talbot 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 Hugues Talbot 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: 290 publications — 72nd percentile

72% 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
282–291 320 290
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
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Hugues Talbot 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 Hugues Talbot 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, 34–35 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: 34 D-Index — 16th percentile

16% 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 34
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
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
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Overview

Hugues Talbot is affiliated with the University of Paris-Saclay in France. Their research spans the intersecting domains of Medicine and Computer Science, with a particular focus on applications in medical imaging and oncology. Across these broad fields, Talbot's work addresses specialized areas such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Oncology, Artificial Intelligence, and Biomedical Engineering.

The scientist's primary research topics include Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, Cell Image Analysis Techniques, Cancer Immunotherapy and Biomarkers, Advanced X-ray and CT Imaging, Body Composition Measurement Techniques, and AI applications in cancer detection.

Talbot's publication record features numerous papers in both high-impact and specialized venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Diagnostic and Interventional Imaging
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • Journal of Mathematical Imaging and Vision
  • Annals of Oncology

Among notable papers authored or co-authored by Talbot are:

  • Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial (2023), published in Nature Medicine
  • Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients (2021), published in Nature Communications
  • Clarification of Definitions of Hyperprogressive Disease During Immunotherapy for Non-Small Cell Lung Cancer (2020), published in JAMA Oncology
  • Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study (2021), published in Frontiers in Oncology
  • Myocardial Perfusion Simulation for Coronary Artery Disease: A Coupled Patient-Specific Multiscale Model (2020), published in Annals of Biomedical Engineering

Talbot has collaborated frequently with several researchers, including Nathalie Lassau, Younes Belkouchi, Samy Ammari, Littisha Lawrance, and Théodore Aouad. These collaborations have contributed to advancements in both clinical and computational aspects of medical imaging and disease diagnosis.

In addition to journal articles, Talbot has contributed to academic books, notably publishing with Springer Science+Business Media. One such work is "Reproducible Research in Pattern Recognition" (2021).

Best Publications

  • SOFA: A Multi-Model Framework for Interactive Physical Simulation

    François Faure;Christian Duriez;Hervé Delingette;Jérémie Allard

  • Power Watershed: A Unifying Graph-Based Optimization Framework

    C Couprie;L Grady;L Najman;H Talbot

  • Mathematical Morphology: from theory to applications

    Laurent Najman;Hugues Talbot

  • Directional morphological filtering

    P. Soille;H. Talbot

  • Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images

    S. Valero;J. Chanussot;J. A. Benediktsson;H. Talbot

  • The performance of SolarScan: an automated dermoscopy image analysis instrument for the diagnosis of primary melanoma.

    Scott W. Menzies;Leanne Bischof;Hugues Talbot;Alex Gutenev

  • Globally minimal surfaces by continuous maximal flows

    B. Appleton;H. Talbot

  • Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest

    Camille Couprie;Leo Grady;Laurent Najman;Hugues Talbot

  • Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.

    Nathalie Lassau;Samy Ammari;Emilie Chouzenoux;Hugo Gortais

  • Globally Optimal Geodesic Active Contours

    Ben Appleton;Hugues Talbot

  • Fast computation of morphological operations with arbitrary structuring elements

    Marc Van Droogenbroeck;Marc Van Droogenbroeck;Hugues Talbot

  • A Majorize-Minimize Subspace Approach for $ll_2-ll_0$ Image Regularization

    Emilie Chouzenoux;Anna Jezierska;Jean-Christophe Pesquet;Hugues Talbot

  • The phase only transform for unsupervised surface defect detection

    Dror Aiger;Hugues Talbot

  • Unseeded region growing for 3D image segmentation

    Zheng Lin;Jesse Jin;Hugues Talbot

  • System and method for examining, recording and analysing dermatological conditions

    Victor Skladnev;Alex Gutenev;Scott Menzies;Richard Thompson

  • Path Openings and Closings

    Henk Heijmans;Michael Buckley;Hugues Talbot

  • Complete ordering and multivariate mathematical morphology

    H. Talbot;C. Evans;R. Jones

  • A Convex Approach for Image Restoration with Exact Poisson--Gaussian Likelihood

    Emilie Chouzenoux;Anna Jezierska;Jean-Christophe Pesquet;Hugues Talbot

  • Efficient complete and incomplete path openings and closings

    Hugues Talbot;Ben Appleton

  • Euclidean skeletons and conditional bisectors

    Hugues Talbot;Luc M. Vincent

  • A Majorize-Minimize subspace approach for l2-l0 image regularization

    Emilie Chouzenoux;Anna Jezierska;Jean-Christophe Pesquet;Hugues Talbot

  • Curvilinear Structure Analysis by Ranking the Orientation Responses of Path Operators

    Odyssee Merveille;Hugues Talbot;Laurent Najman;Nicolas Passat

  • Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology.

    Alice Dufour;Olena Tankyevych;Benoît Naegel;Hugues Talbot

  • Dual constrained TV-based regularization on graphs

    Camille Couprie;Leo J. Grady;Laurent Najman;Jean-Christophe Pesquet

Frequent Co-Authors

Laurent Najman
Laurent Najman École Supérieure d'Ingénieurs en Électrotechnique et Électronique
Jean-Christophe Pesquet
Jean-Christophe Pesquet CentraleSupélec
Michael Buckley
Michael Buckley University of Manchester
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
William H. McCarthy
William H. McCarthy University of Sydney
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Yi Zhang
Yi Zhang Nanyang Technological University
Gilbert Engler
Gilbert Engler INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Ai Qun Liu
Ai Qun Liu Hong Kong Polytechnic University

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