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Ben Glocker

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 75 1372 1329 80 79 295 40761

Ben Glocker publications per year

The chart shows the history of publications by Ben Glocker between 2007 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ben Glocker published across 20 years, from 2007 to 2026, averaging 23.2 papers a year. Output peaked at 54 publications in 2022. 42 of the 463 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2007 to 2026. Vertical axis: number of publications, 0 to 54. Peak 54 publications in 2022. 2007: 4 publications 2008: 8 publications 2009: 10 publications 2010: 6 publications 2011: 4 publications 2012: 6 publications 2013: 12 publications 2014: 11 publications 2015: 15 publications 2016: 19 publications 2017: 34 publications 2018: 36 publications 2019: 34 publications 2020: 29 publications 2021: 43 publications 2022: 54 publications 2023: 53 publications 2024: 43 publications 2025: 40 publications 2026: 2 publications
2007 2026

463 publications in total across all disciplines

View publications per year as a table
Ben Glocker: publications per year, 2007 to 2026
Year Publications
2007 4
2008 8
2009 10
2010 6
2011 4
2012 6
2013 12
2014 11
2015 15
2016 19
2017 34
2018 36
2019 34
2020 29
2021 43
2022 54
2023 53
2024 43
2025 40
2026 2
Total 463
Download as CSV

Ben Glocker 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 Ben Glocker 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, 292–301 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: 295 publications — 73rd percentile

73% 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
292–301 293 295
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

Ben Glocker 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 Ben Glocker 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, 74–75 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: 75 D-Index — 90th percentile

90% 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
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 75
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

Ben Glocker is affiliated with Imperial College London in the United Kingdom. Their research spans the fields of Medicine and Computer Science, with a particular focus on subfields such as Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology, and Epidemiology.

The main topics of Glocker's research work include:

  • Radiomics and Machine Learning in Medical Imaging
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Artificial Intelligence in Healthcare and Education
  • AI in cancer detection
  • Traumatic Brain Injury Research
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques

Recent papers authored or co-authored by Glocker cover various aspects of clinical prediction models and AI-driven systems in medical contexts. Notable publications include:

  • "TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods," 2024, BMJ
  • "Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI," 2022, Nature Medicine
  • "VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images," 2021, Medical Image Analysis
  • "Metrics reloaded: recommendations for image analysis validation," 2024, Nature Methods
  • "Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study," 2021, npj Digital Medicine

Glocker frequently collaborates with co-authors including Ari Ercole, Giuseppe Citerio, Endre Czeiter, Bart Depreitere, and Marta Correia, each representing multiple joint publications.

Their work appears regularly in venues such as:

  • arXiv (Cornell University)
  • Journal of Neurotrauma
  • Medical Image Analysis
  • Nature Medicine
  • Lecture notes in computer science

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer

  • Attention U-Net: Learning Where to Look for the Pancreas

    Ozan Oktay;Jo Schlemper;Loïc Le Folgoc;Matthew C. H. Lee

  • Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

    Konstantinos Kamnitsas;Christian Ledig;Virginia F.J. Newcombe;Joanna P. Simpson

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Attention gated networks: Learning to leverage salient regions in medical images.

    Jo Schlemper;Ozan Oktay;Michiel Schaap;Mattias P. Heinrich

  • Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images

    Jamie Shotton;Ben Glocker;Christopher Zach;Shahram Izadi

  • ElasticFusion: Dense SLAM Without A Pose Graph

    Thomas Whelan;Stefan Leutenegger;Renato F. Salas-Moreno;Ben Glocker

  • Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

    Ozan Oktay;Enzo Ferrante;Konstantinos Kamnitsas;Mattias Heinrich

  • Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

    Wenjia Bai;Matthew Sinclair;Giacomo Tarroni;Ozan Oktay

  • ElasticFusion: Real-time dense SLAM and light source estimation

    Thomas Whelan;Renato F Salas-Moreno;Ben Glocker;Andrew J Davison

  • Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.

    Sarah Parisot;Sofia Ira Ktena;Enzo Ferrante;Matthew C. H. Lee

  • Dense image registration through MRFs and efficient linear programming.

    Ben Glocker;Nikos Komodakis;Nikos Komodakis;Georgios Tziritas;Nassir Navab

  • Causality matters in medical imaging.

    Daniel Coelho de Castro;Ian Walker;Ben Glocker

  • ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

    Oskar Maier;Bjoern H. Menze;Janina von der Gablentz;Levin Häni

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

    Konstantinos Kamnitsas;Konstantinos Kamnitsas;Christian F. Baumgartner;Christian Ledig;Virginia F. J. Newcombe

  • Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

    Konstantinos Kamnitsas;Wenjia Bai;Enzo Ferrante;Steven G. McDonagh

  • Domain Generalization via Model-Agnostic Learning of Semantic Features

    Qi Dou;Daniel Coelho de Castro;Konstantinos Kamnitsas;Ben Glocker

  • Semi-supervised learning for network-based cardiac MR image segmentation

    Wenjia Bai;Ozan Oktay;Matthew Sinclair;Hideaki Suzuki

  • Federated learning enables big data for rare cancer boundary detection

    Unknown

  • DeepMedic for Brain Tumor Segmentation

    Konstantinos Kamnitsas;Konstantinos Kamnitsas;Enzo Ferrante;Sarah Parisot;Christian Ledig

  • Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation

    Ozan Oktay;Enzo Ferrante;Konstantinos Kamnitsas;Mattias Heinrich

Frequent Co-Authors

Daniel Rueckert
Daniel Rueckert Technical University of Munich
Konstantinos Kamnitsas
Konstantinos Kamnitsas University of Oxford
Antonio Criminisi
Antonio Criminisi Microsoft (United States)
Bernhard Kainz
Bernhard Kainz Imperial College London
Ender Konukoglu
Ender Konukoglu ETH Zurich
Nikos Paragios
Nikos Paragios CentraleSupélec
Nassir Navab
Nassir Navab Technical University of Munich
Wenjia Bai
Wenjia Bai Imperial College London
Ozan Oktay
Ozan Oktay Imperial College London
Nikos Komodakis
Nikos Komodakis University of Crete

External Links

Personal website of Ben Glocker Google Scholar page

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Best Scientists Citing Ben Glocker

Nassir Navab

Nassir Navab

Technical University of Munich

Publications: 129

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 109

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 108

Nikos Paragios

Nikos Paragios

CentraleSupélec

Publications: 76

Pheng-Ann Heng

Pheng-Ann Heng

Chinese University of Hong Kong

Publications: 58

Sebastien Ourselin

Sebastien Ourselin

King's College London

Publications: 56

Bjoern H. Menze

Bjoern H. Menze

University of Zurich

Publications: 54

Julia A. Schnabel

Julia A. Schnabel

King's College London

Publications: 53

Ayman El-Baz

Ayman El-Baz

University of Louisville

Publications: 39

Tom Vercauteren

Tom Vercauteren

King's College London

Publications: 37

Wenjia Bai

Wenjia Bai

Imperial College London

Publications: 37

Klaus H. Maier-Hein

Klaus H. Maier-Hein

German Cancer Research Center

Publications: 36

Mattias P. Heinrich

Mattias P. Heinrich

University of Lübeck

Publications: 35

Christos Davatzikos

Christos Davatzikos

University of Pennsylvania

Publications: 35

Marc Pollefeys

Marc Pollefeys

ETH Zurich

Publications: 33

Hao Chen

Hao Chen

Chinese University of Hong Kong

Publications: 33

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