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Bram van Ginneken

Bram van Ginneken

Radboud University
Netherlands

Award Badge
Computer Science
Netherlands
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 108 253 246 2 2 403 70671
Medicine 116 4268 3999 163 159 475 73622

Bram van Ginneken publications per year

The chart shows the history of publications by Bram van Ginneken between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Bram van Ginneken published across 30 years, from 1996 to 2025, averaging 20.4 papers a year. Output peaked at 52 publications in 2023. 58 of the 613 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 52. Peak 52 publications in 2023. 1996: 2 publications 1997: 2 publications 1998: 1 publication 1999: 2 publications 2000: 3 publications 2001: 2 publications 2002: 7 publications 2003: 10 publications 2004: 11 publications 2005: 5 publications 2006: 16 publications 2007: 11 publications 2008: 12 publications 2009: 26 publications 2010: 26 publications 2011: 20 publications 2012: 28 publications 2013: 25 publications 2014: 23 publications 2015: 31 publications 2016: 27 publications 2017: 43 publications 2018: 38 publications 2019: 38 publications 2020: 31 publications 2021: 39 publications 2022: 24 publications 2023: 52 publications 2024: 31 publications 2025: 27 publications
1996 2025

613 publications in total across all disciplines

View publications per year as a table
Bram van Ginneken: publications per year, 1996 to 2025
Year Publications
1996 2
1997 2
1998 1
1999 2
2000 3
2001 2
2002 7
2003 10
2004 11
2005 5
2006 16
2007 11
2008 12
2009 26
2010 26
2011 20
2012 28
2013 25
2014 23
2015 31
2016 27
2017 43
2018 38
2019 38
2020 31
2021 39
2022 24
2023 52
2024 31
2025 27
Total 613
Download as CSV

Bram van Ginneken 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 Bram van Ginneken 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, 402–411 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: 403 publications — 87th percentile

87% 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
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
402–411 104 403
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

Bram van Ginneken 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 Bram van Ginneken 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, 108–109 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: 108 D-Index — 98th percentile

98% 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
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 31 108
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

  • 2026 - Research.com Computer Science in Netherlands Leader Award
  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2023 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Bram van Ginneken is affiliated with Radboud University in the Netherlands. Their research primarily focuses on the field of Medicine with a notable concentration in Radiology, Nuclear Medicine and Imaging. Additional subfields of study include Pulmonary and Respiratory Medicine, Artificial Intelligence, Biomedical Engineering, and Health Informatics.

The scientist's work extensively covers topics related to Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI, and Lung Cancer Diagnosis and Treatment. Other main topics include Artificial Intelligence in Healthcare and Education, AI in cancer detection, Medical Imaging and Analysis, and Chronic Obstructive Pulmonary Disease (COPD) Research.

Notable recent publications include:

  • The Medical Segmentation Decathlon (2022), published in Nature Communications
  • CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation (2020), published in Radiology
  • Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study (2020), published in The Lancet Oncology
  • Deep learning for chest X-ray analysis: A survey (2021), published in Medical Image Analysis
  • Artificial intelligence in radiology: 100 commercially available products and their scientific evidence (2021), published in European Radiology

Bram van Ginneken frequently collaborates with several researchers, including:

  • Keelin Murphy
  • Colin Jacobs
  • Mathias Prokop
  • Matthieu Rutten
  • Alessa Hering

Publication venues where Bram van Ginneken has consistently contributed include Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), Medical Image Analysis, European Radiology, and Radiology.

Best Publications

  • A survey on deep learning in medical image analysis

    Geert J. S. Litjens;Thijs Kooi;Babak Ehteshami Bejnordi;Arnaud Arindra Adiyoso Setio

  • Ridge-based vessel segmentation in color images of the retina

    J. Staal;M.D. Abramoff;M. Niemeijer;M.A. Viergever

  • Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.

    Babak Ehteshami Bejnordi;Mitko Veta;Paul Johannes van Diest;Bram van Ginneken

  • Reflectance and texture of real-world surfaces

    Kristin J. Dana;Bram van Ginneken;Shree K. Nayar;Jan J. Koenderink

  • Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

    Hayit Greenspan;Bram van Ginneken;Ronald M. Summers

  • A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

    S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan

  • Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

    Arnaud Arindra Adiyoso Setio;Francesco Ciompi;Geert Litjens;Paul Gerke

  • Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

    T. Heimann;B. van Ginneken;M.A. Styner;Y. Arzhaeva

  • Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.

    Arnaud Arindra Adiyoso Setio;Alberto Traverso;Thomas de Bel;Moira S.N. Berens

  • Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

    Geert Litjens;Clara I. Sánchez;Nadya Timofeeva;Meyke Hermsen

  • The Liver Tumor Segmentation Benchmark (LiTS)

    Patrick Bilic;Patrick Ferdinand Christ;Eugene Vorontsov;Grzegorz Chlebus

  • The Medical Segmentation Decathlon

    Michela Antonelli;Annika Reinke;Spyridon Bakas;Keyvan Farahani

  • Comparative study of retinal vessel segmentation methods on a new publicly available database

    Meindert Niemeijer;Meindert Niemeijer;Joes Staal;Bram van Ginneken;Marco Loog

  • Large scale deep learning for computer aided detection of mammographic lesions

    Thijs Kooi;Geert J. S. Litjens;Bram van Ginneken;Albert Gubern-Mérida

  • CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation.

    Mathias Prokop;Wouter van Everdingen;Tjalco van Rees Vellinga;Henriëtte Quarles van Ufford

  • A large annotated medical image dataset for the development and evaluation of segmentation algorithms

    Amber L. Simpson;Michela Antonelli;Spyridon Bakas;Michel Bilello

  • Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.

    Geert J. S. Litjens;Robert Toth;Wendy J. M. van de Ven;Caroline Hoeks

  • Computer analysis of computed tomography scans of the lung: a survey

    I. Sluimer;A. Schilham;M. Prokop;B. van Ginneken

  • Active shape model segmentation with optimal features

    B. van Ginneken;A.F. Frangi;J.J. Staal;B.M. ter Haar Romeny

  • Computer-aided diagnosis in chest radiography: a survey

    B. Van Ginneken;B.M. Ter Haar Romeny;M.A. Viergever

  • Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database.

    Bram van Ginneken;Mikkel Bille Stegmann;Marco Loog

Frequent Co-Authors

Mathias Prokop
Mathias Prokop Radboud University
Clara I. Sánchez
Clara I. Sánchez University of Amsterdam
Max A. Viergever
Max A. Viergever Utrecht University
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
Matthijs Oudkerk
Matthijs Oudkerk University of Groningen
Harry J. de Koning
Harry J. de Koning Erasmus University Rotterdam
Ivana Išgum
Ivana Išgum University of Amsterdam
Willem P.Th.M. Mali
Willem P.Th.M. Mali Utrecht University
Carel B. Hoyng
Carel B. Hoyng Radboud University

External Links

Personal website of Bram van Ginneken Google Scholar page

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Best Scientists Citing Bram van Ginneken

Michael D. Abràmoff

Michael D. Abràmoff

University of Iowa

Publications: 86

Ivana Išgum

Ivana Išgum

University of Amsterdam

Publications: 75

Ronald M. Summers

Ronald M. Summers

National Institutes of Health

Publications: 60

Max A. Viergever

Max A. Viergever

Utrecht University

Publications: 58

Eric A. Hoffman

Eric A. Hoffman

University of Iowa

Publications: 56

Mathias Prokop

Mathias Prokop

Radboud University

Publications: 54

Marleen de Bruijne

Marleen de Bruijne

Erasmus University Rotterdam

Publications: 54

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 51

Aurélio Campilho

Aurélio Campilho

University of Porto

Publications: 44

Le Lu

Le Lu

Alibaba Group (China)

Publications: 42

Nasir M. Rajpoot

Nasir M. Rajpoot

University of Warwick

Publications: 41

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 40

Wiro J. Niessen

Wiro J. Niessen

University Medical Center Groningen

Publications: 40

U. Rajendra Acharya

U. Rajendra Acharya

University of Southern Queensland

Publications: 38

Josien P. W. Pluim

Josien P. W. Pluim

Eindhoven University of Technology

Publications: 38

Henning Müller

Henning Müller

University of Applied Sciences and Arts Western Switzerland

Publications: 37

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