World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
65
Citations
31268
World Ranking
2389
National Ranking
56

Bjoern H. Menze 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 Bjoern H. Menze sits on this spectrum.

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 publications 991+

This scientist: 428 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Bjoern H. Menze 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 Bjoern H. Menze sits on this spectrum.

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 D-Index 131+

This scientist: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Bjoern H. Menze is affiliated with the University of Zurich in Switzerland. Their research focuses primarily on the intersection of medicine and computer science, with notable contributions across several specialized subfields.

The main fields of study encompassed in Menze's work include:

  • Medicine
  • Computer Science

Within these broad areas, their subfields of study are:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Artificial Intelligence
  • Neurology

Menze's research topics cover a range of applications and developments in medical imaging and analysis, including:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging and Analysis
  • Medical Imaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • AI in cancer detection
  • Medical Image Segmentation Techniques
  • Advanced Neural Network Applications

They have authored several recent papers, including:

  • The Medical Segmentation Decathlon, 2022, Nature Communications
  • associated_data_Investigating the Effectiveness of clDice Loss for Road Crack Segmentation, 2025, arXiv (Cornell University)
  • Machine learning analysis of whole mouse brain vasculature, 2020, Nature Methods
  • 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

Frequent coauthors with whom Menze has collaborated extensively include:

  • Benedikt Wiestler
  • Ivan Ezhov
  • Jan S. Kirschke
  • Hongwei Li
  • Suprosanna Shit

The primary venues for their publications are:

  • arXiv (Cornell University)
  • Zurich Open Repository and Archive (University of Zurich)
  • Medical Image Analysis
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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

  • The Multimodal Brain TumorImage Segmentation Benchmark (BRATS)

    Bjoern Menze;Mauricio Reyes;Koen Van Leemput;Nicole Porz

  • 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

  • A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

    Bjoern H Menze;B Michael Kelm;Ralf Masuch;Uwe Himmelreich

  • 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

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

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

  • Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

    Patrick Ferdinand Christ;Mohamed Ezzeldin A. Elshaer;Florian Ettlinger;Sunil Tatavarty

  • 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

  • Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

    Víctor M. Campello;Polyxeni Gkontra;Cristian Izquierdo;Carlos Martín-Isla

  • Federated learning enables big data for rare cancer boundary detection

    Unknown

  • clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation

    Suprosanna Shit;Johannes C. Paetzold;Anjany Sekuboyina;Ivan Ezhov

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • Machine learning analysis of whole mouse brain vasculature.

    Mihail Ivilinov Todorov;Johannes Christian Paetzold;Oliver Schoppe;Giles Tetteh

  • VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

    Anjany Sekuboyina;Malek E. Husseini;Amirhossein Bayat;Maximilian Löffler

  • Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images.

    Ezequiel Geremia;Olivier Clatz;Bjoern H. Menze;Ender Konukoglu

  • A generative model for brain tumor segmentation in multi- modal images

    Bjoern H. Menze;Koen Van Leemput;Danial Lashkari;Marc-André Weber

  • On oblique random forests

    Bjoern H. Menze;B. Michael Kelm;Daniel N. Splitthoff;Ullrich Koethe

  • Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks.

    Patrick Ferdinand Christ;Florian Ettlinger;Felix Grün;Mohamed Ezzeldin A. Elshaera

  • Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images.

    Hongwei Li;Gongfa Jiang;Jianguo Zhang;Ruixuan Wang

  • Robust prediction of the MASCOT score for an improved quality assessment in mass spectrometric proteomics

    Thomas Koenig;Bjoern H. Menze;Marc Kirchner;Flavio Monigatti

  • A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

    Bjoern Holger Menze;Bernd Michael Kelm;Ralf Masuch;Uwe Himmerlreich

Frequent Co-Authors

Georg Langs
Georg Langs Medical University of Vienna
Fred A. Hamprecht
Fred A. Hamprecht Heidelberg University
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Koen Van Leemput
Koen Van Leemput Harvard University
Jianguo Zhang
Jianguo Zhang Southern University of Science and Technology
Mauricio Reyes
Mauricio Reyes University of Bern
Tal Arbel
Tal Arbel McGill University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up a world of interdisciplinary opportunities. Many students choose to complement their tech expertise with related fields that also offer strong career prospects.

For those interested in protecting digital assets, an online cybersecurity degree can provide essential skills in network protection and threat response. Likewise, technical skills can be applied in project-driven industries—an online construction management degree offers knowledge in overseeing large-scale projects and innovation in building processes.

If you're passionate about law and public protection, understanding criminal justice degree cost can help you plan for a future in forensics, cybersecurity law, or public service. Alternatively, foundational tech skills gained in Computer Science are highly valued in business. You can explore accounting classes online to pave the way for data-driven finance careers.

Each of these pathways offers affordable and flexible online options, equipping you for diverse roles across the modern digital economy.

Best Scientists Citing Bjoern H. Menze

Trending Scientists

Recently Published Articles