World's Best Scientists 2026 revealed!
Ender Konukoglu

Ender Konukoglu

D-Index & Metrics

Computer Science

D-Index
54
Citations
18456
World Ranking
4453
National Ranking
97

Ender Konukoglu 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 Ender Konukoglu 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Ender Konukoglu 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 Ender Konukoglu 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Ender Konukoglu is affiliated with ETH Zurich in Switzerland and has extensively contributed to the fields of computer science and medicine. Their research primarily focuses on computer vision, pattern recognition, radiology, nuclear medicine and imaging, artificial intelligence, biomedical engineering, and surgery.

Their main areas of study include radiomics and machine learning in medical imaging, advanced neural network applications, medical image segmentation techniques, domain adaptation and few-shot learning, medical imaging techniques and applications, medical imaging and analysis, and 3D shape modeling and analysis.

Konukoglu has authored several recent papers across notable venues. These include:

  • Exploring Cross-Image Pixel Contrast for Semantic Segmentation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Rethinking Semantic Segmentation: A Prototype View, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Contrastive learning of global and local features for medical image segmentation with limited annotations, 2020, arXiv (Cornell University)
  • Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation, 2023, Medical Image Analysis
  • Test-time adaptable neural networks for robust medical image segmentation, 2020, Medical Image Analysis

Frequent publication venues include:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • Osteoarthritis and Cartilage
  • Lecture notes in computer science
  • Nature Communications

Frequent co-authors collaborating with Konukoglu are Ertunç Erdil, Luc Van Gool, Gustav Bredell, Neerav Karani, and Christian F. Baumgartner.

Konukoglu has also contributed to book publications, including the volume titled Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, published in 2021 by Springer Science+Business Media.

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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

  • Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold, Learning and Semi-supervised Learning

    Antonio Criminisi;Jamie Shotton;Ender Konukoglu

  • Exploring Cross-Image Pixel Contrast for Semantic Segmentation

    Wenguan Wang;Tianfei Zhou;Fisher Yu;Jifeng Dai

  • Rethinking Semantic Segmentation: A Prototype View

    Unknown

  • Shape-based hand recognition

    E. Yoruk;E. Konukoglu;B. Sankur;J. Darbon

  • Regression forests for efficient anatomy detection and localization in CT studies

    Antonio Criminisi;Jamie Shotton;Duncan Robertson;Ender Konukoglu

  • Decision Forests for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning

    Antonio Criminisi;Ender Konukoglu;Jamie Shotton

  • Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR.

    Darko Zikic;Ben Glocker;Ender Konukoglu;Antonio Criminisi

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

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

  • Regression forests for efficient anatomy detection and localization in computed tomography scans

    Antonio Criminisi;Duncan P. Robertson;Ender Konukoglu;Jamie Shotton

  • An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation

    Christian F. Baumgartner;Lisa M. Koch;Marc Pollefeys;Ender Konukoglu

  • Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations

    E. Konukoglu;O. Clatz;B.H. Menze;B. Stieltjes

  • Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans

    Ben Glocker;Johannes Feulner;Antonio Criminisi;David R. Haynor

  • Unsupervised Detection of Lesions in Brain MRI using Constrained Adversarial Auto-encoders

    Xiaoran Chen;Ender Konukoglu

  • Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation

    Unknown

  • Vertebrae localization in pathological spine CT via dense classification from sparse annotations.

    Ben Glocker;Darko Zikic;Ender Konukoglu;David R. Haynor

  • Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study

    Mert R. Sabuncu;Mert R. Sabuncu;Ender Konukoglu

  • PHiSeg: Capturing Uncertainty in Medical Image Segmentation

    Christian F. Baumgartner;Kerem Can Tezcan;Krishna Chaitanya;Andreas M. Hötker

  • Test-time adaptable neural networks for robust medical image segmentation

    Neerav Karani;Ertunc Erdil;Krishna Chaitanya;Ender Konukoglu

  • Glioma Dynamics and Computational Models: A Review of Segmentation, Registration, and In Silico Growth Algorithms and their Clinical Applications

    Elsa D. Angelini;Olivier Clatz;Emmanuel Mandonnet;Ender Konukoglu

  • Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?

    Juan Eugenio Iglesias;Ender Konukoglu;Darko Zikic;Ben Glocker

  • Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins

    Ender Konukoglu;Olivier Clatz;Pierre-Yves Bondiau;Hervé Delingette

Frequent Co-Authors

Ben Glocker
Ben Glocker Imperial College London
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Antonio Criminisi
Antonio Criminisi Microsoft (United States)
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA
Felix Eckstein
Felix Eckstein Paracelsus Medical University
Bruce Fischl
Bruce Fischl Harvard University
Jamie Shotton
Jamie Shotton Microsoft (United States)
Marc Pollefeys
Marc Pollefeys ETH Zurich
Metin Sitti
Metin Sitti Max Planck Institute for Intelligent Systems

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