World's Best Scientists 2026 revealed!
Olaf Ronneberger

Olaf Ronneberger

D-Index & Metrics

Computer Science

D-Index
45
Citations
158004
World Ranking
6961
National Ranking
336

Olaf Ronneberger 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 Olaf Ronneberger 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: 112 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Olaf Ronneberger 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 Olaf Ronneberger 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Olaf Ronneberger is affiliated with the University of Freiburg in Germany. Their research primarily focuses on Biochemistry, Genetics and Molecular Biology, with a particular emphasis on Molecular Biology, Materials Chemistry, Artificial Intelligence, Computer Vision and Pattern Recognition, and Biophysics.

The main topics Ronneberger has worked on include Protein Structure and Dynamics, Machine Learning in Bioinformatics, Enzyme Structure and Function, Advanced Neural Network Applications, Cell Image Analysis Techniques, Advanced Electron Microscopy Techniques and Applications, and Genetic and Kidney Cyst Diseases.

Ronneberger has contributed to several notable recent publications. Among these are:

  • Highly accurate protein structure prediction with AlphaFold, 2021, Nature
  • Accurate structure prediction of biomolecular interactions with AlphaFold 3, 2024, Nature
  • Protein complex prediction with AlphaFold-Multimer, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • Highly accurate protein structure prediction for the human proteome, 2021, Nature
  • The Medical Segmentation Decathlon, 2022, Nature Communications

Ronneberger's publications have appeared frequently in high-impact venues, including:

  • Nature
  • Nature Communications
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Dagstuhl Research Online Publication Server

The scientist has worked in collaboration with several frequent co-authors, such as:

  • Pushmeet Kohli
  • John Jumper
  • K Taki
  • Alexander Pritzel
  • Tim Green

Best Publications

  • U-Net: Convolutional Networks for Biomedical Image Segmentation

    Olaf Ronneberger;Philipp Fischer;Thomas Brox

  • Highly accurate protein structure prediction with AlphaFold

    John M. Jumper;Richard O. Evans;Alexander Pritzel;Tim Green

  • 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

    Özgün Çiçek;Ahmed Abdulkadir;Ahmed Abdulkadir;Soeren S. Lienkamp;Thomas Brox

  • Protein complex prediction with AlphaFold-Multimer

    Richard Evans;Michael O'Neill;Alexander Pritzel;Natasha Antropova

  • Highly accurate protein structure prediction for the human proteome

    Kathryn Tunyasuvunakool;Jonas Adler;Zachary Wu;Tim Green

  • Clinically applicable deep learning for diagnosis and referral in retinal disease

    Jeffrey De Fauw;Joseph R. Ledsam;Bernardino Romera-Paredes;Stanislav Nikolov

  • U-Net: deep learning for cell counting, detection, and morphometry

    Thorsten Falk;Dominic Mai;Robert Bensch;Özgün Çiçek

  • The Medical Segmentation Decathlon

    Michela Antonelli;Annika Reinke;Spyridon Bakas;Keyvan Farahani

  • Gland segmentation in colon histology images: The GlaS challenge contest

    Korsuk Sirinukunwattana;Josien P.W. Pluim;Hao Chen;Xiaojuan Qi

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

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

  • An objective comparison of cell-tracking algorithms

    Vladimír Ulman;Martin Maška;Klas E G Magnusson;Olaf Ronneberger

  • Applying and improving AlphaFold at CASP14

    John Jumper;Richard Evans;Alexander Pritzel;Tim Green

  • Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

    Esther E. Bron;Marion Smits;Wiesje M. van der Flier;Hugo Vrenken

  • A benchmark for comparison of dental radiography analysis algorithms

    Ching-Wei Wang;Cheng-Ta Huang;Jia-Hong Lee;Chung-Hsing Li

  • A Probabilistic U-Net for Segmentation of Ambiguous Images

    Simon A. A. Kohl;Bernardino Romera-Paredes;Clemens Meyer;Jeffrey De Fauw

  • Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy

    Stanislav Nikolov;Sam Blackwell;Ruheena Mendes;Jeffrey De Fauw

  • Micro-Raman spectroscopic identification of bacterial cells of the genus Staphylococcus and dependence on their cultivation conditions

    M. Harz;P. Rösch;K. Peschke;Olaf Ronneberger

  • Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

    Stanislav Nikolov;Sam Blackwell;Alexei Zverovitch;Ruheena Mendes

  • Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates

    Kun Liu;Henrik Skibbe;Thorsten Schmidt;Thomas Blein

  • XuvTools: free, fast and reliable stitching of large 3D datasets.

    M. Emmenlauer;Olaf Ronneberger;A. Ponti;P. Schwarb

  • Contrastive Training for Improved Out-of-Distribution Detection.

    Jim Winkens;Rudy Bunel;Abhijit Guha Roy;Robert Stanforth

Frequent Co-Authors

Hans Burkhardt
Hans Burkhardt University of Freiburg
Thomas Brox
Thomas Brox University of Freiburg
Klaus Palme
Klaus Palme University of Freiburg
Jürgen Popp
Jürgen Popp Friedrich Schiller University Jena
Wolfgang Driever
Wolfgang Driever University of Freiburg
Petra Rösch
Petra Rösch Friedrich Schiller University Jena
Markus Raffel
Markus Raffel German Aerospace Center
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Hugh Montgomery
Hugh Montgomery University College London
Roland Nitschke
Roland Nitschke University of Freiburg

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