World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
14212
World Ranking
4256
National Ranking
186

Lena Maier-Hein 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 Lena Maier-Hein 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: 305 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Lena Maier-Hein 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 Lena Maier-Hein 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Lena Maier-Hein is affiliated with the German Cancer Research Center in Germany. Their research spans across multiple disciplines, primarily within Medicine and Engineering, with a significant focus on the application of advanced computational techniques in healthcare.

The main fields of study covered by their work include Medicine with 217 publications and Engineering with 90 publications. More specifically, their subfields of study emphasize Radiology, Nuclear Medicine and Imaging (90 publications), Biomedical Engineering (70 publications), Surgery (35 publications), Computer Vision and Pattern Recognition (34 publications), and Health Informatics (34 publications).

Their research topics cover:

  • Artificial Intelligence in Healthcare and Education
  • Optical Imaging and Spectroscopy Techniques
  • Photoacoustic and Ultrasonic Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • Surgical Simulation and Training
  • Infrared Thermography in Medicine
  • Anatomy and Medical Technology

Among frequently published venues for their work are:

  • arXiv (Cornell University) with 37 publications
  • International Journal of Computer Assisted Radiology and Surgery with 12 publications
  • Medical Image Analysis with 11 publications
  • Scientific Reports with 7 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 5 publications

Frequent co-authors collaborating on multiple publications include:

  • Annika Reinke (39 joint publications)
  • Minu D. Tizabi (37 joint publications)
  • Felix Nickel (36 joint publications)
  • Beat P. Müller-Stich (35 joint publications)
  • Silvia Seidlitz (30 joint publications)

Recent notable papers by Lena Maier-Hein encompass:

  • The Medical Segmentation Decathlon, 2022, published in Nature Communications
  • TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods, 2024, published in BMJ
  • MONAI: An open-source framework for deep learning in healthcare, 2022, published on arXiv (Cornell University)
  • CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII, 2023, published in Insights into Imaging
  • Metrics reloaded: recommendations for image analysis validation, 2024, published in Nature Methods

Best Publications

  • 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

  • Electromagnetic tracking in medicine--a review of technology, validation, and applications.

    Alfred M. Franz;Tamás Haidegger;Wolfgang Birkfellner;Kevin Cleary

  • The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development.

    Marco Nolden;Sascha Zelzer;Alexander Seitel;Diana Wald

  • Surgical data science for next-generation interventions.

    Lena Maier-Hein;Swaroop S. Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

    Jorge Bernal;Nima Tajkbaksh;Francisco Javier Sanchez;Bogdan J. Matuszewski

  • Deep learning for biomedical photoacoustic imaging: A review.

    Janek Gröhl;Janek Gröhl;Melanie Schellenberg;Kris Dreher;Kris Dreher;Lena Maier-Hein;Lena Maier-Hein

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

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

  • Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery.

    Lena Maier-Hein;Peter Mountney;Adrien Bartoli;Haytham Elhawary

  • Surgical Data Science - from Concepts toward Clinical Translation

    Lena Maier-Hein;Lena Maier-Hein;Matthias Eisenmann;Duygu Sarikaya;Duygu Sarikaya;Keno März

  • Analyzing Inverse Problems with Invertible Neural Networks

    Lynton Ardizzone;Jakob Kruse;Sebastian J. Wirkert;Daniel Rahner

  • Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

    Danail Stoyanov;Zeike Taylor;Gustavo Carneiro;Tanveer Syeda-Mahmood

  • Surgical data science: Enabling next-generation surgery

    Lena Maier-Hein;S. Swaroop Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Session independent non-audible speech recognition using surface electromyography

    L. Maier-Hein;F. Metze;T. Schultz;A. Waibel

  • Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

    Tobias Ross;David Zimmerer;Anant Vemuri;Fabian Isensee

  • Surgical spectral imaging

    Neil T. Clancy;Geoffrey Jones;Lena Maier-Hein;Daniel S. Elson

  • Convergent Iterative Closest-Point Algorithm to Accomodate Anisotropic and Inhomogenous Localization Error

    L. Maier-Hein;A. M. Franz;T. R. dos Santos;M. Schmidt

  • Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction.

    L. Maier-Hein;A. Groch;A. Bartoli;S. Bodenstedt

  • Indocyanine green fluorescence imaging in hepatobiliary surgery

    Ali Majlesara;Mohammad Golriz;Mohammadreza Hafezi;Arash Saffari

  • BIAS: Transparent reporting of biomedical image analysis challenges.

    Lena Maier-Hein;Annika Reinke;Michal Kozubek;Anne L. Martel

  • 2018 Robotic Scene Segmentation Challenge

    Max Allan;Satoshi Kondo;Sebastian Bodenstedt;Stefan Leger

  • 2017 Robotic Instrument Segmentation Challenge.

    Max Allan;Alexey Shvets;Thomas Kurmann;Zichen Zhang

  • Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017

    Maxime Descoteaux;Lena Maier-Hein;Alfred Franz;Pierre Jannin

  • Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

    Max Allan;A. Jonathan McLeod;Cong Cong Wang;Jean-Claude Rosenthal

Frequent Co-Authors

Hans-Peter Meinzer
Hans-Peter Meinzer German Cancer Research Center
Stefanie Speidel
Stefanie Speidel National Center for Tumor Diseases
Danail Stoyanov
Danail Stoyanov University College London
Klaus H. Maier-Hein
Klaus H. Maier-Hein German Cancer Research Center
Beat P. Müller-Stich
Beat P. Müller-Stich Heidelberg University
Pierre Jannin
Pierre Jannin University of Rennes
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Michael Muller
Michael Muller IBM (United States)
Nassir Navab
Nassir Navab Technical University of Munich

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