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

D-Index & Metrics

Computer Science

D-Index
114
Citations
71610
World Ranking
190
National Ranking
10

Nassir Navab 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 Nassir Navab 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: 1,367 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Nassir Navab 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 Nassir Navab 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: 114 D-Index — 99th percentile

99% 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

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

Overview

Nassir Navab is affiliated with the Technical University of Munich in Germany. Their research spans multiple interdisciplinary fields including Computer Science, Medicine, and Engineering.

The scientist has contributed extensively to subfields such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, and Surgery.

Navab's work covers a variety of main topics, including:

  • Radiomics and Machine Learning in Medical Imaging
  • Surgical Simulation and Training
  • Augmented Reality Applications
  • Anatomy and Medical Technology
  • Medical Image Segmentation Techniques
  • Robotics and Sensor-Based Localization
  • Advanced Neural Network Applications

Recent publications by Navab include:

  • Applicability of augmented reality in orthopedic surgery - A systematic review (2020), published in BMC Musculoskeletal Disorders
  • ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments (2020), published in IEEE Robotics and Automation Letters
  • GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors working with Navab include:

  • Federico Tombari
  • Benjamin Busam
  • Thomas Wendler
  • Shadi Albarqouni
  • Ulrich Eck

Navab's research output is widely published across various venues, predominantly in:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • International Journal of Computer Assisted Radiology and Surgery
  • Lecture Notes in Computer Science
  • Medical Image Analysis

The scientist has authored contributions to book publications as well, including a title released by Springer Science+Business Media:

  • Information Processing in Medical Imaging (2023)

Best Publications

  • V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

    Fausto Milletari;Nassir Navab;Seyed-Ahmad Ahmadi

  • 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

  • Deeper Depth Prediction with Fully Convolutional Residual Networks

    Iro Laina;Christian Rupprecht;Vasileios Belagiannis;Federico Tombari

  • Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

    Nassir Navab;Joachim Hornegger;William M. Wells;Alejandro F. Frangi

  • Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

    Stefan Hinterstoisser;Vincent Lepetit;Slobodan Ilic;Stefan Holzer

  • Model globally, match locally: Efficient and robust 3D object recognition

    Bertram Drost;Markus Ulrich;Nassir Navab;Slobodan Ilic

  • SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again

    Wadim Kehl;Fabian Manhardt;Federico Tombari;Slobodan Ilic

  • Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks

    Abhijit Guha Roy;Nassir Navab;Christian Wachinger

  • Medical Image Computing and Computer-Assisted Intervention -- Miccai 2010

    Tianzi Jiang;Nassir Navab;Josien P. W. Pluim;Max A. Viergever

  • Tissue Classification as a Potential Approach for Attenuation Correction in Whole-Body PET/MRI: Evaluation with PET/CT Data

    Axel Martinez-Möller;Michael Souvatzoglou;Gaspar Delso;Ralph A. Bundschuh

  • CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction

    Keisuke Tateno;Federico Tombari;Iro Laina;Nassir Navab

  • Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

    Abhishek Vahadane;Tingying Peng;Amit Sethi;Shadi Albarqouni

  • Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes

    Stefan Hinterstoisser;Stefan Holzer;Cedric Cagniart;Slobodan Ilic

  • Gradient Response Maps for Real-Time Detection of Textureless Objects

    S. Hinterstoisser;C. Cagniart;S. Ilic;P. Sturm

  • AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

    Shadi Albarqouni;Christoph Baur;Felix Achilles;Vasileios Belagiannis

  • ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.

    Abhijit Guha Roy;Sailesh Conjeti;Sri Phani Krishna Karri;Debdoot Sheet

  • Dense image registration through MRFs and efficient linear programming.

    Ben Glocker;Nikos Komodakis;Nikos Komodakis;Georgios Tziritas;Nassir Navab

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • Surgical data science for next-generation interventions.

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

  • Recalibrating Fully Convolutional Networks With Spatial and Channel “Squeeze and Excitation” Blocks

    Abhijit Guha Roy;Nassir Navab;Christian Wachinger

  • Automatic CT-ultrasound registration for diagnostic imaging and image-guided intervention

    Wolfgang Wein;Shelby Brunke;Ali Khamene;Matthew R. Callstrom

  • Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound

    Fausto Milletari;Seyed-Ahmad Ahmadi;Christine Kroll;Annika Plate

Frequent Co-Authors

Federico Tombari
Federico Tombari Technical University of Munich
Slobodan Ilic
Slobodan Ilic Technical University of Munich
Christian Wachinger
Christian Wachinger Technical University of Munich
Ben Glocker
Ben Glocker Imperial College London
Mehran Armand
Mehran Armand Johns Hopkins University
Russell H. Taylor
Russell H. Taylor Johns Hopkins University
Markus Schwaiger
Markus Schwaiger Technical University of Munich
Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Nikos Paragios
Nikos Paragios CentraleSupélec
Nikos Komodakis
Nikos Komodakis University of Crete

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

Exploring online degrees is a great way to start or advance your career in Computer Science while maintaining flexibility. Accelerated programs like an accelerated associates degree online make it possible to earn credentials faster, which can help you enter the workforce or transfer to a bachelor’s program sooner.

If you’re considering careers in related fields, business and engineering offer great alternatives. Comparing the business administration degree online cost can help find affordable programs tailored to your budget, while also providing skills valued in tech-focused business roles.

Cost is a major factor when choosing an online degree. Researching the cheapest online colleges can help you minimize student debt and manage expenses. For those interested in engineering, discovering the cheapest online engineering degree options can open doors to technical roles with high earning potential.

By weighing these online degree and career pathway options, you can select routes that align with your goals, schedule, and financial needs.

Best Scientists Citing Nassir Navab

Trending Scientists

Recently Published Articles