World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
17340
World Ranking
2590
National Ranking
112

Andreas Maier 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 Andreas Maier 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: 862 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Andreas Maier 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 Andreas Maier 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: 64 D-Index — 82nd percentile

82% 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

  • 2013 - Fellow of Alfred P. Sloan Foundation

Overview

Andreas Maier is affiliated with the University of Erlangen-Nuremberg in Germany. Their research spans several interdisciplinary fields including Medicine, Computer Science, and Engineering, with a significant focus on subfields such as Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, and Pulmonary and Respiratory Medicine.

The main topics covered in their work include Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Medical Image Segmentation Techniques, Advanced MRI Techniques and Applications, and Retinal Imaging and Analysis.

Recent publications by Andreas Maier include:

  • "A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging", 2020, Medical Image Analysis
  • "Mitosis domain generalization in histopathology images - The MIDOG challenge", 2022, Medical Image Analysis
  • "Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function", 2020, Biomedical Optics Express
  • "Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for ai-assisted medical education and decision making in radiation oncology", 2023, Frontiers in Oncology
  • "Deepfilternet: A Low Complexity Speech Enhancement Framework for Full-Band Audio Based On Deep Filtering", 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Frequent co-authors who have collaborated extensively with Andreas Maier are:

  • Vincent Christlein
  • Katharina Breininger
  • Marc Aubreville
  • Mareike Thies
  • Yixing Huang

Their work has been published across various specialized venues, including:

  • arXiv (Cornell University)
  • Scientific Reports
  • Zenodo (CERN European Organization for Nuclear Research)
  • 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
  • e-Journal of Nondestructive Testing

Andreas Maier has contributed to numerous book publications. Notable publishers include Springer Nature, with titles such as "Bildverarbeitung für die Medizin 2020" (2020), "Bildverarbeitung für die Medizin 2022" (2022), "Bildverarbeitung für die Medizin 2023" (2023), and "Bildverarbeitung für die Medizin 2024" (2024). Additionally, they have published "Machine Learning for Medical Image Reconstruction" (2022) with Springer Science+Business Media and "Auditory Perception and Phantom Perception in Brains, Minds and Machines" (2023) with Frontiers Media.

Among the awards received, Andreas Maier was named a Fellow of the Alfred P. Sloan Foundation in 2013.

Best Publications

  • Robust Vessel Segmentation in Fundus Images

    Attila Budai;Rüdiger Bock;Andreas K. Maier;Joachim Hornegger

  • A gentle introduction to deep learning in medical image processing

    Andreas K. Maier;Christopher Syben;Tobias Lasser;Christian Riess

  • Automatic classification of defective photovoltaic module cells in electroluminescence images

    Sergiu Deitsch;Vincent Christlein;Stephan Berger;Claudia Buerhop-Lutz

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

    Zhaohan Xiong;Qing Xia;Zhiqiang Hu;Ning Huang

  • Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

    Florin-Cristian Ghesu;Bogdan Georgescu;Yefeng Zheng;Sasa Grbic

  • Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

    Marc Aubreville;Christian Knipfer;Christian Knipfer;Nicolai Oetter;Christian Jaremenko

  • Learning with Known Operators reduces Maximum Training Error Bounds.

    Andreas K. Maier;Christopher Syben;Bernhard Stimpel;Tobias Würfl

  • Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems

    Tobias Wurfl;Mathis Hoffmann;Vincent Christlein;Katharina Breininger

  • PEAKS - A system for the automatic evaluation of voice and speech disorders

    A. Maier;T. Haderlein;U. Eysholdt;F. Rosanowski

  • Robust Non-rigid Registration Through Agent-Based Action Learning

    Julian Krebs;Julian Krebs;Tommaso Mansi;Hervé Delingette;Li Zhang

  • Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

    Sebastian Gündel;Sasa Grbic;Bogdan Georgescu;Siqi Liu

  • Deep Learning Computed Tomography

    Tobias Würfl;Florin C. Ghesu;Vincent Christlein;Andreas K. Maier

  • Towards More Reality in the Recognition of Emotional Speech

    B. Schuller;D. Seppi;A. Batliner;A. Maier

  • CONRAD—A software framework for cone-beam imaging in radiology

    Andreas Maier;Hannes G. Hofmann;Martin Berger;Peter Fischer

  • Age and gender recognition for telephone applications based on GMM supervectors and support vector machines

    T. Bocklet;A. Maier;J.G. Bauer;F. Burkhardt

  • Segmentation of photovoltaic module cells in uncalibrated electroluminescence images

    Sergiu Deitsch;Claudia Buerhop-Lutz;Evgenii Sovetkin;Ansgar Steland

  • Evaluation of speech intelligibility for children with cleft lip and palate by means of automatic speech recognition

    Maria Schuster;Andreas Maier;Tino Haderlein;Emeka Nkenke

  • TOWARD QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY: Visualizing Blood Flow Speeds in Ocular Pathology Using Variable Interscan Time Analysis

    Stefan B. Ploner;Eric M. Moult;WooJhon Choi;Nadia K. Waheed

  • Classification of breast cancer histology images using transfer learning

    Sulaiman Vesal;Nishant Ravikumar;AmirAbbas Davari;Stephan Ellmann

  • Decoding Sources of Energy Variability in a Laser-Plasma Accelerator

    Andreas R. Maier;Niels M. Delbos;Timo Eichner;Lars Hübner

  • Automatic CAD-RADS Scoring Using Deep Learning

    Felix Denzinger;Michael Wels;Katharina Breininger;Mehmet A. Gülsün

  • Writer Identification Using GMM Supervectors and Exemplar-SVMs

    Vincent Christlein;David Bernecker;Florian Hönig;Andreas K. Maier

Frequent Co-Authors

Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Rebecca Fahrig
Rebecca Fahrig Siemens Healthcare (United States)
Elmar Nöth
Elmar Nöth University of Erlangen-Nuremberg
Stefan Steidl
Stefan Steidl MorphoSys (Germany)
Jay S. Duker
Jay S. Duker Tufts Medical Center
Peter Fischer
Peter Fischer Lawrence Berkeley National Laboratory
Garry E. Gold
Garry E. Gold Stanford University
Xiaolin Huang
Xiaolin Huang Shanghai Jiao Tong University
Gisela Anton
Gisela Anton University of Erlangen-Nuremberg

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