World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7823
World Ranking
8782
National Ranking
437

Marc Kachelrieß 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 Marc Kachelrieß 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: 201 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Marc Kachelrieß 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 Marc Kachelrieß 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Marc Kachelrieß is affiliated with the German Cancer Research Center in Germany. Their research spans the fields of Medicine and Engineering, with a notable focus on radiology and biomedical engineering disciplines.

The scientist's main subfields of study include:

  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering
  • Pulmonary and Respiratory Medicine
  • Computer Vision and Pattern Recognition
  • Radiation

Key topics covered in their research work are:

  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Radiation Dose and Imaging
  • Advanced MRI Techniques and Applications
  • Advanced Radiotherapy Techniques
  • Dental Radiography and Imaging
  • Radiomics and Machine Learning in Medical Imaging

Marc Kachelrieß has contributed to numerous publications, including papers in peer-reviewed journals. Selected recent works include:

  • Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia, 2020, Nature Reviews Cardiology
  • What scans we will read: imaging instrumentation trends in clinical oncology, 2020, Cancer Imaging
  • Iodine contrast-to-noise ratio improvement at unit dose and contrast media volume reduction in whole-body photon-counting CT, 2020, European Journal of Radiology
  • Computed Tomography 2.0, 2023, Investigative Radiology
  • Photon-counting normalized metal artifact reduction (NMAR) in diagnostic CT, 2021, Medical Physics

The scientist frequently collaborates with other researchers. Notable co-authors in their work include:

  • Joscha Maier
  • Stefan Sawall
  • Laura Klein
  • Elias Eulig
  • Heinz-Peter Schlemmer

Marc Kachelrieß has published extensively in several journals, among which the most frequent venues are:

  • Medical Physics
  • Physica Medica
  • 7th International Conference on Image Formation in X-Ray Computed Tomography
  • Scientific Reports
  • Radiotherapy and Oncology

Best Publications

  • Noninvasive coronary angiography by retrospectively ECG-gated multislice spiral CT.

    Stephan Achenbach;Stefan Ulzheimer;Ulrich Baum;Marc Kachelrieß

  • ECG-correlated image reconstruction from subsecond multi-slice spiral CT scans of the heart.

    Marc Kachelrieß;Stefan Ulzheimer;Willi A. Kalender

  • Electrocardiogram-correlated image reconstruction from subsecond spiral computed tomography scans of the heart

    Marc Kachelriess;Willi A. Kalender

  • Improved total variation-based CT image reconstruction applied to clinical data

    Unknown

  • Advanced single-slice rebinning in cone-beam spiral CT.

    Marc Kachelrieß;Stefan Schaller;Willi A. Kalender

  • Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia

    Marc Dewey;Maria Siebes;Marc Kachelrieß;Klaus F. Kofoed

  • Reconstruction from truncated projections in CT using adaptive detruncation

    K. Sourbelle;M. Kachelriess;W. A. Kalender

  • Dual energy CT: how well can pseudo-monochromatic imaging reduce metal artifacts?

    Stefan Kuchenbecker;Sebastian Faby;Stefan Sawall;Michael Lell

  • ECG-correlated imaging of the heart with subsecond multislice spiral CT

    M. Kachelriess;S. Ulzheimer;W.A. Kalender

  • Kymogram detection and kymogram-correlated image reconstruction from subsecond spiral computed tomography scans of the heart.

    Marc Kachelrieß;Dirk-Alexander Sennst;Wolfgang Maxlmoser;Willi A. Kalender

  • Extended parallel backprojection for standard three-dimensional and phase-correlated four-dimensional axial and spiral cone-beam CT with arbitrary pitch, arbitrary cone-angle, and 100% dose usage.

    Marc Kachelriess;Michael Knaup;Willi A Kalender

  • 4D respiratory motion‐compensated image reconstruction of free‐breathing radial MR data with very high undersampling

    Unknown

  • Iterative 4D cardiac micro-CT image reconstruction using an adaptive spatio-temporal sparsity prior.

    Ludwig Ritschl;Stefan Sawall;Michael Knaup;Andreas Hess

  • Self-adapting cyclic registration for motion-compensated cone-beam CT in image-guided radiation therapy.

    Unknown

  • An investigation of 4D cone-beam CT algorithms for slowly rotating scanners.

    Unknown

  • Autoadaptive phase-correlated (AAPC) reconstruction for 4D CBCT.

    Unknown

  • A U-Nets Cascade for Sparse View Computed Tomography

    Andreas Kofler;Markus Haltmeier;Christoph Kolbitsch;Christoph Kolbitsch;Marc Kachelrieß

  • Automatic multi-organ segmentation in dual-energy CT (DECT) with dedicated 3D fully convolutional DECT networks.

    Shuqing Chen;Xia Zhong;Shiyang Hu;Sabrina Dorn;Sabrina Dorn

  • Low-dose cardio-respiratory phase-correlated cone-beam micro-CT of small animals.

    Stefan Sawall;Frank Bergner;Robert Lapp;Markus Mronz

  • Robust primary modulation-based scatter estimation for cone-beam CT

    Ludwig Ritschl;Rebecca Fahrig;Michael Knaup;Joscha Maier

  • Neural networks-based regularization for large-scale medical image reconstruction.

    A Kofler;M Haltmeier;T Schaeffter;T Schaeffter;T Schaeffter;M Kachelrieß

  • Cardiorespiratory motion-compensated micro-CT image reconstruction using an artifact model-based motion estimation.

    Marcus Brehm;Stefan Sawall;Joscha Maier;Sebastian Sauppe

  • Segmentation-free empirical beam hardening correction for CT

    Sören Schüller;Stefan Sawall;Kai Stannigel;Markus Hülsbusch

  • Improved clinical workflow for simultaneous whole-body PET/MRI using high-resolution CAIPIRINHA-accelerated MR-based attenuation correction

    Martin T. Freitag;Matthias Fenchel;Philipp Bäumer;Thorsten Heußer

  • Prior-based artifact correction (PBAC) in computed tomography.

    Thorsten Heußer;Marcus Brehm;Ludwig Ritschl;Stefan Sawall

  • A robust geometry estimation method for spiral, sequential and circular cone-beam micro-CT

    Stefan Sawall;Michael Knaup;Marc Kachelrieß

  • Empirical cupping correction for CT scanners with primary modulation (ECCP).

    Rainer Grimmer;Rebecca Fahrig;Waldo Hinshaw;Hewei Gao

  • Imaging of cardiac perfusion of free-breathing small animals using dynamic phase-correlated micro-CT.

    Stefan Sawall;Jan Kuntz;Michaela Socher;Michael Knaup

  • CT-Guided Interventions: Current Practice and Future Directions

    Rajiv Gupta;Conor Walsh;Irene S. Wang;Marc Kachelrieß

  • Scatter correction using a primary modulator on a clinical angiography C-arm CT system.

    Bastian Bier;Martin Berger;Andreas Maier;Marc Kachelrieß

  • Real-time X-ray-based 4D image guidance of minimally invasive interventions

    Jan Kuntz;Rajiv Gupta;Stefan O. Schönberg;Wolfhard Semmler

  • Assessment of dedicated low-dose cardiac micro-CT reconstruction algorithms using the left ventricular volume of small rodents as a performance measure.

    Joscha Maier;Stefan Sawall;Marc Kachelrieß

  • Alpha image reconstruction (AIR): a new iterative CT image reconstruction approach using voxel-wise alpha blending.

    Christian Hofmann;Stefan Sawall;Michael Knaup;Marc Kachelrieß

  • Manifold Learning-based Data Sampling for Model Training

    Shuqing Chen;Sabrina Dorn;Michael Lell;Marc Kachelrieß

Frequent Co-Authors

Markus Haltmeier
Markus Haltmeier University of Innsbruck

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