World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5570
World Ranking
10791
National Ranking
4494

Rebecca Fahrig 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 Rebecca Fahrig 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: 284 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Rebecca Fahrig 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 Rebecca Fahrig 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: 37 D-Index — 27th percentile

27% 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

  • 2016 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Rebecca Fahrig is affiliated with Siemens Healthcare in the United States. Their research primarily focuses on the fields of Medicine, Engineering, and Computer Science, with a significant emphasis on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, and Computer Vision and Pattern Recognition.

The scientist's work covers a range of topics related to medical imaging, including Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Radiation Dose and Imaging, Advanced Radiotherapy Techniques, Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, and Digital Radiography and Breast Imaging.

Frequent publication venues for Fahrig include arXiv (Cornell University), Medical Physics, Journal of Medical Imaging, Physics in Medicine and Biology, and Pattern Recognition. The researcher has contributed multiple papers to these journals, reflecting a consistent focus on imaging technology and computational methods in medicine.

Notable recent papers authored or co-authored by Fahrig include:

  • Flat-panel conebeam CT in the clinic: history and current state, 2021, Journal of Medical Imaging
  • Monocular multi-person pose estimation: A survey, 2021, Pattern Recognition
  • Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images, 2021, Scientific Reports
  • A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites, 2022, Future Generation Computer Systems
  • Baptizo: A sensor fusion based model for tracking the identity of human poses, 2020, Information Fusion

Frequent collaborators in Fahrig's research include Andreas Maier, Norbert Strobel, Annette Birkhold, Markus Kowarschik, and Philipp Roser, indicating active engagement in collaborative projects within the imaging and biomedical engineering communities.

Rebecca Fahrig was recognized as a Fellow of the Indian National Academy of Engineering (INAE) in 2016, marking a formal acknowledgment of contributions to the field.

Best Publications

  • Scatter Correction Method for X-Ray CT Using Primary Modulation: Theory and Preliminary Results

    Lei Zhu;N.R. Bennett;R. Fahrig

  • Deconvolution-based CT and MR brain perfusion measurement: theoretical model revisited and practical implementation details

    Andreas Fieselmann;Markus Kowarschik;Arundhuti Ganguly;Joachim Hornegger

  • Dose and image quality for a cone-beam C-arm CT system.

    Rebecca Fahrig;Robert Dixon;Thomas Payne;Richard L. Morin

  • Three‐dimensional computed tomographic reconstruction using a C‐arm mounted XRII: Correction of image intensifier distortion

    R. Fahrig;M. Moreau;D. W. Holdsworth

  • Three-dimensional computed tomographic reconstruction using a C-arm mounted XRII: Image-based correction of gantry motion nonidealities

    R. Fahrig;D. W. Holdsworth;D. W. Holdsworth

  • Towards cardiac C-arm computed tomography

    G. Lauritsch;J. Boese;L. Wigstrom;H. Kemeth

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

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

  • Optimization of spectral shape in digital mammography: Dependence on anode material, breast thickness, and lesion type

    Rebecca Fahrig;Martin J. Yaffe;Martin J. Yaffe

  • A truly hybrid interventional MR/X-ray system: feasibility demonstration.

    Rebecca Fahrig;Kim Butts;John A. Rowlands;Rowland Saunders

  • Computed tomography with increased field of view

    Norbert J. Pelc;Rebecca Fahrig;Edward G. Solomon

  • An inverse-geometry volumetric CT system with a large-area scanned source: a feasibility study.

    Taly Gilat Schmidt;Rebecca Fahrig;Norbert J. Pelc;Edward G. Solomon

  • Filtered backprojection for modifying the impulse response of circular tomosynthesis.

    Grant M. Stevens;Rebecca Fahrig;Norbert J. Pelc

  • Scatter correction method for x-ray CT using primary modulation: Phantom studies

    Hewei Gao;Rebecca Fahrig;N. Robert Bennett;Mingshan Sun

  • X-ray scatter correction for cone-beam CT using moving blocker array

    Lei Zhu;Norbert Strobel;Norbert Strobel;Rebecca Fahrig

  • X-ray imaging with amorphous selenium: detective quantum efficiency of photoconductive receptors for digital mammography.

    Rebecca Fahrig;Rebecca Fahrig;J. A. Rowlands;J. A. Rowlands;Martin J. Yaffe;Martin J. Yaffe

  • Dynamic geometrical calibration for 3D cerebral angiography

    Nassir Navab;Ali R. Bani-Hashemi;Matthias M. Mitschke;David W. Holdsworth

  • Cerebral CT Perfusion Using an Interventional C-Arm Imaging System: Cerebral Blood Flow Measurements

    A. Ganguly;A. Fieselmann;M. Marks;J. Rosenberg

  • Cardiac C-Arm CT: A Unified Framework for Motion Estimation and Dynamic CT

    M. Prummer;J. Hornegger;G. Lauritsch;L. Wigstrom

  • A prototype table-top inverse-geometry volumetric CT system

    Taly Gilat Schmidt;Josh Star-Lack;N. Robert Bennett;Samuel R. Mazin

  • Marker-free motion correction in weight-bearing cone-beam CT of the knee joint

    M. Berger;K. Müller;A. Aichert;M. Unberath

  • A model for optimization of spectral shape in digital mammography.

    Rebecca Fahrig;Rebecca Fahrig;Martin J. Yaffe;Martin J. Yaffe

Frequent Co-Authors

Andreas Maier
Andreas Maier University of Erlangen-Nuremberg
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Norbert J. Pelc
Norbert J. Pelc Stanford University
Lei Xing
Lei Xing Stanford University
Garry E. Gold
Garry E. Gold Stanford University
Martin J. Yaffe
Martin J. Yaffe University of Toronto
John A. Rowlands
John A. Rowlands Sunnybrook Health Science Centre
Jeffrey H. Siewerdsen
Jeffrey H. Siewerdsen The University of Texas MD Anderson Cancer Center
Allan J. Fox
Allan J. Fox University of Toronto
John K. Eaton
John K. Eaton Stanford University

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