World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
9371
World Ranking
2901
National Ranking
68

Freek J. Beekman publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Freek J. Beekman sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 195 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Freek J. Beekman D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Freek J. Beekman sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Freek J. Beekman is affiliated with Delft University of Technology in the Netherlands. Their research primarily focuses on Medicine, with significant contributions in Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Surgery, and Epidemiology.

The scientist's main areas of study include Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Radiopharmaceutical Chemistry and Applications, Advanced MRI Techniques and Applications, Radiomics and Machine Learning in Medical Imaging, Radiation Dose and Imaging, and Infective Endocarditis Diagnosis and Management.

Freek J. Beekman has published research in various scientific journals. Notable recent papers include:

  • The clinical utilities of multi-pinhole single photon emission computed tomography, 2020, Quantitative Imaging in Medicine and Surgery
  • Positron range-free and multi-isotope tomography of positron emitters, 2021, Physics in Medicine and Biology
  • Glymphatic-assisted perivascular brain delivery of intrathecal small gold nanoparticles, 2023, Journal of Controlled Release
  • Automatic attenuation map estimation from SPECT data only for brain perfusion scans using convolutional neural networks, 2021, Physics in Medicine and Biology
  • 3D-printed saw guides for lower arm osteotomy, a comparison between a synthetic CT and CT-based workflow, 2021, 3D Printing in Medicine

The frequent publication venues for their work include:

  • Physics in Medicine and Biology
  • Quantitative Imaging in Medicine and Surgery
  • Journal of Controlled Release
  • 3D Printing in Medicine
  • International Journal of Molecular Sciences

Freek J. Beekman collaborates regularly with several co-authors. Frequent collaborators include Marlies C Goorden, Ruud M. Ramakers, Chris Kamphuis, Minh Phuong Nguyen, and Sofia Koustoulidou.

Best Publications

  • U-SPECT-II: An Ultra-High-Resolution Device for Molecular Small-Animal Imaging

    Frans van der Have;Brendan Vastenhouw;Ruud M. Ramakers;Woutjan Branderhorst

  • Design and simulation of a high-resolution stationary SPECT system for small animals

    Freek J Beekman;Brendan Vastenhouw

  • LaBr3:Ce and SiPMs for time-of-flight PET: achieving 100 ps coincidence resolving time

    Dennis R Schaart;Stefan Seifert;Ruud Vinke;Herman T van Dam

  • Modelling the physics in the iterative reconstruction for transmission computed tomography

    Johan Nuyts;Bruno De Man;Jeffrey A Fessler;Wojciech Zbijewski

  • Review and current status of SPECT scatter correction.

    Brian F Hutton;Irène Buvat;Freek J Beekman

  • Efficient fully 3-D iterative SPECT reconstruction with Monte Carlo-based scatter compensation

    F.J. Beekman;H.W.A.M. de Jong;S. van Geloven

  • Accelerated iterative transmission CT reconstruction using an ordered subsets convex algorithm

    Unknown

  • Efficient Monte Carlo based scatter artifact reduction in cone-beam micro-CT

    W. Zbijewski;F.J. Beekman

  • Performance evaluation of A-SPECT: a high resolution desktop pinhole SPECT system for imaging small animals

    D.P. McElroy;L.R. MacDonald;F.J. Beekman;Yuchuan Wang

  • Accelerated simulation of cone beam X-ray scatter projections

    A.P. Colijn;F.J. Beekman

  • Towards in vivo nuclear microscopy: iodine-125 imaging in mice using micro-pinholes.

    Freek J. Beekman;David P. McElroy;Frank Berger;Sanjiv S. Gambhir

  • Submillimeter Total-Body Murine Imaging with U-SPECT-I

    Brendan Vastenhouw;Freek Beekman

  • Real-time prompt γ monitoring in spot-scanning proton therapy using imaging through a knife-edge-shaped slit.

    Victor Bom;Leila Joulaeizadeh;Freek Beekman

  • Ordered subset reconstruction for x-ray CT

    Freek J Beekman;Chris Kamphuis

  • Pixel-based subsets for rapid multi-pinhole SPECT reconstruction.

    Woutjan Branderhorst;Brendan Vastenhouw;Freek J Beekman

  • Scatter compensation methods in 3D iterative SPECT reconstruction: A simulation study

    Freek J Beekman;Chris Kamphuis;Eric C Frey

  • Acceleration of Monte Carlo SPECT simulation using convolution-based forced detection

    H.W.A.M. de Jong;E.T.P. Slijpen;F.J. Beekman

  • Object shape dependent PSF model for SPECT imaging

    F.J. Beekman;E.G.J. Eijkman;M.A. Viergever;G.F. Borm

  • VECTor: A Preclinical Imaging System for Simultaneous Submillimeter SPECT and PET

    Marlies C. Goorden;Frans van der Have;Rob Kreuger;Ruud M. Ramakers

  • A Comprehensive Model of the Response of Silicon Photomultipliers

    H T van Dam;S Seifert;R Vinke;D Dendooven

  • Maximum likelihood estimation of cerebral blood flow in dynamic susceptibility contrast MRI.

    Evert-jan P.A. Vonken;Freek J. Beekman;Chris J.G. Bakker;Max A. Viergever

Frequent Co-Authors

Max A. Viergever
Max A. Viergever Utrecht University
Benjamin M. W. Tsui
Benjamin M. W. Tsui Johns Hopkins University
Jan Booij
Jan Booij University of Amsterdam
Rudi Dierckx
Rudi Dierckx University Medical Center Groningen
Harrie Weinans
Harrie Weinans Utrecht University
Marion de Jong
Marion de Jong Erasmus University Rotterdam
Simon R. Cherry
Simon R. Cherry University of California, Davis
Boudewijn P. F. Lelieveldt
Boudewijn P. F. Lelieveldt Leiden University Medical Center
Haiko J. Bloemendal
Haiko J. Bloemendal Radboud University
Mark Gieles
Mark Gieles University of Barcelona

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