World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
9320
World Ranking
8682
National Ranking
8

Franjo Pernuš 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 Franjo Pernuš 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: 271 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Franjo Pernuš 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 Franjo Pernuš 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

Franjo Pernuš is affiliated with the University of Ljubljana in Slovenia. Their research primarily spans the field of Medicine, with a focus on Radiology, Nuclear Medicine and Imaging, Neurology, Pulmonary and Respiratory Medicine, Biomedical Engineering, and Pediatrics, Perinatology and Child Health.

The main topics covered in their work include:

  • Intracranial Aneurysms: Treatment and Complications
  • Cerebrovascular and Carotid Artery Diseases
  • Advanced Neuroimaging Techniques and Applications
  • Fetal and Pediatric Neurological Disorders
  • Optical Imaging and Spectroscopy Techniques
  • Photoacoustic and Ultrasonic Imaging
  • Retinal Imaging and Analysis

Franjo Pernuš has contributed to several publications across notable venues, including:

  • arXiv (Cornell University)
  • Medical Physics
  • Frontiers in Physiology
  • Computers in Biology and Medicine
  • Biomedical Optics Express

Among the recent papers authored or coauthored by Franjo Pernuš are:

  • Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods, 2020, Medical Physics
  • Deep Shape Features for Predicting Future Intracranial Aneurysm Growth, 2021, Frontiers in Physiology
  • Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models, 2024, Computers in Biology and Medicine
  • Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural network, 2020, Biomedical Optics Express
  • Deep geometric learning for intracranial aneurysm detection: towards expert rater performance, 2023, Journal of NeuroInterventional Surgery

Frequent co-authors in their research include:

  • Žiga Špiclin
  • Žiga Bizjak
  • Boštjan Likar
  • Lara Dular
  • Peter Naglič

Best Publications

  • A Review of Methods for Correction of Intensity Inhomogeneity in MRI

    U. Vovk;F. Pernus;B. Likar

  • A review of 3D/2D registration methods for image-guided interventions

    Primož Markelj;Dejan Tomaževič;Boštjan Likar;Franjo Pernuš

  • Retrospective correction of MR intensity inhomogeneity by information minimization

    B. Likar;M.A. Viergever;F. Pernus

  • A Survey of Mobile Robots for Distribution Power Line Inspection

    J. Katrasnik;F. Pernus;B. Likar

  • A review of methods for quantitative evaluation of spinal curvature

    Tomaž Vrtovec;Franjo Pernuš;Boštjan Likar

  • A hierarchical approach to elastic registration based on mutual information

    Bostjan Likar;Franjo Pernus

  • Enhancement of Vascular Structures in 3D and 2D Angiographic Images

    Tim Jerman;Franjo Pernus;Bostjan Likar;Ziga Spiclin

  • 3-D/2-D registration of CT and MR to X-ray images

    D. Tomazevic;B. Likar;T. Slivnik;F. Pernus

  • New Robot for Power Line Inspection

    J. Katrasnik;F. Pernus;B. Likar

  • Retrospective shading correction based on entropy minimization.

    B Likar;J B Maintz;M A Viergever;F Pernus

  • A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation

    Robert Korez;Bulat Ibragimov;Bostjan Likar;Franjo Pernus

  • Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods.

    Tomaž Vrtovec;Domen Močnik;Primož Strojan;Franjo Pernuš

  • A protocol for evaluation of similarity measures for rigid registration

    D. Skerl;B. Likar;F. Pernus

  • Shape Representation for Efficient Landmark-Based Segmentation in 3-D

    Bulat Ibragimov;Bostjan Likar;Franjo Pernus;Tomaz Vrtovec

  • Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images.

    Darko Štern;Boštjan Likar;Franjo Pernuš;Tomaž Vrtovec

  • Robust Gradient-Based 3-D/2-D Registration of CT and MR to X-Ray Images

    P. Markelj;D. Tomazevic;F. Pernus;B. Likar

  • A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus.

    Žiga Lesjak;Alfiia Galimzianova;Aleš Koren;Matej Lukin

  • Comparative evaluation of retrospective shading correction methods

    D Tomazevic;B Likar;F Pernus

  • Model-Based Segmentation of Vertebral Bodies from MR Images with 3D CNNs

    Robert Korez;Boštjan Likar;Franjo Pernuš;Tomaž Vrtovec

  • 3-D/2-D registration by integrating 2-D information in 3-D

    D. Tomazevic;B. Likar;F. Pernus

Frequent Co-Authors

Boštjan Likar
Boštjan Likar University of Ljubljana
Max A. Viergever
Max A. Viergever Utrecht University
Ales Leonardis
Ales Leonardis University of Birmingham
Wolfgang Birkfellner
Wolfgang Birkfellner Medical University of Vienna
Lei Xing
Lei Xing Stanford University
Sebastien Ourselin
Sebastien Ourselin King's College London
Simon K. Warfield
Simon K. Warfield Boston Children's Hospital
Milan Sonka
Milan Sonka University of Iowa
Boudewijn P. F. Lelieveldt
Boudewijn P. F. Lelieveldt Leiden University Medical Center
Frank H. Duffy
Frank H. Duffy Boston Children's Hospital

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