World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
15248
World Ranking
4988
National Ranking
299

Emanuele Trucco 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 Emanuele Trucco 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: 277 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Emanuele Trucco 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 Emanuele Trucco 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: 52 D-Index — 65th percentile

65% 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 International Association for Pattern Recognition (IAPR) For contributions to computer vision and applications

Overview

Emanuele Trucco is affiliated with the University of Dundee in the United Kingdom. Their research primarily spans the field of medicine, with a considerable focus on ophthalmology and related subfields such as radiology, nuclear medicine and imaging, computer vision and pattern recognition, genetics, and molecular biology.

Their main topics of work cover several aspects of retinal health and associated conditions. Key research areas include:

  • Retinal Imaging and Analysis
  • Retinal Diseases and Treatments
  • Glaucoma and retinal disorders
  • Retinal and Optic Conditions
  • Acute Ischemic Stroke Management
  • Genetic Associations and Epidemiology
  • Medical Imaging and Analysis

Emanuele Trucco has published extensively, including work in multiple well-known venues. Frequent publication venues include:

  • Scientific Reports
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Translational Vision Science & Technology
  • Eye

Notable recent papers authored or coauthored by Emanuele Trucco are:

  • "Using machine learning approaches for multi-omics data analysis: A review," 2021, Biotechnology Advances
  • "A foundation model for generalizable disease detection from retinal images," 2023, Nature
  • "A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification," 2020, Medical Image Analysis
  • "Retinal imaging in Alzheimer's disease," 2021, Journal of Neurology Neurosurgery & Psychiatry
  • "Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease," 2023, Neurology

Emanuele Trucco has collaborated frequently with several researchers. The most common coauthors include:

  • Tom MacGillivray
  • Paul J. Foster
  • Alex S. F. Doney
  • Anthony P. Khawaja
  • Cathy Williams

Their scholarly output also includes contributions to book publications, particularly with Springer Science+Business Media. One published book is titled Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis (2022).

Award recognition includes being named a Fellow of the International Association for Pattern Recognition (IAPR) in 2016 for contributions to computer vision and applications.

Best Publications

  • Introductory Techniques for 3-D Computer Vision

    Emanuele Trucco;Alessandro Verri

  • A compact algorithm for rectification of stereo pairs

    Andrea Fusiello;Emanuele Trucco;Alessandro Verri

  • Using machine learning approaches for multi-omics data analysis: A review

    Parminder S. Reel;Smarti Reel;Ewan Pearson;Emanuele Trucco

  • Efficient stereo with multiple windowing

    A. Fusiello;V. Roberto;E. Trucco

  • FABC: Retinal Vessel Segmentation Using AdaBoost

    C A Lupascu;D Tegolo;E Trucco

  • Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review

    Enrico Pellegrini;Lucia Ballerini;Maria del C. Valdes Hernandez;Francesca M. Chappell

  • Making good features track better

    T. Tommasini;A. Fusiello;E. Trucco;V. Roberto

  • Video Tracking: A Concise Survey

    E. Trucco;K. Plakas

  • Self-Tuning Underwater Image Restoration

    E. Trucco;A.T. Olmos-Antillon

  • Validating retinal fundus image analysis algorithms: issues and a proposal.

    Emanuele Trucco;Alfredo Ruggeri;Thomas Karnowski;Luca Giancardo

  • Dictionary of Computer Vision and Image Processing

    Robert B. Fisher;Toby P. Breckon;Kenneth Dawson-Howe;Andrew Fitzgibbon

  • Retinal vessel segmentation using multiwavelet kernels and multiscale hierarchical decomposition

    Yangfan Wang;Guangrong Ji;Ping Lin;Emanuele Trucco

  • Robust motion and correspondence of noisy 3-D point sets with missing data

    Emanuele Trucco;Andrea Fusiello;Vito Roberto

  • Experiments in curvature-based segmentation of range data

    E. Trucco;R.B. Fisher

  • Leveraging Multiscale Hessian-Based Enhancement With a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation

    Roberto Annunziata;Andrea Garzelli;Lucia Ballerini;Alessandro Mecocci

  • Towards automated progress assessment of workpackage components in construction projects using computer vision

    Y. M. Ibrahim;T. C. Lukins;X. Zhang;E. Trucco

  • Improving Feature Tracking with Robust Statistics

    Andrea Fusiello;Emanuele Trucco;Tiziano Tommasini;Vito Roberto

  • Three-dimensional image processing in the future of immersive media

    F. Isgro;E. Trucco;P. Kauff;O. Schreer

  • VAMPIRE: Vessel assessment and measurement platform for images of the REtina

    A Perez-Rovira;T MacGillivray;E Trucco;K S Chin

  • A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification.

    Muthu Rama Krishnan Mookiah;Stephen Hogg;Tom J MacGillivray;Vijayaraghavan Prathiba

  • Model-based planning of optimal sensor placements for inspection

    E. Trucco;M. Umasuthan;A.M. Wallace;V. Roberto

  • Computer and Robot Vision

    Emanuele Trucco

  • Geometric Invariance in Computer Vision

    Emanuele Trucco

Frequent Co-Authors

Alex S. F. Doney
Alex S. F. Doney University of Dundee
David M. Lane
David M. Lane Heriot-Watt University
Joanna M. Wardlaw
Joanna M. Wardlaw University of Edinburgh
Yvan Petillot
Yvan Petillot Heriot-Watt University
Andrea Fusiello
Andrea Fusiello University of Udine
David E. Newby
David E. Newby University of Edinburgh
Ian J. Deary
Ian J. Deary University of Edinburgh
Stephen J. McKenna
Stephen J. McKenna University of Dundee
Robert B. Fisher
Robert B. Fisher University of Edinburgh
Alessandro Verri
Alessandro Verri University of Genoa

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