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D-Index & Metrics

Computer Science

D-Index
32
Citations
5405
World Ranking
13029
National Ranking
830

Matthew J. Clarkson 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 Matthew J. Clarkson 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Matthew J. Clarkson 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 Matthew J. Clarkson 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Matthew J. Clarkson is affiliated with University College London in the United Kingdom. Their research spans multiple intersecting fields, primarily focusing on computer science, medicine, and engineering. This multidisciplinary approach underpins a substantial body of work across areas related to medical imaging, surgical technologies, and artificial intelligence.

The main fields of study in which they have published include:

  • Computer Science
  • Medicine
  • Engineering

Within these fields, their subfields of focus comprise:

  • Computer Vision and Pattern Recognition
  • Surgery
  • Biomedical Engineering
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence

Key topics of their research work cover:

  • Surgical Simulation and Training
  • Medical Image Segmentation Techniques
  • Augmented Reality Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Robotics and Sensor-Based Localization
  • Anatomy and Medical Technology
  • 3D Shape Modeling and Analysis

Matthew J. Clarkson has frequently published in venues including:

  • arXiv (Cornell University)
  • International Journal of Computer Assisted Radiology and Surgery
  • Medical Image Analysis
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Medical Imaging

Their recent publications include:

  • Gesture Recognition in Robotic Surgery: A Review (2021), published in IEEE Transactions on Biomedical Engineering
  • Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review (2022), published in Medical Image Analysis
  • Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study (2020), published in Surgical Endoscopy
  • Automatic, global registration in laparoscopic liver surgery (2021), published in International Journal of Computer Assisted Radiology and Surgery
  • DeepReg: a deep learning toolkit for medical image registration (2020), published in The Journal of Open Source Software

Frequent co-authors in their research collaborations include:

  • Yipeng Hu
  • Danail Stoyanov
  • Dean C. Barratt
  • Brian R Davidson
  • Shaheer U. Saeed

Best Publications

  • Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

    Eli Gibson;Francesco Giganti;Yipeng Hu;Ester Bonmati

  • Head size, age and gender adjustment in MRI studies: a necessary nuisance?

    Josephine Barnes;Gerard R. Ridgway;Gerard R. Ridgway;Jonathan W. Bartlett;Susie M. D. Henley

  • Progressive logopenic/phonological aphasia: erosion of the language network.

    Jonathan D. Rohrer;Gerard R. Ridgway;Sebastian J. Crutch;Julia Hailstone

  • An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease

    Hubert M. J. Fonteijn;Hubert M. J. Fonteijn;Marc Modat;Matthew J. Clarkson;Matthew J. Clarkson;Josephine Barnes

  • Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease

    Kelvin K. Leung;Josephine Barnes;Gerard R. Ridgway;Jonathan W. Bartlett

  • Non-rigid registration using higher-order mutual information

    Daniel Rueckert;Matthew J. Clarkson;Derek L. G. Hill;David John Hawkes

  • A comparison of voxel and surface based cortical thickness estimation methods

    Matthew J. Clarkson;Manuel Jorge Cardoso;Gerard R. Ridgway;Gerard R. Ridgway;Marc Modat

  • Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: tissue-specific intensity normalization and parameter selection.

    Kelvin K. Leung;Matthew J. Clarkson;Jonathan W. Bartlett;Shona Clegg

  • Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review

    Unknown

  • Gesture Recognition in Robotic Surgery: A Review

    Beatrice van Amsterdam;Matthew J. Clarkson;Danail Stoyanov

  • Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images

    Christine Tanner;Julia A. Schnabel;D. Chung;Matthew J. Clarkson

  • LoAd: A locally adaptive cortical segmentation algorithm

    Manuel Jorge Cardoso;Matthew J. Clarkson;Gerard R. Ridgway;Gerard R. Ridgway;Marc Modat

  • NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics

    Stian Flage Johnsen;Zeike A. Taylor;Matthew J. Clarkson;John H. Hipwell

  • Using photo-consistency to register 2D optical images of the human face to a 3D surface model

    M.J. Clarkson;D. Rueckert;D.L.G. Hill;D.J. Hawkes

  • Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation

    Micha Pfeiffer;Isabel Funke;Maria R. Robu;Sebastian Bodenstedt

  • Comparison of phantom and registration scaling corrections using the ADNI cohort

    Matthew J. Clarkson;Sébastien Ourselin;Casper Nielsen;Kelvin K. Leung

  • Stereo Augmented Reality in the Surgical Microscope

    A. P. King;P. J. Edwards;C. R. Maurer;D. A. de Cunha

  • Towards image-guided pancreas and biliary endoscopy: Automatic multi-organ segmentation on abdominal CT with dense dilated networks

    Eli Gibson;Francesco Giganti;Francesco Giganti;Yipeng Hu;Ester Bonmati

  • Identification and removal of laser-induced noise in photoacoustic imaging using singular value decomposition.

    Emma R. Hill;Wenfeng Xia;Matthew J. Clarkson;Adrien E. Desjardins

  • Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study.

    C. Schneider;S. Thompson;J. Totz;Y. Song

  • Global rigid registration of CT to video in laparoscopic liver surgery.

    Maria R. Robu;João Ramalhinho;Stephen A. Thompson;Kurinchi Gurusamy

  • The NifTK software platform for image-guided interventions: platform overview and NiftyLink messaging.

    Matthew J. Clarkson;Gergely Zombori;Steve Thompson;Johannes Totz

  • Hand–eye calibration for rigid laparoscopes using an invariant point

    Stephen A. Thompson;Danail Stoyanov;Crispin Schneider;Kurinchi Gurusamy

Frequent Co-Authors

Sebastien Ourselin
Sebastien Ourselin King's College London
David J. Hawkes
David J. Hawkes University College London
Kurinchi Selvan Gurusamy
Kurinchi Selvan Gurusamy University College London
Nick C. Fox
Nick C. Fox University College London
Brian R. Davidson
Brian R. Davidson University College London
Danail Stoyanov
Danail Stoyanov University College London
Marc Modat
Marc Modat King's College London
Dean C. Barratt
Dean C. Barratt University College London
Josephine Barnes
Josephine Barnes University College London
Jonathan D. Rohrer
Jonathan D. Rohrer University College London

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