World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
45026
World Ranking
2668
National Ranking
154

Michael Brady 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 Michael Brady 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: 367 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Michael Brady 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 Michael Brady 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Michael Brady is affiliated with the University of Oxford in the United Kingdom. Their research spans multiple fields including engineering and medicine, with a focus on subfields such as electrical and electronic engineering, oncology, automotive engineering, materials chemistry, and radiology, nuclear medicine, and imaging.

The scientist's work covers a variety of topics predominantly related to battery materials and cancer studies. Key themes include advancements in battery materials, advanced battery materials and technologies, advanced battery technologies research, global cancer incidence and screening, AI in cancer detection, breast cancer treatment studies, and cancer risks and factors.

Recent publications by Michael Brady include:

  • Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study (2023) published in BMJ
  • Predicting 10-year breast cancer mortality risk in the general female population in England: a model development and validation study (2023) published in The Lancet Digital Health
  • Water Vapor Induced Superionic Conductivity in ZnPS3 (2023) published in Journal of the American Chemical Society
  • Impact of Structural Deformations on the Performance of Li-Ion Insertion Hosts (2022) published in Chemistry of Materials
  • Separation of quadrupolar and paramagnetic shift interactions with TOP-STMAS/MQMAS in solid-state lighting phosphors (2020) published in Magnetic Resonance in Chemistry

Michael Brady has collaborated frequently with a number of researchers. Notable co-authors include Jessica L. Andrews, Brent C. Melot, Kimberly A. See, Ash Kieran Clift, and David Dodwell.

Publication venues where Michael Brady's work has appeared multiple times reflect a range of scientific specialties. These venues include:

  • Chemistry of Materials
  • BMJ
  • The Lancet Digital Health
  • Journal of the American Chemical Society
  • ACS Energy Letters

Best Publications

  • IMPROVED OPTIMIZATION FOR THE ROBUST AND ACCURATE LINEAR REGISTRATION AND MOTION CORRECTION OF BRAIN IMAGES

    Mark Jenkinson;Peter R. Bannister;Peter R. Bannister;Michael Brady;Stephen M. Smith

  • Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

    Y. Zhang;M. Brady;S. Smith

  • SUSAN—A New Approach to Low Level Image Processing

    Stephen M. Smith;J. Michael Brady

  • Temporal autocorrelation in univariate linear modeling of FMRI data.

    Mark W. Woolrich;Brian D. Ripley;J. Michael Brady;Stephen M. Smith

  • Saliency, Scale and Image Description

    Timor Kadir;Michael Brady

  • MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration

    Mattias P. Heinrich;Mark Jenkinson;Manav Bhushan;Tahreema Matin

  • An Affine Invariant Salient Region Detector

    Timor Kadir;Andrew Zisserman;Michael Brady

  • Removal of FMRI environment artifacts from EEG data using optimal basis sets.

    R K Niazy;C F Beckmann;G D Iannetti;G D Iannetti;J M Brady

  • MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration

    Matthias Hofmann;Florian Steinke;Verena Scheel;Guillaume Charpiat

  • Estimating the bias field of MR images

    R. Guillemaud;M. Brady

  • Novelty detection for the identification of masses in mammograms

    L. Tarassenko;P. Hayton;N. Cerneaz;M. Brady

  • Real-time corner detection algorithm for motion estimation

    Han Wang;Michael Brady

  • MRF-Based Deformable Registration and Ventilation Estimation of Lung CT

    H. P. Heinrich;M. Jenkinson;M. Brady;J. A. Schnabel

  • Robust breast composition measurement - Volpara™

    Ralph Highnam;Sir Michael Brady;Martin J. Yaffe;Nico Karssemeijer

  • Estimation of the partial volume effect in MRI.

    Miguel Ángel González Ballester;Andrew P. Zisserman;Michael Brady

  • Non-local shape descriptor: a new similarity metric for deformable multi-modal registration

    Mattias P. Heinrich;Mark Jenkinson;Manav Bhushan;Tahreema Matin

  • Segmentation of ultrasound B-mode images with intensity inhomogeneity correction

    Guofang Xiao;M. Brady;J.A. Noble;Yongyue Zhang

  • 3D motion recovery via affine epipolar geometry

    Larry S. Shapiro;Andrew Zisserman;Michael Brady

  • A Linguistic Feature Vector for the Visual Interpretation of Sign Language

    Richard Bowden;Richard Bowden;David Windridge;Timor Kadir;Andrew Zisserman

  • Phase mutual information as a similarity measure for registration

    Matthew Mellor;Michael Brady

  • Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities.

    Mattias Paul Heinrich;Mark Jenkinson;Bartlomiej W. Papież;Sir Michael Brady

  • Bayesian Networks for Clinical Decision Support in Lung Cancer Care

    M Berkan Sesen;Ann Elizabeth Nicholson;Rene Banares-Alcantara;Timor Kadir

  • Analysis of dynamic MR breast images using a model of contrast enhancement

    Paul M. Hayton;Michael Brady;Lionel Tarassenko;Niall Moore

  • On the Choice of Band-Pass Quadrature Filters

    Djamal Boukerroui;J. Alison Noble;Michael Brady

Frequent Co-Authors

Huosheng Hu
Huosheng Hu University of Essex
Julia A. Schnabel
Julia A. Schnabel King's College London
Andrew Zisserman
Andrew Zisserman University of Oxford
J. Alison Noble
J. Alison Noble University of Oxford
Kostas Marias
Kostas Marias Foundation for Research and Technology Hellas
Roger N. Gunn
Roger N. Gunn Imperial College London
Mark Jenkinson
Mark Jenkinson University of Oxford
Stephen M. Smith
Stephen M. Smith University of Oxford
Ling Shao
Ling Shao Terminus International
Ian Reid
Ian Reid University of Adelaide

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