World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
32
Citations
5119
World Ranking
3161
National Ranking
208

Computer Science

D-Index
33
Citations
6489
World Ranking
12479
National Ranking
791

Dirk Husmeier publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Dirk Husmeier sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 198 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Dirk Husmeier D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Dirk Husmeier sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 32 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Dirk Husmeier is affiliated with the University of Glasgow in the United Kingdom. Their research primarily spans the field of Medicine, with a strong focus on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, and Control and Systems Engineering.

The scientist's research topics include:

  • Cardiovascular Function and Risk Factors
  • Gaussian Processes and Bayesian Inference
  • Elasticity and Material Modeling
  • Probabilistic and Robust Engineering Design
  • Model Reduction and Neural Networks
  • Control Systems and Identification
  • Advanced MRI Techniques and Applications

Recent papers authored or co-authored by Dirk Husmeier are:

  • The Fully Convolutional Transformer for Medical Image Segmentation, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • COVID-19 - exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study, 2020, Wellcome Open Research
  • COVID-19 - exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study, 2021, Wellcome Open Research
  • Rationale and design of the Medical Research Council's Precision Medicine with Zibotentan in Microvascular Angina (PRIZE) trial, 2020, American Heart Journal
  • Physics-informed graph neural network emulation of soft-tissue mechanics, 2023, Computer Methods in Applied Mechanics and Engineering

Co-authors frequently collaborating with Dirk Husmeier include:

  • Hao Gao
  • David R. Dalton
  • L. Mihaela Păun
  • Mette S. Olufsen
  • Colin Berry

The scientist has published extensively in the following venues:

  • Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA...)
  • Wellcome Open Research
  • Computer Methods in Applied Mechanics and Engineering
  • arXiv (Cornell University)
  • SSRN Electronic Journal

Best Publications

  • TOPALi v2

    Iain Milne;Dominik Lindner;Micha Bayer;Dirk Husmeier

  • Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks.

    Dirk Husmeier

  • TOPALi: software for automatic identification of recombinant sequences within DNA multiple alignments

    Iain Milne;Frank Wright;Glenn Rowe;David F. Marshall

  • Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks

    Adriano V. Werhli;Marco Grzegorczyk;Dirk Husmeier

  • Bayesian approaches to Gaussian mixture modeling

    S.J. Roberts;D. Husmeier;I. Rezek;W. Penny

  • Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge

    Adriano V Werhli;Dirk Husmeier

  • Probabilistic Modeling in Bioinformatics and Medical Informatics

    Dirk Husmeier;Richard Dybowski;Stephen Roberts

  • Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move

    Marco Grzegorczyk;Dirk Husmeier

  • COVID-19 - exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study

    Peter Hanlon;Fergus Chadwick;Anoop Shah;Rachael Wood

  • The Fully Convolutional Transformer for Medical Image Segmentation

    Unknown

  • ODE parameter inference using adaptive gradient matching with Gaussian processes

    Frank Dondelinger;Dirk Husmeier;Simon Rogers;Maurizio Filippone

  • Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure

    Frank Dondelinger;Sophie Lèbre;Dirk Husmeier

  • Improvements in the reconstruction of time-varying gene regulatory networks

    Marco Grzegorczyk;Dirk Husmeier

  • Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler

    Marco Grzegorczyk;Dirk Husmeier;Kieron D. Edwards;Peter Ghazal

  • Non-stationary continuous dynamic Bayesian networks

    Marco Grzegorczyk;Dirk Husmeier

  • Detecting Recombination in 4-Taxa DNA Sequence Alignments with Bayesian Hidden Markov Models and Markov Chain Monte Carlo

    Dirk Husmeier;Gráinne McGuire

  • Non-homogeneous dynamic Bayesian networks for continuous data

    Marco Grzegorczyk;Dirk Husmeier

  • Reverse engineering of genetic networks with Bayesian networks.

    D. Husmeier

  • Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods

    Ali Faisal;Frank Dondelinger;Dirk Husmeier;Colin M. Beale

  • GENE REGULATORY NETWORK RECONSTRUCTION BY BAYESIAN INTEGRATION OF PRIOR KNOWLEDGE AND/OR DIFFERENT EXPERIMENTAL CONDITIONS

    Adriano Velasque Werhli;Dirk Husmeier

  • Discussion on the paper by Handcock, Raftery and Tantrum

    Tom A. B. Snijders;Tony Robinson;Anthony C. Atkinson;Marco Riani

  • Clustering objects on subsets of attributes

    DJ Hand;C Glasbey;D Husmeier;JC Gower

Frequent Co-Authors

Colin Berry
Colin Berry University of Glasgow
Jason Matthiopoulos
Jason Matthiopoulos University of Glasgow
Stephen J. Roberts
Stephen J. Roberts University of Oxford
Juan Manuel Morales
Juan Manuel Morales National University of Comahue
William D. Penny
William D. Penny University of East Anglia
Robert H. Insall
Robert H. Insall University of Glasgow
Andrew J. Millar
Andrew J. Millar University of Edinburgh
Colin M. Beale
Colin M. Beale University of York
Kaspar Althoefer
Kaspar Althoefer Queen Mary University of London
David Marshall
David Marshall James Hutton Institute

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