World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
13738
World Ranking
2952
National Ranking
187

Marc Modat publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Marc Modat sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 287 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Marc Modat D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Marc Modat sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 55 D-Index — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Best Publications

  • Fast free-form deformation using graphics processing units

    Marc Modat;Gerard R. Ridgway;Zeike A. Taylor;Manja Lehmann

  • NiftyNet: a deep-learning platform for medical imaging

    Eli Gibson;Wenqi Li;Carole H. Sudre;Lucas Fidon

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • Weakly-supervised convolutional neural networks for multimodal image registration.

    Yipeng Hu;Yipeng Hu;Marc Modat;Eli Gibson;Wenqi Li

  • Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study.

    Michela Antonelli;Rose S Penfold;Jordi Merino;Carole H Sudre

  • Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies.

    Ninon Burgos;M. Jorge Cardoso;Kris Thielemans;Marc Modat

  • Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion

    M. Jorge Cardoso;Marc Modat;Robin Wolz;Andrew Melbourne

  • Global image registration using a symmetric block-matching approach

    Marc Modat;David M. Cash;Pankaj Daga;Gavin P. Winston

  • The importance of appropriate partial volume correction for PET quantification in Alzheimer's disease.

    Benjamin A. Thomas;Kjell Erlandsson;Marc Modat;Lennart Thurfjell

  • 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

  • STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation

    M. Jorge Cardoso;Kelvin Leung;Marc Modat;Shiva Keihaninejad

  • Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment

    Jonathan Young;Marc Modat;Manuel J. Cardoso;Alex Mendelson

  • Distinct profiles of brain atrophy in frontotemporal lobar degeneration caused by progranulin and tau mutations.

    Jonathan D. Rohrer;Gerard R. Ridgway;Gerard R. Ridgway;Marc Modat;Marc Modat;Sebastien Ourselin;Sebastien Ourselin

  • Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for "dose of the day" calculations.

    Catarina Veiga;Jamie McClelland;Syed Moinuddin;Ana Lourenço

  • 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

  • Brain MAPS: An automated, accurate and robust brain extraction technique using a template library

    Kelvin K. Leung;Josephine Barnes;Marc Modat;Gerard R. Ridgway

  • A Survey of Methods for 3D Histology Reconstruction.

    Jonas Pichat;Juan Eugenio Iglesias;Tarek A. Yousry;Sébastien Ourselin

  • Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app.

    Carole H. Sudre;Carole H. Sudre;Karla A. Lee;Mary Ni Lochlainn;Thomas Varsavsky

  • Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

    Zhoubing Xu;Christopher P. Lee;Mattias P. Heinrich;Marc Modat

  • Probable delirium is a presenting symptom of COVID-19 in frail, older adults: a cohort study of 322 hospitalised and 535 community-based older adults.

    Maria Beatrice Zazzara;Maria Beatrice Zazzara;Rose S Penfold;Amy L Roberts;Karla A Lee

  • Label-driven weakly-supervised learning for multimodal deformarle image registration

    Yipeng Hu;Marc Modat;Eli Gibson;Nooshin Ghavami

  • The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease

    Shiva Keihaninejad;Natalie S. Ryan;Ian B. Malone;Marc Modat

  • Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.

    Mostafa Mehdipour Ghazi;Mads Nielsen;Akshay Pai;M Jorge Cardoso

  • aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data.

    Christian J. Niedworok;Christian J. Niedworok;Alexander P. Y. Brown;Alexander P. Y. Brown;M. Jorge Cardoso;Pavel Osten

  • 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

  • Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm.

    Catarina Veiga;Ana Mónica Lourenço;Syed Mouinuddin;Marcel van Herk

  • AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI

    M. Jorge Cardoso;Andrew Melbourne;Giles S. Kendall;Marc Modat

  • A Nonlinear Biomechanical Model Based Registration Method for Aligning Prone and Supine MR Breast Images

    Lianghao Han;John H. Hipwell;Bjorn Eiben;Dean Barratt

  • Lung registration using the NiftyReg package

    Marc Modat;Jamie McClelland

  • Automatic Structural Parcellation of Mouse Brain MRI Using Multi-Atlas Label Fusion

    Da Ma;Manuel J. Cardoso;Marc Modat;Nick Powell

  • Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge

    David M. Cash;Chris Frost;Leonardo O. Iheme;Devrim Ünay

  • Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping

    Jon O. Cleary;Marc Modat;Francesca C. Norris;Francesca C. Norris;Anthony N. Price

  • Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer.

    Albert K. Hoang Duc;Gemma Eminowicz;Ruheena Mendes;Swee-Ling Wong

  • Using manifold learning for atlas selection in multi-atlas segmentation

    Albert K. Hoang Duc;Marc Modat;Kelvin K. Leung;M. Jorge Cardoso

Frequent Co-Authors

Sebastien Ourselin
Sebastien Ourselin King's College London
Nick C. Fox
Nick C. Fox University College London
Jonathan M. Schott
Jonathan M. Schott University College London
Tom Vercauteren
Tom Vercauteren King's College London
Tim D. Spector
Tim D. Spector King's College London
Benjamin J. Murray
Benjamin J. Murray University of Leeds
David J. Hawkes
David J. Hawkes University College London
Martin N. Rossor
Martin N. Rossor University College London
David L. Thomas
David L. Thomas Johns Hopkins University
Josephine Barnes
Josephine Barnes University College London

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