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Marc Modat

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 55 2952 2823 187 173 287 13738

Marc Modat publications per year

The chart shows the history of publications by Marc Modat between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Marc Modat published across 18 years, from 2008 to 2025, averaging 25.1 papers a year. Output peaked at 51 publications in 2021. 33 of the 452 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 51. Peak 51 publications in 2021. 2008: 3 publications 2009: 7 publications 2010: 16 publications 2011: 29 publications 2012: 38 publications 2013: 25 publications 2014: 25 publications 2015: 39 publications 2016: 20 publications 2017: 23 publications 2018: 34 publications 2019: 31 publications 2020: 37 publications 2021: 51 publications 2022: 23 publications 2023: 18 publications 2024: 16 publications 2025: 17 publications
2008 2025

452 publications in total across all disciplines

View publications per year as a table
Marc Modat: publications per year, 2008 to 2025
Year Publications
2008 3
2009 7
2010 16
2011 29
2012 38
2013 25
2014 25
2015 39
2016 20
2017 23
2018 34
2019 31
2020 37
2021 51
2022 23
2023 18
2024 16
2025 17
Total 452
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 278–287 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242 287
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 55 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186 55
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

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

External Links

Personal website of Marc Modat Google Scholar page

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Best Scientists Citing Marc Modat

Sebastien Ourselin

Sebastien Ourselin

King's College London

Publications: 295

Frederik Barkhof

Frederik Barkhof

University College London

Publications: 121

Nick C. Fox

Nick C. Fox

University College London

Publications: 108

Daniel C. Alexander

Daniel C. Alexander

University College London

Publications: 104

Jonathan D. Rohrer

Jonathan D. Rohrer

University College London

Publications: 92

Jonathan M. Schott

Jonathan M. Schott

University College London

Publications: 79

John S. Duncan

John S. Duncan

University College London

Publications: 79

Tom Vercauteren

Tom Vercauteren

King's College London

Publications: 79

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 73

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 71

Claudia A. M. Wheeler-Kingshott

Claudia A. M. Wheeler-Kingshott

University College London

Publications: 64

Jason D. Warren

Jason D. Warren

University College London

Publications: 63

James B. Rowe

James B. Rowe

University of Cambridge

Publications: 59

Henrik Zetterberg

Henrik Zetterberg

University of Gothenburg

Publications: 56

Olga Ciccarelli

Olga Ciccarelli

University College London

Publications: 55

Brian Hutton

Brian Hutton

Ottawa Hospital

Publications: 52

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