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Mark Jenkinson

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 97 811 729 93 85 321 120297

Mark Jenkinson publications per year

The chart shows the history of publications by Mark Jenkinson between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mark Jenkinson published across 28 years, from 1998 to 2025, averaging 13.9 papers a year. Output peaked at 37 publications in 2021. 24 of the 388 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1998 to 2025. Vertical axis: number of publications, 0 to 37. Peak 37 publications in 2021. 1998: 1 publication 1999: 1 publication 2000: 5 publications 2001: 9 publications 2002: 7 publications 2003: 10 publications 2004: 11 publications 2005: 7 publications 2006: 10 publications 2007: 10 publications 2008: 6 publications 2009: 9 publications 2010: 11 publications 2011: 18 publications 2012: 22 publications 2013: 23 publications 2014: 16 publications 2015: 13 publications 2016: 23 publications 2017: 19 publications 2018: 16 publications 2019: 20 publications 2020: 21 publications 2021: 37 publications 2022: 23 publications 2023: 16 publications 2024: 11 publications 2025: 13 publications
1998 2025

388 publications in total across all disciplines

View publications per year as a table
Mark Jenkinson: publications per year, 1998 to 2025
Year Publications
1998 1
1999 1
2000 5
2001 9
2002 7
2003 10
2004 11
2005 7
2006 10
2007 10
2008 6
2009 9
2010 11
2011 18
2012 22
2013 23
2014 16
2015 13
2016 23
2017 19
2018 16
2019 20
2020 21
2021 37
2022 23
2023 16
2024 11
2025 13
Total 388
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Mark Jenkinson publication distribution in Neuroscience in 2026

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

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 318–327 publications, is where this scientist sits. 38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 321 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99 321
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

Mark Jenkinson D-index placement in Neuroscience in 2026

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

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 96–97 D-Index, is where this scientist sits. 30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30–31 D-Index 163+

This scientist: 97 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76 97
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

Overview

Mark Jenkinson is affiliated with the University of Oxford in the United Kingdom. Their research primarily intersects Medicine and Computer Science, with major contributions in Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Artificial Intelligence.

The scientist's research focuses on several main topics including:

  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Medical Image Segmentation Techniques
  • Fetal and Pediatric Neurological Disorders
  • Acute Ischemic Stroke Management
  • Radiomics and Machine Learning in Medical Imaging
  • Dementia and Cognitive Impairment Research

Mark Jenkinson's recent publications span from 2020 to 2022 and cover areas related to neuroimaging and medical data analysis. Some notable papers include:

  • "Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge" (2021) published in EClinicalMedicine
  • "The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants" (2020) published in NeuroImage
  • "The Developing Human Connectome Project Neonatal Data Release" (2022) published in Frontiers in Neuroscience
  • "Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal" (2020) published in NeuroImage
  • "Learning patterns of the ageing brain in MRI using deep convolutional networks" (2020) published in NeuroImage

Mark Jenkinson has collaborated frequently with notable coauthors including Ludovica Griffanti, Nicola K. Dinsdale, Ana I. L. Namburete, Vaanathi Sundaresan, and Giovanna Zamboni, reflecting interdisciplinary teamwork within neuroimaging and computational analysis fields.

Their work has been published in a variety of prominent venues, with the most frequent outlets being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • NeuroImage
  • Human Brain Mapping
  • Medical Image Analysis

Best Publications

  • Advances in functional and structural MR image analysis and implementation as FSL.

    S M Smith;M Jenkinson;M W Woolrich;M W Woolrich;C F Beckmann

  • 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

  • New advances in the Clinica software platform for clinical neuroimaging studies

    Alexandre Routier;Arnaud Marcoux;Mauricio Diaz Melo;Jérémy Guillon

  • A global optimisation method for robust affine registration of brain images

    Mark Jenkinson;Stephen M. Smith

  • Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

    S M Smith;M Jenkinson;H Johansen-Berg;D Rueckert

  • The minimal preprocessing pipelines for the Human Connectome Project.

    Matthew F. Glasser;Stamatios N. Sotiropoulos;J. Anthony Wilson;Timothy S. Coalson

  • A multi-modal parcellation of human cerebral cortex

    Matthew F. Glasser;Timothy S. Coalson;Emma C. Robinson;Emma C. Robinson;Carl D. Hacker

  • Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

    Timothy E.J. Behrens;M. W. Woolrich;Mi Jenkinson;H. Johansen-Berg

  • Bayesian analysis of neuroimaging data in FSL.

    Mark William Woolrich;Saâd Jbabdi;Brian Patenaude;Michael A. Chappell

  • Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

    Arno Klein;Jesper L. R. Andersson;Babak A. Ardekani;Babak A. Ardekani;John Ashburner

  • A Bayesian model of shape and appearance for subcortical brain segmentation

    Brian Patenaude;Stephen M. Smith;David N. Kennedy;Mark Jenkinson

  • Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis

    Stephen M. Smith;Yongyue Zhang;Mark Jenkinson;Jacqueline Chen

  • Multimodal population brain imaging in the UK Biobank prospective epidemiological study

    Karla L Miller;Fidel Alfaro-Almagro;Neal K Bangerter;David L Thomas

  • Multilevel linear modelling for FMRI group analysis using Bayesian inference.

    Mark W. Woolrich;Mark W. Woolrich;Timothy Edward John Behrens;Timothy Edward John Behrens;Christian F. Beckmann;Christian F. Beckmann;Mark Jenkinson

  • General multilevel linear modeling for group analysis in FMRI.

    Christian F. Beckmann;Mark Jenkinson;Stephen M. Smith

  • Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.

    Fidel Alfaro-Almagro;Mark Jenkinson;Neal K. Bangerter;Jesper L. R. Andersson

  • The Human Connectome Project's neuroimaging approach

    Matthew F Glasser;Stephen M Smith;Daniel S Marcus;Jesper L R Andersson

  • Functional connectomics from resting-state fMRI

    S.M. Smith;D. Vidaurre;Christian Beckmann;Christian Beckmann;Christian Beckmann;M.F. Glasser

  • Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

    Stamatios N. Sotiropoulos;Saâd Jbabdi;Junqian Xu;Jesper L. R. Andersson

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia

    Gwenaëlle Douaud;Stephen Smith;Mark Jenkinson;Timothy Behrens

Frequent Co-Authors

Stephen M. Smith
Stephen M. Smith University of Oxford
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Paul M. Matthews
Paul M. Matthews Imperial College London
Karla L. Miller
Karla L. Miller University of Oxford
Clare E. Mackay
Clare E. Mackay University of Oxford
Christian F. Beckmann
Christian F. Beckmann Radboud University
Jesper L. R. Andersson
Jesper L. R. Andersson University of Oxford
Jacqueline Palace
Jacqueline Palace TU Dresden
Heidi Johansen-Berg
Heidi Johansen-Berg University of Oxford
Julia A. Schnabel
Julia A. Schnabel King's College London

External Links

Personal website of Mark Jenkinson Google Scholar page

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Best Scientists Citing Mark Jenkinson

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 459

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 333

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 330

Frederik Barkhof

Frederik Barkhof

University College London

Publications: 309

Massimo Filippi

Massimo Filippi

Vita-Salute San Raffaele University

Publications: 292

Stephen M. Smith

Stephen M. Smith

University of Oxford

Publications: 235

Christian F. Beckmann

Christian F. Beckmann

Radboud University

Publications: 234

Paul M. Matthews

Paul M. Matthews

Imperial College London

Publications: 234

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 224

Ole A. Andreassen

Ole A. Andreassen

Oslo University Hospital

Publications: 219

Michael P. Milham

Michael P. Milham

Child Mind Institute

Publications: 218

Neda Jahanshad

Neda Jahanshad

University of Southern California

Publications: 215

Robert Zivadinov

Robert Zivadinov

University at Buffalo, State University of New York

Publications: 188

Arthur W. Toga

Arthur W. Toga

University of Southern California

Publications: 185

Thomas E. Nichols

Thomas E. Nichols

University of Oxford

Publications: 185

David C. Glahn

David C. Glahn

Boston Children's Hospital

Publications: 180

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