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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 96 182 172 15 14 253 100737

John Ashburner publications per year

The chart shows the history of publications by John Ashburner between 1990 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John Ashburner published across 36 years, from 1990 to 2025, averaging 8.7 papers a year. Output peaked at 22 publications in 2009. 17 of the 313 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1990 to 2025. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2009. 1990: 1 publication 1991: 2 publications 1992: 0 publications 1993: 2 publications 1994: 3 publications 1995: 4 publications 1996: 7 publications 1997: 10 publications 1998: 9 publications 1999: 15 publications 2000: 21 publications 2001: 18 publications 2002: 12 publications 2003: 7 publications 2004: 6 publications 2005: 6 publications 2006: 3 publications 2007: 12 publications 2008: 15 publications 2009: 22 publications 2010: 4 publications 2011: 9 publications 2012: 7 publications 2013: 14 publications 2014: 8 publications 2015: 10 publications 2016: 5 publications 2017: 9 publications 2018: 11 publications 2019: 10 publications 2020: 6 publications 2021: 16 publications 2022: 6 publications 2023: 6 publications 2024: 9 publications 2025: 8 publications
1990 2025

313 publications in total across all disciplines

View publications per year as a table
John Ashburner: publications per year, 1990 to 2025
Year Publications
1990 1
1991 2
1992 0
1993 2
1994 3
1995 4
1996 7
1997 10
1998 9
1999 15
2000 21
2001 18
2002 12
2003 7
2004 6
2005 6
2006 3
2007 12
2008 15
2009 22
2010 4
2011 9
2012 7
2013 14
2014 8
2015 10
2016 5
2017 9
2018 11
2019 10
2020 6
2021 16
2022 6
2023 6
2024 9
2025 8
Total 313
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John Ashburner publications per year - data summary

  • John Ashburner, a Engineering and Technology scholar from University College London, has 313 publications recorded across 36 years, from 1990 to 2025.
  • The oldest publication on record dates to 1990 and the most recent to 2025.
  • The most productive year is 2009, with 22 publications.
  • The least productive year with any output is 1990, with 1 publication.
  • 1 of the 36 years in the span carries no publications at all (1992).
  • The rate of publication averages 8.7 papers per year over the whole span, or 8.9 per year counting only the 35 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 45 publications, 14% of the career total.
  • Split into equal eras - 1990-2001: 92 publications (7.7 per year); 2002-2013: 117 publications (9.8 per year); 2014-2025: 104 publications (8.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is broadly steady.

John Ashburner 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 John Ashburner 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, 248–257 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: 253 publications — 65th percentile

65% 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
248–257 280 253
258–267 240
268–277 214
278–287 242
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
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John Ashburner publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • John Ashburner, a Engineering and Technology scholar from University College London, records 253 publications - the 65th percentile of the discipline.
  • 65% of ranked Engineering and Technology scientists score the same or lower than John Ashburner, and about 35% score higher.
  • The median of the discipline falls in the 198–207 publications range, and John Ashburner ranks above the median.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 804 publications or more, 100 scientists in all (1% of the field).

John Ashburner 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 John Ashburner 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, 96 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: 96 D-Index — 98th percentile

98% 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
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 96
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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John Ashburner D-index placement in Engineering and Technology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • John Ashburner, a Engineering and Technology scholar from University College London, records 96 D-Index - the 98th percentile of the discipline.
  • 98% of ranked Engineering and Technology scientists score the same or lower than John Ashburner, and about 2% score higher.
  • The median of the discipline falls in the 47 D-Index range, and John Ashburner ranks above the median.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 107 D-Index or more, 99 scientists in all (1% of the field).

Overview

John Ashburner is affiliated with University College London in the United Kingdom. Their research spans multiple domains within medicine and computer science, emphasizing advanced neuroimaging and computational techniques.

The main fields of study for Ashburner include Medicine (66 publications) and Computer Science (38 publications). Their subfields of study focus mainly on Radiology, Nuclear Medicine and Imaging (36 publications), Computer Vision and Pattern Recognition (28 publications), Cognitive Neuroscience (11 publications), Artificial Intelligence (10 publications), and Neurology (8 publications).

Major research topics covered in Ashburner's work include:

  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Functional Brain Connectivity Studies
  • Generative Adversarial Networks and Image Synthesis
  • Brain Tumor Detection and Classification
  • AI in cancer detection

Recent publications illustrate a focus on brain imaging, statistical methods, and neuroimaging applications in clinical contexts. Some notable papers include:

  • Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models, 2022, Medical Image Analysis
  • Restoring statistical validity in group analyses of motion-corrupted MRI data, 2022, Human Brain Mapping
  • Efficacy of spoken word comprehension therapy in patients with chronic aphasia: a cross-over randomised controlled trial with structural imaging, 2020, Journal of Neurology Neurosurgery & Psychiatry
  • A Symmetric Prior for the Regularisation of Elastic Deformations: Improved anatomical plausibility in nonlinear image registration, 2020, NeuroImage
  • Ventralis intermedius nucleus anatomical variability assessment by MRI structural connectivity, 2021, NeuroImage

Ashburner frequently publishes in venues such as arXiv (Cornell University) with 13 publications, NeuroImage (5), bioRxiv (Cold Spring Harbor Laboratory) with 3, Alzheimer's & Dementia (3), and Medical Image Analysis (2).

Collaboration is an important aspect of Ashburner's research profile. Frequent co-authors include Mikael Brudfors, Parashkev Nachev, Yaël Balbastre, M. Jorge Cardoso, and Sébastien Ourselin. These collaborations appear across various projects and publications, indicating an interdisciplinary approach.

Best Publications

  • Voxel-Based Morphometry—The Methods

    John Ashburner;Karl J. Friston

  • A fast diffeomorphic image registration algorithm

    John Ashburner

  • Unified segmentation

    Unknown

  • A voxel-based morphometric study of ageing in 465 normal adult human brains.

    Catriona D. Good;Ingrid S. Johnsrude;John Ashburner;Richard N.A. Henson;Richard N.A. Henson

  • A voxel-based morphometric study of ageing in 465 normal adult human brains

    C.D. Good;I.S. Johnsrude;J. Ashburner;R.N.A. Henson

  • Statistical Parametric Mapping: The Analysis of Functional Brain Images

    W Penny;K Friston;J Ashburner;S Kiebel

  • Spatial registration and normalization of images

    Karl. J. Friston;J. Ashburner;C. D. Frith;J.-B. Poline

  • Navigation-related structural change in the hippocampi of taxi drivers

    Eleanor A. Maguire;David G. Gadian;Ingrid S. Johnsrude;Catriona D. Good

  • How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging

    Jesper L.R. Andersson;Stefan Skare;John Ashburner

  • 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

  • Nonlinear spatial normalization using basis functions

    John Ashburner;Karl J. Friston

  • Cerebral asymmetry and the effects of sex and handedness on brain structure: a voxel-based morphometric analysis of 465 normal adult human brains.

    Catriona D. Good;Ingrid S. Johnsrude;John Ashburner;Richard N. A. Henson;Richard N. A. Henson

  • Automatic classification of MR scans in Alzheimer's disease

    Stefan Klöppel;Cynthia M. Stonnington;Carlton Chu;Bogdan Draganski

  • Multimodal Image Coregistration and Partitioning—A Unified Framework

    J Ashburner;K Friston

  • Modeling Geometric Deformations in EPI Time Series

    Jesper L.R. Andersson;Chloe Hutton;John Ashburner;Robert Turner

  • Why voxel-based morphometry should be used.

    John Ashburner;Karl J. Friston

  • Spatial normalization of brain images with focal lesions using cost function masking.

    Matthew Brett;Alexander P. Leff;Chris Rorden;John Ashburner

  • The first step for neuroimaging data analysis: DICOM to NIfTI conversion

    Xiangrui Li;Paul S. Morgan;John Ashburner;Jolinda Smith

  • Neurolinguistics: structural plasticity in the bilingual brain.

    Andrea Mechelli;Jenny T. Crinion;Uta Noppeney;John O'Doherty

  • Image Distortion Correction in fMRI: A Quantitative Evaluation

    Chloe Hutton;Andreas Bork;Oliver Josephs;Ralf Deichmann

  • Variational free energy and the Laplace approximation

    Karl J. Friston;Jérémie Mattout;Nelson J. Trujillo-Barreto;John Ashburner

  • Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution.

    Darren R. Gitelman;William D. Penny;John Ashburner;Karl J. Friston

Frequent Co-Authors

Karl J. Friston
Karl J. Friston University College London
Richard S. J. Frackowiak
Richard S. J. Frackowiak École Polytechnique Fédérale de Lausanne
Bogdan Draganski
Bogdan Draganski University Hospital of Bern
Nikolaus Weiskopf
Nikolaus Weiskopf Max Planck Society
Cathy J. Price
Cathy J. Price University College London
Janaina Mourao-Miranda
Janaina Mourao-Miranda University College London
Antoine Lutti
Antoine Lutti University of Lausanne
Patrick Freund
Patrick Freund University of Zurich
Sebastien Ourselin
Sebastien Ourselin King's College London
Robert Turner
Robert Turner Max Planck Society

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