John Ashburner

84.2k citations
196 papers · 61.5k · 27 hit papers · h-index 83

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Neurobiology of Language and Bilingualism
    • Advanced Neuroimaging Techniques and Applications
    • Advanced MRI Techniques and Applications

Papers in

John Ashburner

194 papers receiving 60.4k citations

John Ashburner's Hit Papers

The first step for neuroimaging data analysis: DICOM to NIfTI conversion 2016 · 615 citations
6150+8+16Years since publication2.0k4.0k6.0k

Peers

John Ashburner
Comparison fields: 5 of 209
  • Cognitive Neuroscience 29.7k
  • Radiology, Nuclear Medicine and Imaging 16.5k
  • Psychiatry and Mental health 10.1k
  • Neurology 4.2k
  • Neurology 4.8k
Replace Timothy E.J. Behrens with:
Timothy E.J. Behrens United Kingdom
Steven Williams United Kingdom
Mark Jenkinson United Kingdom
Arthur W. Toga United States
Paul M. Matthews United Kingdom
Bruce R. Rosen United States
Paul M. Thompson United States
Peter T. Fox United States
Christian F. Beckmann United Kingdom
Abraham Z. Snyder United States
John Ashburner relative to Timothy E.J. Behrens United Kingdom Timothy E.J. Behrens's profile →
Citations per field
00.5×1.5×1.8×
Timothy E.J. Behrens · 1×
Citations per year

Countries citing papers authored by John Ashburner

Since Specialization
Citations

This map shows the geographic impact of John Ashburner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Ashburner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ashburner more than expected).

Fields of papers citing papers by John Ashburner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Ashburner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Ashburner. The network helps show where John Ashburner may publish in the future.

Co-authors

The 25 scholars most cited alongside John Ashburner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Ashburner Line = papers co-authored together John Ashburner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Voxel-Based Morphometry—The Methods
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20006936
2
A fast diffeomorphic image registration algorithm
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20076470
3
Unified segmentation
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20056246
4
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
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20013866
5
Spatial registration and normalization of images
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19953235
6
Statistical Parametric Mapping: The Analysis of Functional Brain Images
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20072487
7
How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging
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20032400
8
Navigation-related structural change in the hippocampi of taxi drivers
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20001973
9
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
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20091680
10
Nonlinear spatial normalization using basis functions
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19991579
11
Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains
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2001977
12
Automatic classification of MR scans in Alzheimer's disease
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2008881
13
Multimodal Image Coregistration and Partitioning—A Unified Framework
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1997782
14
Modeling Geometric Deformations in EPI Time Series
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2001780
15
Spatial Normalization of Brain Images with Focal Lesions Using Cost Function Masking
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2001764
16
A voxel-based morphometry study of semantic dementia: Relationship between temporal lobe atrophy and semantic memory
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2000730
17
Voxel-Based Morphometry of the Human Brain: Methods and Applications
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2005691
18
Structural plasticity in the bilingual brain
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2004665
19
Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution
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2003652
20
The first step for neuroimaging data analysis: DICOM to NIfTI conversion
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2016615

About John Ashburner

John Ashburner is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Psychiatry and Mental health and Artificial Intelligence, having authored 196 papers that have together received 61.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (56 papers), Advanced Neuroimaging Techniques and Applications (52 papers), Advanced MRI Techniques and Applications (41 papers), Medical Image Segmentation Techniques (28 papers), Medical Imaging Techniques and Applications (16 papers), Morphological variations and asymmetry (16 papers), Dementia and Cognitive Impairment Research (14 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Cognitive Neuroscience (29.7k citations), Radiology, Nuclear Medicine and Imaging (16.5k citations), Psychiatry and Mental health (10.1k citations), Neurology (4.2k citations) and Neurology (4.8k citations). John Ashburner has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Karl Friston, R. S. J. Frackowiak, Catriona D. Good, Ingrid S. Johnsrude, Jesper Andersson, Richard N. Henson, W.D. Penny, Chris Frith, Stefan Skare and Stefan J. Kiebel. Their work appears in journals such as NeuroImage, Human Brain Mapping, Brain, NeuroImage Clinical and Neurology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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