Mark Jenkinson

122.4k citations
252 papers · 84.0k · 24 hit papers · h-index 75

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • EEG and Brain-Computer Interfaces
    • Advanced Neuroimaging Techniques and Applications
    • Advanced MRI Techniques and Applications

Papers in

Mark Jenkinson

246 papers receiving 83.2k citations

Mark Jenkinson's Hit Papers

A multi-modal parcellation of human cerebral cortex 2016 · 3.2k citations
3.2k0+6+13Years since publication2.5k5.0k7.5k

Peers

Mark Jenkinson
Comparison fields: 5 of 204
  • Cognitive Neuroscience 39.0k
  • Radiology, Nuclear Medicine and Imaging 33.4k
  • Computational Mathematics 384
  • Psychiatry and Mental health 8.0k
  • Neurology 4.5k
Replace Timothy E.J. Behrens with:
Timothy E.J. Behrens United Kingdom
Paul M. Matthews United Kingdom
Heidi Johansen‐Berg United Kingdom
Christian F. Beckmann United Kingdom
Stephen M. Smith United Kingdom
Alan C. Evans Canada
John Ashburner United Kingdom
Bruce Fischl United States
Mark W. Woolrich United Kingdom
Arthur W. Toga United States
Mark Jenkinson relative to Timothy E.J. Behrens United Kingdom Timothy E.J. Behrens's profile →
Citations per field
00.5×1.5×
Timothy E.J. Behrens · 1×
Citations per year

Countries citing papers authored by Mark Jenkinson

Since Specialization
Citations

This map shows the geographic impact of Mark Jenkinson'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 Mark Jenkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Jenkinson more than expected).

Fields of papers citing papers by Mark Jenkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Jenkinson. 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 Mark Jenkinson. The network helps show where Mark Jenkinson may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Jenkinson, 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 Mark Jenkinson Line = papers co-authored together Mark Jenkinson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 252 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advances in functional and structural MR image analysis and implementation as FSL
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200411074
2
FSL
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20118378
3
Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
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20028297
4
Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
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20028244
5
A global optimisation method for robust affine registration of brain images
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20015694
6
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
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20065441
7
The minimal preprocessing pipelines for the Human Connectome Project
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20133495
8
A multi-modal parcellation of human cerebral cortex
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20163192
9
Characterization and propagation of uncertainty in diffusion‐weighted MR imaging
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20032559
10
Bayesian analysis of neuroimaging data in FSL
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20081980
11
A Bayesian model of shape and appearance for subcortical brain segmentation
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20111849
12
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
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20091784
13
Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
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20021743
14
Multilevel linear modelling for FMRI group analysis using Bayesian inference
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20041395
15
General multilevel linear modeling for group analysis in FMRI
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20031253
16
Functional connectomics from resting-state fMRI
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2013726
17
The Human Connectome Project's neuroimaging approach
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2016709
18
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
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2013677
19
Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia
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2007658
20
Temporally-independent functional modes of spontaneous brain activity
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2012601

About Mark Jenkinson

Mark Jenkinson is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Pathology and Forensic Medicine and Neurology, having authored 252 papers that have together received 84.0k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (76 papers), Advanced MRI Techniques and Applications (67 papers), Functional Brain Connectivity Studies (67 papers), Medical Image Segmentation Techniques (50 papers), Multiple Sclerosis Research Studies (22 papers), Medical Imaging Techniques and Applications (19 papers), Dementia and Cognitive Impairment Research (14 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). The work is most often cited by research in Cognitive Neuroscience (39.0k citations), Radiology, Nuclear Medicine and Imaging (33.4k citations), Computational Mathematics (384 citations), Psychiatry and Mental health (8.0k citations) and Neurology (4.5k citations). Mark Jenkinson has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Stephen M. Smith, Timothy E.J. Behrens, Christian F. Beckmann, Mark W. Woolrich, Peter Bannister, Michael Brady, Paul M. Matthews, Heidi Johansen‐Berg, Nicola De Stefano and Jesper Andersson. Their work appears in journals such as NeuroImage, Human Brain Mapping, Magnetic Resonance in Medicine, Medical Image Analysis and Brain.

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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