Stephen M. Smith

222.0k total citations · 63 hit papers
442 papers, 142.7k citations indexed

About

Stephen M. Smith is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stephen M. Smith has authored 442 papers receiving a total of 142.7k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Cognitive Neuroscience, 170 papers in Radiology, Nuclear Medicine and Imaging and 34 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stephen M. Smith's work include Functional Brain Connectivity Studies (183 papers), Advanced Neuroimaging Techniques and Applications (112 papers) and Advanced MRI Techniques and Applications (90 papers). Stephen M. Smith is often cited by papers focused on Functional Brain Connectivity Studies (183 papers), Advanced Neuroimaging Techniques and Applications (112 papers) and Advanced MRI Techniques and Applications (90 papers). Stephen M. Smith collaborates with scholars based in United Kingdom, United States and Netherlands. Stephen M. Smith's co-authors include Mark Jenkinson, Christian F. Beckmann, Timothy E.J. Behrens, Mark W. Woolrich, Thomas E. Nichols, Michael Brady, Paul M. Matthews, Peter Bannister, Heidi Johansen‐Berg and J. Michael Brady and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Stephen M. Smith

430 papers receiving 141.0k citations

Hit Papers

Advances in functional and structural MR image analysis a... 1997 2026 2006 2016 2004 2002 2002 2011 2001 2.5k 5.0k 7.5k 10.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Advances in functional and structural MR image analysis and implementation as FSL
    2004 10.8k citations Stephen M. Smith, Mark Jenkinson et al. NeuroImage profile →
  2. Fast robust automated brain extraction
    2002 8.5k citations Stephen M. Smith Human Brain Mapping profile →
  3. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
    2002 8.1k citations Mark Jenkinson, Peter Bannister et al. NeuroImage profile →
  4. FSL
    2011 8.0k citations Mark Jenkinson, Christian F. Beckmann et al. NeuroImage profile →
  5. A global optimisation method for robust affine registration of brain images
    2001 5.5k citations Mark Jenkinson, Stephen M. Smith profile →
  6. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
    2006 5.3k citations Stephen M. Smith, Mark Jenkinson et al. NeuroImage profile →
  7. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
    2001 5.2k citations Stephen M. Smith et al. IEEE Transactions on Medical Imaging profile →
  8. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference
    2008 4.1k citations Stephen M. Smith, Thomas E. Nichols NeuroImage profile →
  9. Correspondence of the brain's functional architecture during activation and rest
    2009 4.0k citations Stephen M. Smith, Karla L. Miller et al. Proceedings of the National Academy of Sciences profile →
  10. The WU-Minn Human Connectome Project: An overview
    2013 3.4k citations David C. Van Essen, Stephen M. Smith et al. NeuroImage profile →
  11. Consistent resting-state networks across healthy subjects
    2006 3.4k citations Stephen M. Smith, Christian F. Beckmann et al. Proceedings of the National Academy of Sciences profile →
  12. A multi-modal parcellation of human cerebral cortex
    2016 3.0k citations Matthew F. Glasser, Essa Yacoub et al. profile →
  13. Investigations into resting-state connectivity using independent component analysis
    2005 2.7k citations Christian F. Beckmann, Stephen M. Smith et al. profile →
  14. Permutation inference for the general linear model
    2014 2.5k citations Stephen M. Smith, Thomas E. Nichols et al. NeuroImage profile →
  15. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging
    2003 2.4k citations Timothy E.J. Behrens, Mark W. Woolrich et al. profile →
  16. SUSAN—A New Approach to Low Level Image Processing
    1997 2.3k citations Stephen M. Smith, J. Michael Brady profile →
  17. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
    2001 2.3k citations Mark W. Woolrich, Stephen M. Smith et al. NeuroImage profile →
  18. Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
    2004 2.1k citations Christian F. Beckmann, Stephen M. Smith IEEE Transactions on Medical Imaging profile →
  19. Bayesian analysis of neuroimaging data in FSL
    2008 1.9k citations Mark W. Woolrich, Saâd Jbabdi et al. NeuroImage profile →
  20. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
    2003 1.9k citations Timothy E.J. Behrens, Heidi Johansen‐Berg et al. Nature Neuroscience profile →
  21. A Bayesian model of shape and appearance for subcortical brain segmentation
    2011 1.8k citations Stephen M. Smith, Mark Jenkinson et al. NeuroImage profile →
  22. Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
    2002 1.7k citations Stephen M. Smith, Yongyue Zhang et al. NeuroImage profile →
  23. Network modelling methods for FMRI
    2010 1.4k citations Stephen M. Smith, Karla L. Miller et al. NeuroImage profile →
  24. Multilevel linear modelling for FMRI group analysis using Bayesian inference
    2004 1.4k citations Mark W. Woolrich, Timothy E.J. Behrens et al. NeuroImage profile →
  25. Distinct patterns of brain activity in young carriers of the APOE -ε4 allele
    2009 1.4k citations Stephen M. Smith, Paul M. Matthews et al. Proceedings of the National Academy of Sciences profile →
  26. Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
    2014 1.3k citations Christian F. Beckmann, Matthew F. Glasser et al. NeuroImage profile →
  27. General multilevel linear modeling for group analysis in FMRI
    2003 1.2k citations Christian F. Beckmann, Mark Jenkinson et al. NeuroImage profile →
  28. fMRI resting state networks define distinct modes of long-distance interactions in the human brain
    2005 980 citations Christian F. Beckmann, Nicola De Stefano et al. NeuroImage profile →
  29. Function in the human connectome: Task-fMRI and individual differences in behavior
    2013 978 citations Deanna M. Barch, Gregory C. Burgess et al. NeuroImage profile →
  30. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging
    2010 972 citations Stephen M. Smith, Karla L. Miller et al. profile →
  31. Reduced resting-state brain activity in the “default network” in normal aging
    2007 968 citations Christian F. Beckmann, Stephen M. Smith et al. profile →
  32. SARS-CoV-2 is associated with changes in brain structure in UK Biobank
    2022 912 citations Fidel Alfaro‐Almagro, Jesper Andersson et al. profile →
  33. ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
    2014 910 citations Ludovica Griffanti, Christian F. Beckmann et al. NeuroImage profile →
  34. Triangulating a Cognitive Control Network Using Diffusion-Weighted Magnetic Resonance Imaging (MRI) and Functional MRI
    2007 788 citations Timothy E.J. Behrens, Stephen M. Smith et al. profile →
  35. Behavioral Interpretations of Intrinsic Connectivity Networks
    2011 788 citations Christian F. Beckmann, Stephen M. Smith et al. profile →
  36. Metrics for measuring ideation effectiveness
    2003 749 citations Stephen M. Smith et al. profile →
  37. A critical review of the bioavailability and impacts of heavy metals in municipal solid waste composts compared to sewage sludge
    2008 704 citations Stephen M. Smith profile →
  38. Functional MRI : an introduction to methods
    2002 700 citations Paul M. Matthews, Stephen M. Smith et al. profile →
  39. Functional connectomics from resting-state fMRI
    2013 683 citations Stephen M. Smith, Christian F. Beckmann et al. profile →
  40. Phase I study of MRX34, a liposomal miR-34a mimic, administered twice weekly in patients with advanced solid tumors
    2016 682 citations Stephen M. Smith et al. profile →
  41. Investigating the electrophysiological basis of resting state networks using magnetoencephalography
    2011 680 citations Mark W. Woolrich, Stephen M. Smith et al. Proceedings of the National Academy of Sciences profile →
  42. The Human Connectome Project's neuroimaging approach
    2016 660 citations Matthew F. Glasser, Stephen M. Smith et al. Nature Neuroscience profile →
  43. Imaging how attention modulates pain in humans using functional MRI
    2002 660 citations Stephen M. Smith et al. profile →
  44. Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia
    2007 636 citations Stephen M. Smith, Mark Jenkinson et al. profile →
  45. Tools of the trade: psychophysiological interactions and functional connectivity
    2012 592 citations Mark W. Woolrich, Timothy E.J. Behrens et al. profile →
  46. Tensorial extensions of independent component analysis for multisubject FMRI analysis
    2005 577 citations Christian F. Beckmann, Stephen M. Smith NeuroImage profile →
  47. Temporally-independent functional modes of spontaneous brain activity
    2012 576 citations Stephen M. Smith, Karla L. Miller et al. Proceedings of the National Academy of Sciences profile →
  48. Homocysteine-Lowering by B Vitamins Slows the Rate of Accelerated Brain Atrophy in Mild Cognitive Impairment: A Randomized Controlled Trial
    2010 545 citations Stephen M. Smith et al. profile →
  49. A positive-negative mode of population covariation links brain connectivity, demographics and behavior
    2015 539 citations Stephen M. Smith, Thomas E. Nichols et al. Nature Neuroscience profile →
  50. Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex
    2004 539 citations Heidi Johansen‐Berg, Timothy E.J. Behrens et al. Proceedings of the National Academy of Sciences profile →
  51. Task-free MRI predicts individual differences in brain activity during task performance
    2016 521 citations Stephen M. Smith, Timothy E.J. Behrens et al. profile →
  52. Brain network dynamics are hierarchically organized in time
    2017 506 citations Stephen M. Smith, Mark W. Woolrich et al. Proceedings of the National Academy of Sciences profile →
  53. Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics
    2007 488 citations Stephen M. Smith, Heidi Johansen‐Berg et al. profile →
  54. Genome-wide association studies of brain imaging phenotypes in UK Biobank
    2018 429 citations Fidel Alfaro‐Almagro, Karla L. Miller et al. profile →
  55. DTI measures in crossing-fibre areas: Increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease
    2010 404 citations Saâd Jbabdi, Timothy E.J. Behrens et al. NeuroImage profile →
  56. MSM: A new flexible framework for Multimodal Surface Matching
    2014 393 citations Saâd Jbabdi, Matthew F. Glasser et al. NeuroImage profile →
  57. Evaluation of slice accelerations using multiband echo planar imaging at 3T
    2013 381 citations Stephen M. Smith, Essa Yacoub et al. NeuroImage profile →
  58. Hand classification of fMRI ICA noise components
    2016 370 citations Ludovica Griffanti, Janine Bijsterbosch et al. NeuroImage profile →
  59. Preventing Alzheimer’s disease-related gray matter atrophy by B-vitamin treatment
    2013 362 citations Thomas E. Nichols, Stephen M. Smith et al. Proceedings of the National Academy of Sciences profile →
  60. How reliable are MEG resting-state connectivity metrics?
    2016 302 citations Mark W. Woolrich, Stephen M. Smith et al. NeuroImage profile →
  61. Accurate brain age prediction with lightweight deep neural networks
    2020 269 citations Han Peng, Weikang Gong et al. profile →
  62. An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank
    2021 244 citations Stephen M. Smith, Fidel Alfaro‐Almagro et al. Nature Neuroscience profile →
  63. Estimation of brain age delta from brain imaging
    2019 230 citations Stephen M. Smith, Fidel Alfaro‐Almagro et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen M. Smith United Kingdom 131 83.3k 60.5k 16.5k 12.6k 12.2k 442 142.7k
Bruce Fischl United States 103 62.3k 0.7× 37.3k 0.6× 21.7k 1.3× 7.7k 0.6× 8.7k 0.7× 328 101.6k
Alan C. Evans Canada 157 59.8k 0.7× 30.5k 0.5× 17.9k 1.1× 6.4k 0.5× 10.2k 0.8× 711 100.3k
Mark Jenkinson United Kingdom 74 43.0k 0.5× 39.6k 0.7× 9.9k 0.6× 8.0k 0.6× 5.7k 0.5× 228 80.2k
Anders M. Dale United States 130 61.8k 0.7× 31.7k 0.5× 19.8k 1.2× 6.1k 0.5× 7.9k 0.6× 610 100.2k
Karl Friston United Kingdom 214 154.6k 1.9× 36.5k 0.6× 26.1k 1.6× 10.9k 0.9× 26.7k 2.2× 1.2k 207.0k
R. S. J. Frackowiak United Kingdom 166 70.5k 0.8× 20.4k 0.3× 17.3k 1.0× 13.4k 1.1× 10.8k 0.9× 544 110.1k
Paul M. Thompson United States 157 34.1k 0.4× 25.6k 0.4× 23.0k 1.4× 5.7k 0.5× 5.5k 0.5× 2.1k 119.5k
Paul M. Matthews United Kingdom 122 27.7k 0.3× 26.6k 0.4× 8.5k 0.5× 9.7k 0.8× 3.8k 0.3× 497 75.3k
Marcus E. Raichle United States 138 72.6k 0.9× 27.8k 0.5× 10.9k 0.7× 7.9k 0.6× 12.9k 1.1× 344 102.9k
Timothy E.J. Behrens United Kingdom 103 43.4k 0.5× 32.2k 0.5× 7.2k 0.4× 6.6k 0.5× 5.7k 0.5× 193 70.5k

Countries citing papers authored by Stephen M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Smith. 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 Stephen M. Smith. The network helps show where Stephen M. Smith may publish in the future.

Co-authorship network of co-authors of Stephen M. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Smith. A scholar is included among the top collaborators of Stephen M. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen M. Smith. Stephen M. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pretorius, Pieter, Celeste McCracken, Thomas E. Nichols, et al.. (2025). From Big Data to the Clinic: Methodological and Statistical Enhancements to Implement the UK Biobank Imaging Framework in a Memory Clinic. Human Brain Mapping. 46(3). e70151–e70151.
2.
Giunchiglia, Valentina, S. E. Curtis, Stephen M. Smith, Naomi E. Allen, & Adam Hampshire. (2024). Neural correlates of cognitive ability and visuo-motor speed: Validation of IDoCT on UK Biobank Data. Imaging Neuroscience. 2. 5 indexed citations
3.
Sun, Zihan, Bing Zhang, Stephen M. Smith, et al.. (2024). Structural correlations between brain magnetic resonance image‐derived phenotypes and retinal neuroanatomy. European Journal of Neurology. 31(7). e16288–e16288. 1 indexed citations
4.
Chen, Hongyan, Guirong Tan, Lijuan Zhong, et al.. (2024). MR perfusion characteristics of pseudoprogression in brain tumors treated with immunotherapy – a comparative study with chemo-radiation induced pseudoprogression and radiation necrosis. Journal of Neuro-Oncology. 172(1). 239–247. 2 indexed citations
5.
Gohil, Chetan, et al.. (2024). Stacking models of brain dynamics to improve prediction of subject traits in fMRI. Imaging Neuroscience. 2. 1–22. 1 indexed citations
6.
Zhao, Bingxin, Tengfei Li, Stephen M. Smith, et al.. (2022). Common variants contribute to intrinsic human brain functional networks. Nature Genetics. 54(4). 508–517. 69 indexed citations
7.
Gong, Weikang, et al.. (2022). Supervised Phenotype Discovery From Multimodal Brain Imaging. IEEE Transactions on Medical Imaging. 42(3). 834–849. 7 indexed citations
8.
Leonardsen, Esten H., Han Peng, Tobias Kaufmann, et al.. (2022). Deep neural networks learn general and clinically relevant representations of the ageing brain. NeuroImage. 256. 119210–119210. 68 indexed citations
9.
Elam, Jennifer Stine, Matthew F. Glasser, Michael P. Harms, et al.. (2021). The Human Connectome Project: A retrospective. NeuroImage. 244. 118543–118543. 127 indexed citations
10.
Hayashi, Takuya, Yujie Hou, Matthew F. Glasser, et al.. (2021). The nonhuman primate neuroimaging and neuroanatomy project. NeuroImage. 229. 117726–117726. 46 indexed citations
11.
Leser, Patrick E., Kira M. Pusch, Carolina Frey, et al.. (2021). Bayesian inference of elastic constants and texture coefficients in additively manufactured cobalt-nickel superalloys using resonant ultrasound spectroscopy. Acta Materialia. 220. 117287–117287. 22 indexed citations
12.
Taquet, Maxime, Stephen M. Smith, Anna K. Prohl, et al.. (2020). A structural brain network of genetic vulnerability to psychiatric illness. Molecular Psychiatry. 26(6). 2089–2100. 27 indexed citations
13.
Chua, Sharon, Gerassimos Lascaratos, Denize Atan, et al.. (2020). Relationships between retinal layer thickness and brain volumes in the UK Biobank cohort. European Journal of Neurology. 28(5). 1490–1498. 33 indexed citations
14.
Alnæs, Dag, Tobias Kaufmann, André F. Marquand, Stephen M. Smith, & Lars T. Westlye. (2020). Patterns of sociocognitive stratification and perinatal risk in the child brain. Proceedings of the National Academy of Sciences. 117(22). 12419–12427. 45 indexed citations
15.
Bijsterbosch, Janine, Samuel J. Harrison, Saâd Jbabdi, et al.. (2020). Challenges and future directions for representations of functional brain organization. Nature Neuroscience. 23(12). 1484–1495. 96 indexed citations
16.
Kaufmann, Tobias, Kristina C. Skåtun, Dag Alnæs, et al.. (2015). Disintegration of Sensorimotor Brain Networks in Schizophrenia. Schizophrenia Bulletin. 41(6). 1326–1335. 140 indexed citations
17.
Leduc, Patrick, et al.. (2013). Panel: "will 3D-IC remain a technology of the future... even in the future?". Design, Automation, and Test in Europe. 1526–1530. 1 indexed citations
18.
Lindner, Dirk, Stephen M. Smith, Claire Leroy, & Anthony R. Tricker. (2011). Comparison of Exposure to Selected Cigarette Smoke Constituents in Adult Smokers and Nonsmokers in a European, Multicenter, Observational Study. Cancer Epidemiology Biomarkers & Prevention. 20(7). 1524–1536. 20 indexed citations
19.
Smith, Stephen M., Mark Jenkinson, Mark W. Woolrich, et al.. (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage. 23. S208–S219. 10777 indexed citations breakdown →
20.
Smith, Stephen M.. (1999). Oufkir : un destin marocain. 1 indexed citations

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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Breakdown of academic impact, for papers by Bruce Fischl Breakdown of academic impact, for papers by Alan C. Evans Breakdown of academic impact, for papers by Mark Jenkinson Breakdown of academic impact, for papers by Anders M. Dale Breakdown of academic impact, for papers by Karl Friston Breakdown of academic impact, for papers by R. S. J. Frackowiak Breakdown of academic impact, for papers by Paul M. Thompson Breakdown of academic impact, for papers by Paul M. Matthews Breakdown of academic impact, for papers by Marcus E. Raichle Breakdown of academic impact, for papers by Timothy E.J. Behrens
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