Stephen M. Smith: h-index, Total Citations, and Citation Map
Stephen M. Smith's h-index is 170 (445 i10-index, 271,294+ total citations across 3+ publications) according to Google Scholar as of July 2026. Stephen M. Smith is affiliated with WIN (FMRIB), Oxford University.
Stephen M. Smith is a researcher affiliated with WIN (FMRIB), Oxford University, specializing in Brain imaging, MRI, Computational Neuroscience. Their work has been cited 271,294 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Stephen M. Smith's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 170
- i10-Index
- 445
- Total Citations
- 271,294
- Citing Countries
- 10
As of July 2026.
Stephen M. Smith has an h-index of 170 and 271,294 total citations across 3 publications, with research cited by institutions in 10 countries.
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Global Impact Map
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Advances in functional and structural MR image analysis and implementation as FSL
200416,621
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
7 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed FSL, a widely adopted software suite for functional and structural MR image analysis, establishing a foundational tool for neuroimaging research.
The researcher developed improved optimization methods for robust, accurate linear registration and motion correction of brain images, establishing a foundational standard in neuroimaging analysis.
The researcher published a seminal 2012 paper that has garnered over 13,000 citations, establishing a foundational contribution widely adopted by independent scholars across the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Stephen M. Smith's research
Stephen M. Smith is a researcher in Brain imaging, MRI and Computational Neuroscience at WIN (FMRIB), Oxford University. Their work has been cited 271,294 times across 3 publications (h-index 170), according to Google Scholar.
Their most-cited work, “Advances in functional and structural MR image analysis and implementation as FSL” (2004), has accumulated 16,621 citations. Other influential works include “Improved optimization for the robust and accurate linear registration and motion correction of brain images” (2002) with 14,886 citations and “View article” (2012) with 13,587 citations.
Citations of Stephen M. Smith's research come primarily from United States, Germany and Spain, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











