Sebastien Ourselin Google Scholar: h-index, Total Citations, and Citation Map
Sebastien Ourselin has 98,794+ total citations according to Google Scholar as of November 2026. Sebastien Ourselin is affiliated with King's College London.
Sebastien Ourselin is a researcher affiliated with King's College London, specializing in AI & Machine Learning. Their work has been cited 98,794 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sebastien Ourselin's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 98,794
- Citing Countries
- 7
As of November 2026.
Sebastien Ourselin has an h-index of 1 and 98,794 total citations across 1 publication, with research cited by institutions in 7 countries.
Global Impact Map
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Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations
20173,816
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Sebastien Ourselin's research
Sebastien Ourselin is a researcher in AI & Machine Learning at King's College London. Their work has been cited 98,794 times across 1 publication, according to Google Scholar.
Their most-cited work, “Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations” (2017), has accumulated 3,816 citations.
Citations of Sebastien Ourselin's research come primarily from United States, China and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
