Karl Friston: h-index, Total Citations, and Citation Map
Karl Friston's h-index is 294 (1289 i10-index, 403,619+ total citations across 5+ publications) according to Google Scholar as of May 2026. Karl Friston is affiliated with University College London.
Karl Friston is a researcher affiliated with University College London, specializing in Neuroscience. Their work has been cited 403,619 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Karl Friston's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 294
- i10-Index
- 1289
- Total Citations
- 403,619
- Citing Countries
- 22
As of May 2026.
Karl Friston has an h-index of 294 and 403,619 total citations across 5 publications, with research cited by institutions in 22 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Karl Friston's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
We've mapped 5,000 of 403,619 citations for Karl Friston
We've shown the most-cited 5,000. Unlock the full crawl (403,573 more citations) to see every institution citing this scholar.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
The free-energy principle: a unified brain theory?
201012,326
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.
18 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a general linear approach for statistical parametric mapping in functional imaging, establishing a foundational framework for analyzing functional brain images.
The researcher established foundational methodologies for voxel-based morphometry and unified segmentation, creating standard computational frameworks that have been widely adopted across the neuroimaging community.
The researcher proposed the free-energy principle as a unified theoretical framework for understanding brain function, establishing a foundational model that has garnered extensive independent scholarly attention.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
