Amir Foudeh: h-index, Total Citations, and Citation Map
Amir Foudeh's h-index is 17 (20 i10-index, 6,771+ total citations across 28+ publications) according to Google Scholar as of May 2026. Amir Foudeh is affiliated with Neuralink, Stanford, McGill.
Amir Foudeh is a researcher affiliated with Neuralink, Stanford, McGill, specializing in Brain Computer Interfaces (BCI), Biosensors, Wearables. Their work has been cited 6,771 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Amir Foudeh's Citation Metrics
Bibliometric impact based on 28 indexed publications.
- H-Index
- 17
- i10-Index
- 20
- Total Citations
- 6,771
- Citing Countries
- 7
As of May 2026.
Amir Foudeh has an h-index of 17 and 6,771 total citations across 28 publications, with research cited by institutions in 7 countries.
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Global Impact Map
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Top Cited Works
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Skin electronics from scalable fabrication of an intrinsically stretchable transistor array
20182,353
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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.
The researcher pioneered scalable fabrication methods for intrinsically stretchable transistor arrays, establishing a foundational platform for advanced skin electronics.
The researcher developed microfluidic lab-on-a-chip designs for pathogen detection, establishing a foundational framework for point-of-care diagnostics as evidenced by a seminal 2012 paper with 623 citations.
The researcher pioneered bioinspired flexible organic artificial afferent nerves, establishing a foundational framework for soft electronic interfaces that has garnered substantial independent scholarly attention.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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