Cedric Jamet: h-index, Total Citations, and Citation Map
Cedric Jamet's h-index is 32 (56 i10-index, 3,776+ total citations across 5+ publications) according to Google Scholar as of May 2026. Cedric Jamet is affiliated with Unknown affiliation.
Cedric Jamet is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 3,776 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Cedric Jamet's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 32
- i10-Index
- 56
- Total Citations
- 3,776
- Citing Countries
- 6
As of May 2026.
Cedric Jamet has an h-index of 32 and 3,776 total citations across 5 publications, with research cited by institutions in 6 countries.
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Global Impact Map
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Top Cited Works
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Earth observations for monitoring marine coastal hazards and their drivers
2020254
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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.
The researcher advanced coastal remote sensing by systematically evaluating four atmospheric correction algorithms for MODIS-Aqua imagery over contrasted waters, establishing a benchmarked framework for accurate ocean color retrieval.
The researcher advanced the application of Earth observations for monitoring marine coastal hazards and their drivers, establishing a foundational framework widely adopted by independent scholars.
The researcher developed a unified framework for simultaneously retrieving multiple optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3 satellite data.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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