martial hebert
martial hebert is a researcher affiliated with CMU, specializing in AI & Machine Learning. Their work has been cited 68,226 times. This profile visualizes their global influence, spanning a global audience.
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martial hebert's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 68,226
- Citing Countries
- 0
As of April 2026.
martial hebert has an h-index of 1 and 68,226 total citations across 1 publication, with research cited by institutions in 0 countries.
Global Impact Map
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Top Citing Countries(Limited)
Top Citing Institutions(Limited)
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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.
Cited by 5 papers
Citations flagged as non-independent share the scholar's home institution (Carnegie Mellon University). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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