martial hebert: H-Index 1 · 68K Citations | Citation Map

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.

AI & Machine Learning

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CMU•

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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.

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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

5 / 5 independent

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.

(title pending — citation is still being processed)
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”
(title pending — citation is still being processed)
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”
(title pending — citation is still being processed)
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”
(title pending — citation is still being processed)
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”
(title pending — citation is still being processed)
· cites “Using spin images for efficient object recognition in cluttered 3D scenes”