martial hebert Google Scholar: h-index, Total Citations, and Citation Map
martial hebert has 68,226+ total citations according to Google Scholar as of November 2026. martial hebert is affiliated with CMU.
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, highlighting strong citation networks in United States.
martial hebert's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 68,226
- Citing Countries
- 5
As of November 2026.
martial hebert has an h-index of 1 and 68,226 total citations across 1 publication, with research cited by institutions in 5 countries.
Global Impact Map
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Using spin images for efficient object recognition in cluttered 3D scenes
20023,542
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About martial hebert's research
martial hebert is a researcher in AI & Machine Learning at CMU. Their work has been cited 68,226 times across 1 publication, according to Google Scholar.
Their most-cited work, “Using spin images for efficient object recognition in cluttered 3D scenes” (2002), has accumulated 3,542 citations.
Citations of martial hebert's research come primarily from United States, France and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
