Matthieu Perrot Google Scholar: h-index, Total Citations, and Citation Map
Matthieu Perrot has 133,501+ total citations according to Google Scholar as of November 2026. Matthieu Perrot is affiliated with L'Oréal.
Matthieu Perrot is a researcher affiliated with L'Oréal, specializing in AI & Machine Learning. Their work has been cited 133,501 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Matthieu Perrot's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 133,501
- Citing Countries
- 4
As of November 2026.
Matthieu Perrot has an h-index of 1 and 133,501 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
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Scikit-learn: Machine Learning in Python
2011131,107
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 Matthieu Perrot's research
Matthieu Perrot is a researcher in AI & Machine Learning at L'Oréal. Their work has been cited 133,501 times across 1 publication, according to Google Scholar.
Their most-cited work, “Scikit-learn: Machine Learning in Python” (2011), has accumulated 131,107 citations.
Citations of Matthieu Perrot's research come primarily from United States, Jordan and South Korea, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
