Scikit-learn: Machine learning in Python
2011 • 131608 Citations
Published in Journal of Machine Learning Research (JMLR)
Mathieu Blondel
Mathieu Blondel is a researcher affiliated with Google, specializing in AI & Machine Learning. Their work has been cited 145,305 times. This profile visualizes their global influence, spanning a global audience.
AI & Machine Learning
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Mathieu Blondel's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 145,305
- Citing Countries
- 0
As of April 2026.
Mathieu Blondel has an h-index of 1 and 145,305 total citations across 1 publication, with research cited by institutions in 0 countries.
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10Visa 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 (Kobe University). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Scikit-learn: Machine learning in Python”
· cites “Scikit-learn: Machine learning in Python”
· cites “Scikit-learn: Machine learning in Python”
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley + 6 more
arXiv (Preprint)· cites “Scikit-learn: Machine learning in Python”
· cites “Scikit-learn: Machine learning in Python”
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