Peter Prettenhofer Google Scholar: h-index, Total Citations, and Citation Map
Peter Prettenhofer has 138,623+ total citations according to Google Scholar as of November 2026. Peter Prettenhofer is affiliated with DataRobot.
Peter Prettenhofer is a researcher affiliated with DataRobot, specializing in AI & Machine Learning. Their work has been cited 138,623 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Peter Prettenhofer's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 138,623
- Citing Countries
- 9
As of November 2026.
Peter Prettenhofer has an h-index of 1 and 138,623 total citations across 1 publication, with research cited by institutions in 9 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 Peter Prettenhofer's research
Peter Prettenhofer is a researcher in AI & Machine Learning at DataRobot. Their work has been cited 138,623 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 Peter Prettenhofer's research come primarily from United States, Italy and Jordan, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
