Johannes Schönberger Google Scholar: h-index, Total Citations, and Citation Map
Johannes Schönberger has 76,153+ total citations according to Google Scholar as of November 2026. Johannes Schönberger is affiliated with Meta.
Johannes Schönberger is a researcher affiliated with Meta, specializing in AI & Machine Learning. Their work has been cited 76,153 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Johannes Schönberger's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 76,153
- Citing Countries
- 13
As of November 2026.
Johannes Schönberger has an h-index of 1 and 76,153 total citations across 1 publication, with research cited by institutions in 13 countries.
Global Impact Map
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SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python
202049,858
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 Johannes Schönberger's research
Johannes Schönberger is a researcher in AI & Machine Learning at Meta. Their work has been cited 76,153 times across 1 publication, according to Google Scholar.
Their most-cited work, “SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python” (2020), has accumulated 49,858 citations.
Citations of Johannes Schönberger's research come primarily from United States, Canada and Finland, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
