Shai Shalev-Shwartz Google Scholar: h-index, Total Citations, and Citation Map
Shai Shalev-Shwartz has 43,552+ total citations according to Google Scholar as of November 2026. Shai Shalev-Shwartz is affiliated with The Hebrew University.
Shai Shalev-Shwartz is a researcher affiliated with The Hebrew University, specializing in AI & Machine Learning. Their work has been cited 43,552 times. This profile visualizes their global influence, highlighting strong citation networks in Israel.
Shai Shalev-Shwartz's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 43,552
- Citing Countries
- 2
As of November 2026.
Shai Shalev-Shwartz has an h-index of 1 and 43,552 total citations across 1 publication, with research cited by institutions in 2 countries.
Global Impact Map
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Understanding Machine Learning: From Theory to Algorithms
201410,570
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 Shai Shalev-Shwartz's research
Shai Shalev-Shwartz is a researcher in AI & Machine Learning at The Hebrew University. Their work has been cited 43,552 times across 1 publication, according to Google Scholar.
Their most-cited work, “Understanding Machine Learning: From Theory to Algorithms” (2014), has accumulated 10,570 citations.
Citations of Shai Shalev-Shwartz's research come primarily from Israel and United States, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
