Sham M Kakade Google Scholar: h-index, Total Citations, and Citation Map
Sham M Kakade has 49,807+ total citations according to Google Scholar as of November 2026. Sham M Kakade is affiliated with Harvard University.
Sham M Kakade is a researcher affiliated with Harvard University, specializing in AI & Machine Learning. Their work has been cited 49,807 times. This profile visualizes their global influence, highlighting strong citation networks in Australia.
Sham M Kakade's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 49,807
- Citing Countries
- 5
As of November 2026.
Sham M Kakade has an h-index of 1 and 49,807 total citations across 1 publication, with research cited by institutions in 5 countries.
Global Impact Map
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Gaussian process optimization in the bandit setting: No regret and experimental design
20093,503
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 Sham M Kakade's research
Sham M Kakade is a researcher in AI & Machine Learning at Harvard University. Their work has been cited 49,807 times across 1 publication, according to Google Scholar.
Their most-cited work, “Gaussian process optimization in the bandit setting: No regret and experimental design” (2009), has accumulated 3,503 citations.
Citations of Sham M Kakade's research come primarily from Australia, Canada and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
