Reza Shokri: h-index, Total Citations, and Citation Map
Reza Shokri's h-index is 1 (1 i10-index, 25,202+ total citations across 1+ publications) according to Google Scholar as of June 2026. Reza Shokri is affiliated with Google; NUS (on leave).
Reza Shokri is a researcher affiliated with Google; NUS (on leave), specializing in AI & Machine Learning. Their work has been cited 25,202 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Reza Shokri's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 25,202
- Citing Countries
- 3
As of June 2026.
Reza Shokri has an h-index of 1 and 25,202 total citations across 1 publication, with research cited by institutions in 3 countries.
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Membership Inference Attacks against Machine Learning Models
20177,797
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 Reza Shokri's research
Reza Shokri is a researcher in AI & Machine Learning at Google; NUS (on leave). Their work has been cited 25,202 times across 1 publications, according to Google Scholar.
Their most-cited work, “Membership Inference Attacks against Machine Learning Models” (2017), has accumulated 7,797 citations.
Citations of Reza Shokri's research come primarily from United States, Switzerland and United Kingdom, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











