Shakir Mohamed: h-index, Total Citations, and Citation Map
Shakir Mohamed's h-index is 1 (1 i10-index, 39,061+ total citations across 1+ publications) according to Google Scholar as of June 2026. Shakir Mohamed is affiliated with Research Director, Google DeepMind.
Shakir Mohamed is a researcher affiliated with Research Director, Google DeepMind, specializing in AI & Machine Learning. Their work has been cited 39,061 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Shakir Mohamed's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 39,061
- Citing Countries
- 5
As of June 2026.
Shakir Mohamed has an h-index of 1 and 39,061 total citations across 1 publication, with research cited by institutions in 5 countries.
Global Impact Map
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Stochastic Backpropagation and Approximate Inference in Deep Generative Models
20147,158
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 Shakir Mohamed's research
Shakir Mohamed is a researcher in AI & Machine Learning at Research Director, Google DeepMind. Their work has been cited 39,061 times across 1 publications, according to Google Scholar.
Their most-cited work, “Stochastic Backpropagation and Approximate Inference in Deep Generative Models” (2014), has accumulated 7,158 citations.
Citations of Shakir Mohamed's research come primarily from China, Germany and United States, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
