Ruslan Salakhutdinov: h-index, Total Citations, and Citation Map
Ruslan Salakhutdinov's h-index is 1 (1 i10-index, 260,422+ total citations across 1+ publications) according to Google Scholar as of June 2026. Ruslan Salakhutdinov is affiliated with UPMC Professor, Machine Learning Department, CMU.
Ruslan Salakhutdinov is a researcher affiliated with UPMC Professor, Machine Learning Department, CMU, specializing in AI & Machine Learning. Their work has been cited 260,422 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ruslan Salakhutdinov's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 260,422
- Citing Countries
- 5
As of June 2026.
Ruslan Salakhutdinov has an h-index of 1 and 260,422 total citations across 1 publication, with research cited by institutions in 5 countries.
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
201462,059
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 Ruslan Salakhutdinov's research
Ruslan Salakhutdinov is a researcher in AI & Machine Learning at UPMC Professor, Machine Learning Department, CMU. Their work has been cited 260,422 times across 1 publications, according to Google Scholar.
Their most-cited work, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting” (2014), has accumulated 62,059 citations.
Citations of Ruslan Salakhutdinov's research come primarily from China, United States and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
