Ruslan Salakhutdinov: h-index, Total Citations, and Citation Map
Ruslan Salakhutdinov's h-index is 137 (344 i10-index, 268,698+ total citations across 516+ publications) according to Google Scholar as of July 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 Machine Learning, Artificial Intelligence, Deep Learning. Their work has been cited 268,698 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ruslan Salakhutdinov's Citation Metrics
Bibliometric impact based on 516 indexed publications.
- H-Index
- 137
- i10-Index
- 344
- Total Citations
- 268,698
- Citing Countries
- 23
As of July 2026.
Ruslan Salakhutdinov has an h-index of 137 and 268,698 total citations across 516 publications, with research cited by institutions in 23 countries.
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
201462,059
Top Citing Countries
Top Citing Institutions
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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 Machine Learning, Artificial Intelligence and Deep Learning at UPMC Professor, Machine Learning Department, CMU. Their work has been cited 268,698 times across 516 publications (h-index 137), according to Google Scholar.
Their most-cited work, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting” (2014), has accumulated 62,059 citations. Other influential works include “Reducing the dimensionality of data with neural networks” (2006) with 27,873 citations and “Show, attend and tell: Neural image caption generation with visual attention” (2015) with 14,800 citations.
Citations of Ruslan Salakhutdinov's research come primarily from United States, China 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.
