Ruslan Salakhutdinov: h-index, Total Citations, and Citation Map
Ruslan Salakhutdinov's h-index is 137 (344 i10-index, 271,068+ total citations across 516+ publications) according to Google Scholar as of August 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 271,068 times. This profile visualizes their global influence, spanning a global audience.
Ruslan Salakhutdinov's Citation Metrics
Bibliometric impact based on 516 indexed publications.
- H-Index
- 137
- i10-Index
- 344
- Total Citations
- 271,068
- Citing Countries
- 0
As of August 2026.
Ruslan Salakhutdinov has an h-index of 137 and 271,068 total citations across 516 publications, with research cited by institutions in 0 countries.
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
201462,059
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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 271,068 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 “Dropout: A Simple Way to Prevent Neural Networks from Overfitting” (2014) with 62,059 citations and “Dropout: a simple way to prevent neural networks from overfitting” (2014) with 34,178 citations.
