Rajendra Acharya: h-index, Total Citations, and Citation Map
Rajendra Acharya's h-index is 230 (971 i10-index, 120,021+ total citations across 1,000+ publications) according to Google Scholar as of August 2026. Rajendra Acharya is affiliated with University of Southern Queensland, Australia.
Rajendra Acharya is a researcher affiliated with University of Southern Queensland, Australia, specializing in Artificial Intelligence, Computational Intelligence, Data Science. Their work has been cited 120,021 times. This profile visualizes their global influence, spanning a global audience.
Rajendra Acharya's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 11 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 230
- i10-Index
- 971
- Total Citations
- 120,021
- Citing Countries
- 0
As of August 2026.
Rajendra Acharya has an h-index of 230 and 120,021 total citations across 1000 publications, with research cited by institutions in 0 countries.
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A review of uncertainty quantification in deep learning: Techniques, applications and challenges
20213,800
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Rajendra Acharya's research
Rajendra Acharya is a researcher in Artificial Intelligence, Computational Intelligence and Data Science at University of Southern Queensland, Australia. Their work has been cited 120,021 times across 1,000 publications (h-index 230), according to Google Scholar.
Their most-cited work, “A review of uncertainty quantification in deep learning: Techniques, applications and challenges” (2021), has accumulated 3,800 citations. Other influential works include “A review of uncertainty quantification in deep learning: Techniques, applications and challenges” (2021) with 3,800 citations and “Heart rate variability: a review” (2006) with 3,264 citations.
