Subhashini Venugopalan: h-index, Total Citations, and Citation Map
Subhashini Venugopalan's h-index is 36 (51 i10-index, 32,964+ total citations across 84+ publications) according to Google Scholar as of September 2026. Subhashini Venugopalan is affiliated with University of Texas at Austin.
Subhashini Venugopalan is a researcher affiliated with University of Texas at Austin, specializing in Natural Language Processing, Computer Vision, Machine Learning. Their work has been cited 32,964 times. This profile visualizes their global influence, spanning a global audience.
Subhashini Venugopalan's Citation Metrics
Bibliometric impact based on 84 indexed publications.
- H-Index
- 36
- i10-Index
- 51
- Total Citations
- 32,964
- Citing Countries
- 0
As of September 2026.
Subhashini Venugopalan has an h-index of 36 and 32,964 total citations across 84 publications, with research cited by institutions in 0 countries.
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Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
201610,077
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Citation Trend (Last 10 Years)
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About Subhashini Venugopalan's research
Subhashini Venugopalan is a researcher in Natural Language Processing, Computer Vision and Machine Learning at University of Texas at Austin. Their work has been cited 32,964 times across 84 publications (h-index 36), according to Google Scholar.
Their most-cited work, “Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs” (2016), has accumulated 10,077 citations. Other influential works include “Long-term recurrent convolutional networks for visual recognition and description” (2015) with 8,920 citations and “Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities” (2025) with 4,560 citations.
