Somesh Jha Google Scholar: h-index, Total Citations, and Citation Map
Somesh Jha's h-index is 103 (280 i10-index, 63,957+ total citations across 520+ publications) according to Google Scholar as of October 2026. Somesh Jha is affiliated with Lubar Chair of Computer Science, University of Wisconsin.
Somesh Jha is a researcher affiliated with Lubar Chair of Computer Science, University of Wisconsin, specializing in Trustworthy Machine Learning, Security, Formal methods. Their work has been cited 63,957 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Somesh Jha's Citation Metrics
Bibliometric impact based on 520 indexed publications.
- H-Index
- 103
- i10-Index
- 280
- Total Citations
- 63,957
- Citing Countries
- 72
As of October 2026.
Somesh Jha has an h-index of 103 and 63,957 total citations across 520 publications, with research cited by institutions in 72 countries.
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The limitations of deep learning in adversarial settings
20166,287
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Somesh Jha's research
Somesh Jha is a researcher in Trustworthy Machine Learning, Security and Formal methods at Lubar Chair of Computer Science, University of Wisconsin. Their work has been cited 63,957 times across 520 publications (h-index 103), according to Google Scholar.
Their most-cited work, “The limitations of deep learning in adversarial settings” (2016), has accumulated 6,287 citations. Other influential works include “Practical black-box attacks against machine learning” (2017) with 6,136 citations and “Model inversion attacks that exploit confidence information and basic countermeasures” (2015) with 5,072 citations.
Citations of Somesh Jha's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
