Nicolas Papernot Google Scholar: h-index, Total Citations, and Citation Map
Nicolas Papernot's h-index is 70 (134 i10-index, 60,984+ total citations across 227+ publications) according to Google Scholar as of October 2026. Nicolas Papernot is affiliated with University of Toronto and Vector Institute.
Nicolas Papernot is a researcher affiliated with University of Toronto and Vector Institute, specializing in various fields. Their work has been cited 60,984 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Nicolas Papernot's Citation Metrics
Bibliometric impact based on 227 indexed publications.
- H-Index
- 70
- i10-Index
- 134
- Total Citations
- 60,984
- Citing Countries
- 66
As of October 2026.
Nicolas Papernot has an h-index of 70 and 60,984 total citations across 227 publications, with research cited by institutions in 66 countries.
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The Limitations of Deep Learning in Adversarial Settings
20156,287
Top Citing Countries
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Nicolas Papernot's research
Nicolas Papernot is a researcher at University of Toronto and Vector Institute. Their work has been cited 60,984 times across 227 publications (h-index 70), according to Google Scholar.
Their most-cited work, “The Limitations of Deep Learning in Adversarial Settings” (2015), has accumulated 6,287 citations. Other influential works include “Practical black-box attacks against machine learning” (2017) with 6,136 citations and “Mixmatch: A holistic approach to semi-supervised learning” (2019) with 5,117 citations.
Citations of Nicolas Papernot'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.
