Joseph Bonneau: h-index, Total Citations, and Citation Map
Joseph Bonneau's h-index is 52 (75 i10-index, 19,925+ total citations across 5+ publications) according to Google Scholar as of May 2026. Joseph Bonneau is affiliated with New York University.
Joseph Bonneau is a researcher affiliated with New York University, specializing in computer security, cryptography. Their work has been cited 19,925 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Joseph Bonneau's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 52
- i10-Index
- 75
- Total Citations
- 19,925
- Citing Countries
- 21
As of May 2026.
Joseph Bonneau has an h-index of 52 and 19,925 total citations across 5 publications, with research cited by institutions in 21 countries.
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We've mapped 5,000 of 19,925 citations for Joseph Bonneau
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Global Impact Map
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Top Cited Works
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Bitcoin and cryptocurrency technologies: a comprehensive introduction
20164,431
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Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher established a foundational, comprehensive framework for understanding Bitcoin and cryptocurrency technologies, serving as a seminal reference in the field.
The researcher established a seminal framework for the comparative evaluation of web authentication schemes, providing a standardized methodology to assess alternatives to traditional passwords.
The researcher established a foundational empirical framework for password security by analyzing a massive anonymized corpus of 70 million passwords to quantify guessing risks.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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