Dillon Reisman: h-index, Total Citations, and Citation Map
Dillon Reisman's h-index is 14 (15 i10-index, 2,959+ total citations across 5+ publications) according to Google Scholar as of May 2026. Dillon Reisman is affiliated with Unknown affiliation.
Dillon Reisman is a researcher affiliated with Unknown affiliation, specializing in Civil Rights, Technology Policy, AI and the Law. Their work has been cited 2,959 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Dillon Reisman's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 14
- i10-Index
- 15
- Total Citations
- 2,959
- Citing Countries
- 10
As of May 2026.
Dillon Reisman has an h-index of 14 and 2,959 total citations across 5 publications, with research cited by institutions in 10 countries.
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Global Impact Map
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Top Cited Works
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A smart home is no castle: Privacy vulnerabilities of encrypted iot traffic
2017497
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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 identified critical privacy vulnerabilities in encrypted IoT traffic within smart home environments, challenging the assumption that encryption alone ensures user privacy.
The researcher established a foundational framework for analyzing the surveillance implications of web tracking through a seminal 2015 study that has garnered significant independent academic attention.
The researcher developed a practical framework for algorithmic impact assessments in public agencies, establishing a foundational approach for evaluating algorithmic governance.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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