Dawn Song: h-index, Total Citations, and Citation Map
Dawn Song's h-index is 170 (542 i10-index, 172,893+ total citations across 850+ publications) according to Google Scholar as of August 2026. Dawn Song is affiliated with Professor of Computer Science, UC Berkeley.
Dawn Song is a researcher affiliated with Professor of Computer Science, UC Berkeley, specializing in Computer Security and Privacy. Their work has been cited 172,893 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Dawn Song's Citation Metrics
Bibliometric impact based on 850 indexed publications.
- H-Index
- 170
- i10-Index
- 542
- Total Citations
- 172,893
- Citing Countries
- 83
As of August 2026.
Dawn Song has an h-index of 170 and 172,893 total citations across 850 publications, with research cited by institutions in 83 countries.
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Global Impact Map
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Advances and open problems in federated learning
202112,906
Top Citing Countries
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.
1372 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered dynamic taint analysis for exploit detection, establishing a foundational framework for binary-level security analysis and privacy behavior monitoring.
The researcher pioneered the study of robust physical-world attacks on deep learning visual classification, establishing a critical framework for assessing AI security vulnerabilities in real-world applications.
The researcher developed foundational authenticated IP traceback and stateless filtering mechanisms to mitigate DDoS attacks and IP spoofing, establishing a seminal framework for network security defense.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Dawn Song's research
Dawn Song is a researcher in Computer Security and Privacy at Professor of Computer Science, UC Berkeley. Their work has been cited 172,893 times across 850 publications (h-index 170), according to Google Scholar.
Their most-cited work, “Advances and open problems in federated learning” (2021), has accumulated 12,906 citations. Other influential works include “Measuring massive multitask language understanding” (2020) with 10,476 citations and “Measuring mathematical problem solving with the math dataset” (2021) with 6,107 citations.
Citations of Dawn Song's research come primarily from China, United States 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.
