Daniel E. Ho: h-index, Total Citations, and Citation Map
Daniel E. Ho's h-index is 52 (118 i10-index, 36,772+ total citations across 227+ publications) according to Google Scholar as of July 2026. Daniel E. Ho is affiliated with Stanford University.
Daniel E. Ho is a researcher affiliated with Stanford University, specializing in Regulatory policy, artificial intelligence, administrative law. Their work has been cited 36,772 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Daniel E. Ho's Citation Metrics
Bibliometric impact based on 227 indexed publications.
- H-Index
- 52
- i10-Index
- 118
- Total Citations
- 36,772
- Citing Countries
- 67
As of July 2026.
Daniel E. Ho has an h-index of 52 and 36,772 total citations across 227 publications, with research cited by institutions in 67 countries.
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On the opportunities and risks of foundation models
20219,772
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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.
42 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for analyzing foundation model risks and opportunities, subsequently extending this inquiry to robotic grounding and legal AI reliability.
The researcher established a critical framework for evaluating medical AI devices and expanded this into a broader ecosystem for trustworthy AI governance and third-party oversight.
The researcher established a collaborative benchmark for legal reasoning in LLMs and subsequently profiled legal hallucinations, creating a foundational framework for evaluating AI in legal contexts.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Daniel E. Ho's research
Daniel E. Ho is a researcher in Regulatory policy, artificial intelligence and administrative law at Stanford University. Their work has been cited 36,772 times across 227 publications (h-index 52), according to Google Scholar.
Their most-cited work, “On the opportunities and risks of foundation models” (2021), has accumulated 9,772 citations. Other influential works include “Matchit: nonparametric preprocessing for parametric casual inference” (2006) with 6,384 citations and “Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference” (2007) with 5,861 citations.
Citations of Daniel E. Ho'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.
