Peter Henderson: h-index, Total Citations, and Citation Map
Peter Henderson's h-index is 40 (67 i10-index, 35,235+ total citations across 105+ publications) according to Google Scholar as of July 2026. Peter Henderson is affiliated with Princeton University.
Peter Henderson is a researcher affiliated with Princeton University, specializing in various fields. Their work has been cited 35,235 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Peter Henderson's Citation Metrics
Bibliometric impact based on 105 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 40
- i10-Index
- 67
- Total Citations
- 35,235
- Citing Countries
- 76
As of July 2026.
Peter Henderson has an h-index of 40 and 35,235 total citations across 105 publications, with research cited by institutions in 76 countries.
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Global Impact Map
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On the opportunities and risks of foundation models
202111,550
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.
37 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered self-destructing models to mitigate foundation model misuse, subsequently demonstrating that safety alignment is fragile and easily compromised by fine-tuning.
The researcher pioneered responsible data filtering frameworks using legal datasets, establishing a foundation for analyzing AI safety vulnerabilities and intellectual property implications in large language models.
The researcher provided a seminal framework for analyzing the dual nature of foundation models, systematically outlining their transformative potential alongside critical societal and technical risks.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Peter Henderson's research
Peter Henderson is a researcher at Princeton University. Their work has been cited 35,235 times across 105 publications (h-index 40), according to Google Scholar.
Their most-cited work, “On the opportunities and risks of foundation models” (2021), has accumulated 11,550 citations. Other influential works include “Deep Reinforcement Learning that Matters” (2018) with 3,557 citations and “Holistic Evaluation of Language Models” (2023) with 3,377 citations.
Citations of Peter Henderson'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.
