Christopher Ré: h-index, Total Citations, and Citation Map
Christopher Ré's h-index is 121 (331 i10-index, 88,117+ total citations across 100+ publications) according to Google Scholar as of September 2026. Christopher Ré is affiliated with Computer Science, Stanford University.
Christopher Ré is a researcher affiliated with Computer Science, Stanford University, specializing in machine learning, artificial intelligence, machine learning systems. Their work has been cited 88,117 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Christopher Ré's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 121
- i10-Index
- 331
- Total Citations
- 88,117
- Citing Countries
- 62
As of September 2026.
Christopher Ré has an h-index of 121 and 88,117 total citations across 100 publications, with research cited by institutions in 62 countries.
Global Impact Map
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On the opportunities and risks of foundation models
202112,550
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Christopher Ré's research
Christopher Ré is a researcher in machine learning, artificial intelligence and machine learning systems at Computer Science, Stanford University. Their work has been cited 88,117 times across 100 publications (h-index 121), according to Google Scholar.
Their most-cited work, “On the opportunities and risks of foundation models” (2021), has accumulated 12,550 citations. Other influential works include “2021 publication — 9424 citations” (2021) with 9,424 citations and “Efficiently modeling long sequences with structured state spaces” (2021) with 6,287 citations.
Citations of Christopher Ré'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.
