Christopher Olah: h-index, Total Citations, and Citation Map
Christopher Olah's h-index is 1 (1 i10-index, 111,527+ total citations across 1+ publications) according to Google Scholar as of June 2026. Christopher Olah is affiliated with Anthropic.
Christopher Olah is a researcher affiliated with Anthropic, specializing in AI & Machine Learning. Their work has been cited 111,527 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Christopher Olah's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 111,527
- Citing Countries
- 12
As of June 2026.
Christopher Olah has an h-index of 1 and 111,527 total citations across 1 publication, with research cited by institutions in 12 countries.
Global Impact Map
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems
201566,452
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 Olah's research
Christopher Olah is a researcher in AI & Machine Learning at Anthropic. Their work has been cited 111,527 times across 1 publications, according to Google Scholar.
Their most-cited work, “TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems” (2015), has accumulated 66,452 citations.
Citations of Christopher Olah's research come primarily from China, Switzerland and Italy, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
