Jared Kaplan: h-index, Total Citations, and Citation Map
Jared Kaplan's h-index is 1 (1 i10-index, 142,852+ total citations across 1+ publications) according to Google Scholar as of June 2026. Jared Kaplan is affiliated with Johns Hopkins University & Anthropic.
Jared Kaplan is a researcher affiliated with Johns Hopkins University & Anthropic, specializing in AI & Machine Learning. Their work has been cited 142,852 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jared Kaplan's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 142,852
- Citing Countries
- 3
As of June 2026.
Jared Kaplan has an h-index of 1 and 142,852 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
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Language models are few-shot learners
202070,156
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 Jared Kaplan's research
Jared Kaplan is a researcher in AI & Machine Learning at Johns Hopkins University & Anthropic. Their work has been cited 142,852 times across 1 publications, according to Google Scholar.
Their most-cited work, “Language models are few-shot learners” (2020), has accumulated 70,156 citations.
Citations of Jared Kaplan's research come primarily from United States, United Kingdom and Canada, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











