Sandhini Agarwal Google Scholar: h-index, Total Citations, and Citation Map
Sandhini Agarwal's h-index is 43 (48 i10-index, 224,004+ total citations across 53+ publications) according to Google Scholar as of October 2026. Sandhini Agarwal is affiliated with Openai.
Sandhini Agarwal is a researcher affiliated with Openai, specializing in various fields. Their work has been cited 224,004 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Sandhini Agarwal's Citation Metrics
Bibliometric impact based on 53 indexed publications.
- H-Index
- 43
- i10-Index
- 48
- Total Citations
- 224,004
- Citing Countries
- 39
As of October 2026.
Sandhini Agarwal has an h-index of 43 and 224,004 total citations across 53 publications, with research cited by institutions in 39 countries.
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Language models are few-shot learners
202077,501
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.
23 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced natural language processing by demonstrating that large-scale language models can perform complex tasks with minimal examples, establishing a foundational paradigm for few-shot learning.
The researcher developed a foundational method for learning transferable visual models using natural language supervision, establishing a highly influential paradigm in multimodal AI.
The researcher demonstrated that large-scale language models can perform complex tasks with minimal examples, establishing few-shot learning as a foundational capability in modern AI.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Sandhini Agarwal's research
Sandhini Agarwal is a researcher at Openai. Their work has been cited 224,004 times across 53 publications (h-index 43), according to Google Scholar.
Their most-cited work, “Language models are few-shot learners” (2020), has accumulated 77,501 citations. Other influential works include “Learning transferable visual models from natural language supervision” (2021) with 66,813 citations and “Gpt-4 technical report” (2023) with 29,581 citations.
Citations of Sandhini Agarwal's research come primarily from China, United States 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.
