Andrew M. Dai: h-index, Total Citations, and Citation Map
Andrew M. Dai's h-index is 58 (88 i10-index, 73,095+ total citations across 137+ publications) according to Google Scholar as of June 2026.
Andrew M. Dai is a researcher affiliated with their institution, specializing in Language models, Machine learning, Sequence models. Their work has been cited 73,095 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Andrew M. Dai's Citation Metrics
Bibliometric impact based on 137 indexed publications.
- H-Index
- 58
- i10-Index
- 88
- Total Citations
- 73,095
- Citing Countries
- 52
As of June 2026.
Andrew M. Dai has an h-index of 58 and 73,095 total citations across 137 publications, with research cited by institutions in 52 countries.
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Palm: Scaling language modeling with pathways
20239,419
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Andrew M. Dai's research
Andrew M. Dai is a researcher working on Language models, Machine learning and Sequence models. Their work has been cited 73,095 times across 137 publications (h-index 58), according to Google Scholar.
Their most-cited work, “Palm: Scaling language modeling with pathways” (2023), has accumulated 9,419 citations. Other influential works include “Gemini: a family of highly capable multimodal models” (2023) with 9,311 citations and “Scaling instruction-finetuned language models” (2024) with 6,077 citations.
Citations of Andrew M. Dai'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.
