Noah A. Smith: h-index, Total Citations, and Citation Map
Noah A. Smith's h-index is 135 (398 i10-index, 85,938+ total citations across 524+ publications) according to Google Scholar as of July 2026. Noah A. Smith is affiliated with University of Washington; Allen Institute for Artificial Intelligence.
Noah A. Smith is a researcher affiliated with University of Washington; Allen Institute for Artificial Intelligence, specializing in various fields. Their work has been cited 85,938 times. This profile visualizes their global influence, spanning a global audience.
Noah A. Smith's Citation Metrics
Bibliometric impact based on 524 indexed publications.
- H-Index
- 135
- i10-Index
- 398
- Total Citations
- 85,938
- Citing Countries
- 0
As of July 2026.
Noah A. Smith has an h-index of 135 and 85,938 total citations across 524 publications, with research cited by institutions in 0 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Noah A. Smith's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Don't stop pretraining: adapt language models to domains and tasks
20203,757
Top Citing Countries
Top Citing Institutions
No institution data available.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Noah A. Smith's research
Noah A. Smith is a researcher at University of Washington; Allen Institute for Artificial Intelligence. Their work has been cited 85,938 times across 524 publications (h-index 135), according to Google Scholar.
Their most-cited work, “Don't stop pretraining: adapt language models to domains and tasks” (2020), has accumulated 3,757 citations. Other influential works include “Self-instruct: Aligning language models with self-generated instructions” (2023) with 3,669 citations and “Green AI” (2020) with 3,107 citations.
