Jacob Steinhardt: h-index, Total Citations, and Citation Map
Jacob Steinhardt's h-index is 67 (113 i10-index, 52,170+ total citations across 176+ publications) according to Google Scholar as of July 2026. Jacob Steinhardt is affiliated with Stanford University.
Jacob Steinhardt is a researcher affiliated with Stanford University, specializing in Machine learning, Statistics. Their work has been cited 52,170 times. This profile visualizes their global influence, spanning a global audience.
Jacob Steinhardt's Citation Metrics
Bibliometric impact based on 176 indexed publications.
- H-Index
- 67
- i10-Index
- 113
- Total Citations
- 52,170
- Citing Countries
- 0
As of July 2026.
Jacob Steinhardt has an h-index of 67 and 52,170 total citations across 176 publications, with research cited by institutions in 0 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Jacob Steinhardt'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.
Measuring massive multitask language understanding
202010,170
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 Jacob Steinhardt's research
Jacob Steinhardt is a researcher in Machine learning and Statistics at Stanford University. Their work has been cited 52,170 times across 176 publications (h-index 67), according to Google Scholar.
Their most-cited work, “Measuring massive multitask language understanding” (2020), has accumulated 10,170 citations. Other influential works include “Measuring mathematical problem solving with the math dataset” (2021) with 5,881 citations and “Concrete problems in AI safety” (2016) with 5,626 citations.
