Nathan Srebro Google Scholar: h-index, Total Citations, and Citation Map
Nathan Srebro's h-index is 83 (187 i10-index, 46,041+ total citations across 265+ publications) according to Google Scholar as of October 2026. Nathan Srebro is affiliated with Professor, TTIC and University of Chicago.
Nathan Srebro is a researcher affiliated with Professor, TTIC and University of Chicago, specializing in various fields. Their work has been cited 46,041 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Nathan Srebro's Citation Metrics
Bibliometric impact based on 265 indexed publications.
- H-Index
- 83
- i10-Index
- 187
- Total Citations
- 46,041
- Citing Countries
- 53
As of October 2026.
Nathan Srebro has an h-index of 83 and 46,041 total citations across 265 publications, with research cited by institutions in 53 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Nathan Srebro'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.
Equality of opportunity in supervised learning
20168,251
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Nathan Srebro's research
Nathan Srebro is a researcher at Professor, TTIC and University of Chicago. Their work has been cited 46,041 times across 265 publications (h-index 83), according to Google Scholar.
Their most-cited work, “Equality of opportunity in supervised learning” (2016), has accumulated 8,251 citations. Other influential works include “Pegasos: Primal estimated sub-gradient solver for svm” (2007) with 3,008 citations and “Exploring generalization in deep learning” (2017) with 1,942 citations.
Citations of Nathan Srebro'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.
