Terence Tao Google Scholar: h-index, Total Citations, and Citation Map
Terence Tao's h-index is 121 (401 i10-index, 111,509+ total citations across 881+ publications) according to Google Scholar as of October 2026. Terence Tao is affiliated with Professor of Mathematics, UCLA.
Terence Tao is a researcher affiliated with Professor of Mathematics, UCLA, specializing in Analysis, Combinatorics, Random Matrix Theory. Their work has been cited 111,509 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Terence Tao's Citation Metrics
Bibliometric impact based on 881 indexed publications.
- H-Index
- 121
- i10-Index
- 401
- Total Citations
- 111,509
- Citing Countries
- 56
As of October 2026.
Terence Tao has an h-index of 121 and 111,509 total citations across 881 publications, with research cited by institutions in 56 countries.
Global Impact Map
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Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
200620,874
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.
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.
1692 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered the application of linear programming to decoding and signal recovery, establishing foundational methods for reconstructing signals from incomplete or inaccurate measurements.
The researcher established robust uncertainty principles enabling exact signal reconstruction from highly incomplete frequency information, a foundational advance in compressed sensing.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Terence Tao's research
Terence Tao is a researcher in Analysis, Combinatorics and Random Matrix Theory at Professor of Mathematics, UCLA. Their work has been cited 111,509 times across 881 publications (h-index 121), according to Google Scholar.
Their most-cited work, “Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information” (2006), has accumulated 20,874 citations. Other influential works include “Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information” (2006) with 20,874 citations and “Stable signal recovery from incomplete and inaccurate measurements” (2006) with 13,721 citations.
Citations of Terence Tao'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.
