Suriya Gunasekar Google Scholar: h-index, Total Citations, and Citation Map
Suriya Gunasekar's h-index is 29 (37 i10-index, 13,782+ total citations across 42+ publications) according to Google Scholar as of November 2026. Suriya Gunasekar is affiliated with MSR Redmond.
Suriya Gunasekar is a researcher affiliated with MSR Redmond, specializing in Language Models, Machine learning and optimization. Their work has been cited 13,782 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Suriya Gunasekar's Citation Metrics
Bibliometric impact based on 42 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 29
- i10-Index
- 37
- Total Citations
- 13,782
- Citing Countries
- 60
As of November 2026.
Suriya Gunasekar has an h-index of 29 and 13,782 total citations across 42 publications, with research cited by institutions in 60 countries.
Global Impact Map
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Phi-4 Technical Report
20244,849
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)
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About Suriya Gunasekar's research
Suriya Gunasekar is a researcher in Language Models and Machine learning and optimization at MSR Redmond. Their work has been cited 13,782 times across 42 publications (h-index 29), according to Google Scholar.
Their most-cited work, “Phi-4 Technical Report” (2024), has accumulated 4,849 citations. Other influential works include “The Implicit Bias of Gradient Descent on Separable Data” (2018) with 1,550 citations and “Textbooks Are All You Need” (2023) with 1,321 citations.
Citations of Suriya Gunasekar'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.
