Sharan Narang: h-index, Total Citations, and Citation Map
Sharan Narang's h-index is 1 (1 i10-index, 104,970+ total citations across 1+ publications) according to Google Scholar as of June 2026. Sharan Narang is affiliated with Director, AI Research, Meta.
Sharan Narang is a researcher affiliated with Director, AI Research, Meta, specializing in AI & Machine Learning. Their work has been cited 104,970 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sharan Narang's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 104,970
- Citing Countries
- 3
As of June 2026.
Sharan Narang has an h-index of 1 and 104,970 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
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Exploring the limits of transfer learning with a unified text-to-text transformer
202031,553
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 Sharan Narang's research
Sharan Narang is a researcher in AI & Machine Learning at Director, AI Research, Meta. Their work has been cited 104,970 times across 1 publications, according to Google Scholar.
Their most-cited work, “Exploring the limits of transfer learning with a unified text-to-text transformer” (2020), has accumulated 31,553 citations.
Citations of Sharan Narang's research come primarily from United States, China and France, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
