Sharan Narang Google Scholar: h-index, Total Citations, and Citation Map
Sharan Narang's h-index is 22 (25 i10-index, 117,156+ total citations across 61+ publications) according to Google Scholar as of November 2026. Sharan Narang is affiliated with Waymo.
Sharan Narang is a researcher affiliated with Waymo, specializing in AI & Machine Learning. Their work has been cited 117,156 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sharan Narang's Citation Metrics
Bibliometric impact based on 61 indexed publications.
- H-Index
- 22
- i10-Index
- 25
- Total Citations
- 117,156
- Citing Countries
- 63
As of November 2026.
Sharan Narang has an h-index of 22 and 117,156 total citations across 61 publications, with research cited by institutions in 63 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 Waymo. Their work has been cited 117,156 times across 61 publications (h-index 22), 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. Other influential works include “Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer” (2019) with 8,320 citations and “Llama 2: Open Foundation and Fine-Tuned Chat Models” (2023) with 2,594 citations.
Citations of Sharan Narang'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.
