Sharan Narang: h-index, Total Citations, and Citation Map
Sharan Narang's h-index is 20 (20 i10-index, 115,524+ total citations across 1+ publications) according to Google Scholar as of August 2026. Sharan Narang is affiliated with Baidu Research.
Sharan Narang is a researcher affiliated with Baidu Research, specializing in AI & Machine Learning. Their work has been cited 115,524 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
- 20
- i10-Index
- 20
- Total Citations
- 115,524
- Citing Countries
- 39
As of August 2026.
Sharan Narang has an h-index of 20 and 115,524 total citations across 1 publication, with research cited by institutions in 39 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 Baidu Research. Their work has been cited 115,524 times across 1 publications (h-index 20), 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.
