Shubham Tulsiani: h-index, Total Citations, and Citation Map
Shubham Tulsiani's h-index is 1 (1 i10-index, 11,162+ total citations across 1+ publications) according to Google Scholar as of June 2026. Shubham Tulsiani is affiliated with Carnegie Mellon Univesity.
Shubham Tulsiani is a researcher affiliated with Carnegie Mellon Univesity, specializing in AI & Machine Learning. Their work has been cited 11,162 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Shubham Tulsiani's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 11,162
- Citing Countries
- 3
As of June 2026.
Shubham Tulsiani has an h-index of 1 and 11,162 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
20241,329
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 Shubham Tulsiani's research
Shubham Tulsiani is a researcher in AI & Machine Learning at Carnegie Mellon Univesity. Their work has been cited 11,162 times across 1 publications, according to Google Scholar.
Their most-cited work, “Open X-Embodiment: Robotic Learning Datasets and RT-X Models” (2024), has accumulated 1,329 citations.
Citations of Shubham Tulsiani's research come primarily from United States, China and Hong Kong, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
