Shubham Tulsiani Google Scholar: h-index, Total Citations, and Citation Map
Shubham Tulsiani's h-index is 50 (75 i10-index, 13,724+ total citations across 95+ publications) according to Google Scholar as of November 2026. Shubham Tulsiani is affiliated with Carnegie Mellon Univesity.
Shubham Tulsiani is a researcher affiliated with Carnegie Mellon Univesity, specializing in Computer Vision. Their work has been cited 13,724 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Shubham Tulsiani's Citation Metrics
Bibliometric impact based on 95 indexed publications.
- H-Index
- 50
- i10-Index
- 75
- Total Citations
- 13,724
- Citing Countries
- 35
As of November 2026.
Shubham Tulsiani has an h-index of 50 and 13,724 total citations across 95 publications, with research cited by institutions in 35 countries.
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
20242,597
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 Computer Vision at Carnegie Mellon Univesity. Their work has been cited 13,724 times across 95 publications (h-index 50), according to Google Scholar.
Their most-cited work, “Open X-Embodiment: Robotic Learning Datasets and RT-X Models” (2024), has accumulated 2,597 citations. Other influential works include “View synthesis by appearance flow” (2016) with 894 citations and “Learning category-specific mesh reconstruction from image collections” (2018) with 797 citations.
Citations of Shubham Tulsiani'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.
