Open X-Embodiment: Robotic Learning Datasets and RT-X Models
2024 • 1329 Citations
Published in 2024 IEEE International Conference on Robotics and Automation (ICRA)
Shubham Tulsiani
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 US.
AI & Machine Learning
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Shubham Tulsiani's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 11,162
- Citing Countries
- 1
As of April 2026.
Shubham Tulsiani has an h-index of 1 and 11,162 total citations across 1 publication, with research cited by institutions in 1 country.
Global Impact Map
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Top Citing Countries(Limited)
United States(US)
11Top Citing Institutions(Limited)
NVIDIA
7Stanford University
4Massachusetts Institute of Technology
1Visa 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.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 1 of 1 countries (11 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Tsung-Yi Lin
7.0NVIDIA
United States· Cited your work 1 time
IndependentTop institution - #2
Yao Lu
7.0NVIDIA
United States· Cited your work 1 time
IndependentTop institution - #3
Zhaoshuo (Max) Li
7.0NVIDIA
United States· Cited your work 1 time
IndependentTop institution - #4
Qianli Ma
7.0NVIDIA
United States· Cited your work 1 time
IndependentTop institution - #5
Ankur Handa
7.0NVIDIA
United States· Cited your work 1 time
IndependentTop institution - #6
Donglai Xiang
7.0NVIDIA
United States· Cited your work 1 time
IndependentTop institution - #7
Chelsea Finn
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #8
Moo Jin Kim
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #9
Zipeng Fu
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution - #10
Gordon Wetzstein
7.0Stanford University
United States· Cited your work 1 time
IndependentTop institution
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Google DeepMind). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Open X-Embodiment: Robotic Learning Datasets and RT-X Models”
· cites “Open X-Embodiment: Robotic Learning Datasets and RT-X Models”
· cites “Open X-Embodiment: Robotic Learning Datasets and RT-X Models”
· cites “Open X-Embodiment: Robotic Learning Datasets and RT-X Models”
Ming-Yu Liu, Chelsea Finn, Qingqing Zhao, Yao Lu + 11 more
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)· cites “Open X-Embodiment: Robotic Learning Datasets and RT-X Models”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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