Mubarak Shah Google Scholar: h-index, Total Citations, and Citation Map
Mubarak Shah's h-index is 150 (574 i10-index, 119,763+ total citations across 1,000+ publications) according to Google Scholar as of October 2026. Mubarak Shah is affiliated with Trustee Chair Professor of Computer Science, University of Central Florida.
Mubarak Shah is a researcher affiliated with Trustee Chair Professor of Computer Science, University of Central Florida, specializing in Computer Vision. Their work has been cited 119,763 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Mubarak Shah's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 13 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 150
- i10-Index
- 574
- Total Citations
- 119,763
- Citing Countries
- 78
As of October 2026.
Mubarak Shah has an h-index of 150 and 119,763 total citations across 1000 publications, with research cited by institutions in 78 countries.
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Global Impact Map
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Ucf101: A dataset of 101 human actions classes from videos in the wild
20129,467
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
6 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational benchmark for human action recognition by introducing a large-scale, diverse dataset of 101 action classes captured in uncontrolled, real-world video environments.
The researcher established a foundational survey of object tracking, creating a seminal reference that has been independently cited nearly 8,000 times.
The researcher developed a fast algorithm for active contours and curvature estimation, establishing a foundational computational method widely adopted in image analysis.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Mubarak Shah's research
Mubarak Shah is a researcher in Computer Vision at Trustee Chair Professor of Computer Science, University of Central Florida. Their work has been cited 119,763 times across 1,000 publications (h-index 150), according to Google Scholar.
Their most-cited work, “Ucf101: A dataset of 101 human actions classes from videos in the wild” (2012), has accumulated 9,467 citations. Other influential works include “Object tracking: A survey” (2006) with 7,796 citations and “Transformers in vision: A survey” (2022) with 5,202 citations.
Citations of Mubarak Shah's research come primarily from China, United States 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.
