Larry Davis Google Scholar: h-index, Total Citations, and Citation Map
Larry Davis's h-index is 146 (600 i10-index, 101,341+ total citations across 1,000+ publications) according to Google Scholar as of October 2026. Larry Davis is affiliated with University of Maryland.
Larry Davis is a researcher affiliated with University of Maryland, specializing in various fields. Their work has been cited 101,341 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Larry Davis's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 146
- i10-Index
- 600
- Total Citations
- 101,341
- Citing Countries
- 71
As of October 2026.
Larry Davis has an h-index of 146 and 101,341 total citations across 1000 publications, with research cited by institutions in 71 countries.
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Global Impact Map
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W/sup 4: real-time surveillance of people and their activities
20004,352
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 pioneered real-time surveillance of people and activities, establishing a foundational framework for continuous human behavior monitoring in dynamic environments.
The researcher developed a seminal non-parametric model for background subtraction, establishing a foundational approach in computer vision that has been widely adopted by the independent scientific community.
The researcher established the foundational utility of support vector machines for land cover classification, a seminal contribution that has been independently adopted by the global remote sensing community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Larry Davis's research
Larry Davis is a researcher at University of Maryland. Their work has been cited 101,341 times across 1,000 publications (h-index 146), according to Google Scholar.
Their most-cited work, “W/sup 4: real-time surveillance of people and their activities” (2000), has accumulated 4,352 citations. Other influential works include “Non-parametric model for background subtraction” (2000) with 3,564 citations and “Soft-NMS--improving object detection with one line of code” (2017) with 3,077 citations.
Citations of Larry Davis'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.
