Leonard Matheus Wastupranata: h-index, Total Citations, and Citation Map
Leonard Matheus Wastupranata's h-index is 4 (1 i10-index, 76+ total citations across 12+ publications) according to Google Scholar as of May 2026. Leonard Matheus Wastupranata is affiliated with AI Vision Engineer, E-Exhibition, South Korea.
Leonard Matheus Wastupranata is a researcher affiliated with AI Vision Engineer, E-Exhibition, South Korea, specializing in Computer Vision, Deep Learning, Diffusion Model. Their work has been cited 76 times. This profile visualizes their global influence, highlighting strong citation networks in India.
Leonard Matheus Wastupranata's Citation Metrics
Bibliometric impact based on 12 indexed publications. Of these, 7 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 4
- i10-Index
- 1
- Total Citations
- 76
- Citing Countries
- 19
As of May 2026.
Leonard Matheus Wastupranata has an h-index of 4 and 76 total citations across 12 publications, with research cited by institutions in 19 countries.
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Global Impact Map
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Top Cited Works
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Deep learning for abnormal human behavior detection in surveillance videos—A survey
202448
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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.
33 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher provided a comprehensive survey of deep learning methods for abnormal human behavior detection in surveillance videos, establishing a foundational reference for the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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