Tony DeRose: h-index, Total Citations, and Citation Map
Tony DeRose's h-index is 49 (78 i10-index, 25,613+ total citations across 5+ publications) according to Google Scholar as of May 2026. Tony DeRose is affiliated with Unknown affiliation.
Tony DeRose is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 25,613 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Tony DeRose's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 49
- i10-Index
- 78
- Total Citations
- 25,613
- Citing Countries
- 13
As of May 2026.
Tony DeRose has an h-index of 49 and 25,613 total citations across 5 publications, with research cited by institutions in 13 countries.
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We've mapped 5,000 of 25,613 citations for Tony DeRose
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Global Impact Map
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Top Cited Works
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Surface reconstruction from unorganized points
19925,060
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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.
The researcher established a foundational method for reconstructing surfaces from unorganized point data, a seminal contribution that has been widely adopted across the field.
The researcher established foundational methods for mesh optimization, a seminal contribution that has been widely adopted and cited by independent scholars across the field.
The researcher developed a multiresolution analysis framework for arbitrary meshes, establishing a foundational method for hierarchical geometric processing that has been widely adopted by the independent scientific community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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