Renato Assunção: h-index, Total Citations, and Citation Map
Renato Assunção's h-index is 45 (111 i10-index, 10,053+ total citations across 4+ publications) according to Google Scholar as of May 2026. Renato Assunção is affiliated with ESRI Inc. and Department of Computer Science - Universidade Federal de Minas Gerais.
Renato Assunção is a researcher affiliated with ESRI Inc. and Department of Computer Science - Universidade Federal de Minas Gerais, specializing in statistics, machine learning, spatial statistics. Their work has been cited 10,053 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Renato Assunção's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 45
- i10-Index
- 111
- Total Citations
- 10,053
- Citing Countries
- 16
As of May 2026.
Renato Assunção has an h-index of 45 and 10,053 total citations across 4 publications, with research cited by institutions in 16 countries.
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Top Cited Works
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A Space–Time Permutation Scan Statistic for Disease Outbreak Detection
20051,557
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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 developed a space-time permutation scan statistic for disease outbreak detection, establishing a foundational method for spatiotemporal surveillance that has been widely adopted by independent researchers.
The researcher developed a simulated annealing strategy for detecting arbitrarily shaped spatial clusters, a method that has garnered significant independent scholarly attention.
The researcher developed foundational spatial dependence weighting schemes, establishing a critical methodological framework for spatial analysis that has been widely adopted by independent scholars.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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