Roberto C.S.N.P. Souza: h-index, Total Citations, and Citation Map
Roberto C.S.N.P. Souza's h-index is 8 (8 i10-index, 240+ total citations across 4+ publications) according to Google Scholar as of May 2026. Roberto C.S.N.P. Souza is affiliated with PhD. Computer Science, Universidade Federal de Minas Gerais.
Roberto C.S.N.P. Souza is a researcher affiliated with PhD. Computer Science, Universidade Federal de Minas Gerais, specializing in Data Mining, Machine Learning. Their work has been cited 240 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Roberto C.S.N.P. Souza's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 8
- i10-Index
- 8
- Total Citations
- 240
- Citing Countries
- 14
As of May 2026.
Roberto C.S.N.P. Souza has an h-index of 8 and 240 total citations across 4 publications, with research cited by institutions in 14 countries.
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Global Impact Map
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Top Cited Works
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Antagonism also Flows through Retweets: The Impact of Out-of-Context Quotes in Opinion Polarization Analysis
201747
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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.
The researcher advanced opinion polarization analysis by demonstrating how out-of-context quotes in retweets propagate antagonism, a finding validated by high independent citation rates.
The researcher provided a foundational analysis of the Brazilian dairy market within the global context, establishing a critical benchmark for understanding national industry dynamics in international trade.
The researcher developed a novel methodology for detecting spatial clusters of dengue infection risk by leveraging social network data to trace transmission origins.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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