Nivio Ziviani: h-index, Total Citations, and Citation Map
Nivio Ziviani's h-index is 46 (109 i10-index, 6,948+ total citations across 4+ publications) according to Google Scholar as of May 2026. Nivio Ziviani is affiliated with Professor Emeritus of Computer Science, Univ. Federal de Minas Gerais, Co-founder of Kunumi.
Nivio Ziviani is a researcher affiliated with Professor Emeritus of Computer Science, Univ. Federal de Minas Gerais, Co-founder of Kunumi, specializing in Information Retrieval, Machine Learning, Neural Networks. Their work has been cited 6,948 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Nivio Ziviani's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 46
- i10-Index
- 109
- Total Citations
- 6,948
- Citing Countries
- 12
As of May 2026.
Nivio Ziviani has an h-index of 46 and 6,948 total citations across 4 publications, with research cited by institutions in 12 countries.
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Global Impact Map
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Top Cited Works
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Fast and flexible word searching on compressed text
2000348
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.
The researcher developed fast and flexible word searching methods on compressed text, a seminal contribution evidenced by a highly cited 2000 paper.
The researcher established a foundational framework for algorithm design and implementation in Pascal and C, as evidenced by their seminal 2004 monograph.
The researcher introduced concept-based interactive query expansion, a method that enhances search relevance by allowing users to refine queries through conceptual feedback.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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