Leonardo Chaves Dutra da Rocha: h-index, Total Citations, and Citation Map
Leonardo Chaves Dutra da Rocha's h-index is 30 (78 i10-index, 3,603+ total citations across 5+ publications) according to Google Scholar as of May 2026. Leonardo Chaves Dutra da Rocha is affiliated with Professor of Computer Science, Federal University of São João Del Rei.
Leonardo Chaves Dutra da Rocha is a researcher affiliated with Professor of Computer Science, Federal University of São João Del Rei, specializing in Data Mining, Machine Learning, Recommendation Systems. Their work has been cited 3,603 times. This profile visualizes their global influence, highlighting strong citation networks in Brazil.
Leonardo Chaves Dutra da Rocha's Citation Metrics
Bibliometric impact based on 5 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 30
- i10-Index
- 78
- Total Citations
- 3,603
- Citing Countries
- 21
As of May 2026.
Leonardo Chaves Dutra da Rocha has an h-index of 30 and 3,603 total citations across 5 publications, with research cited by institutions in 21 countries.
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Global Impact Map
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Top Cited Works
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G-dbscan: A gpu accelerated algorithm for density-based clustering
2013206
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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 G-dbscan, a GPU-accelerated algorithm for density-based clustering, significantly enhancing computational efficiency for large-scale data analysis tasks.
The researcher advanced text classification by introducing word co-occurrence features, a method that captures contextual relationships to improve accuracy, as evidenced by the seminal 2011 publication in Information Systems.
The researcher developed a foundational framework for migrating relational datasets to NoSQL, establishing a critical methodological bridge between traditional and modern database architectures.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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