Arlei Silva: h-index, Total Citations, and Citation Map
Arlei Silva's h-index is 16 (26 i10-index, 1,433+ total citations across 75+ publications) according to Google Scholar as of May 2026. Arlei Silva is affiliated with Rice University.
Arlei Silva is a researcher affiliated with Rice University, specializing in Data Mining, Algorithms, Machine Learning. Their work has been cited 1,433 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Arlei Silva's Citation Metrics
Bibliometric impact based on 75 indexed publications.
- H-Index
- 16
- i10-Index
- 26
- Total Citations
- 1,433
- Citing Countries
- 20
As of May 2026.
Arlei Silva has an h-index of 16 and 1,433 total citations across 75 publications, with research cited by institutions in 20 countries.
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Global Impact Map
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Top Cited Works
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Watch me Playing, I am a Professional: a First Study on Video Game Live Streaming
2012478
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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 pioneered the empirical study of video game live streaming, establishing a foundational framework for analyzing this emerging social media phenomenon through a seminal 2012 publication.
The researcher developed methods for mining attribute-structure correlated patterns in large attributed graphs, a foundational contribution to graph data mining published in a top-tier venue.
The researcher developed ProfileRank, a method for identifying relevant content and influential users by analyzing information diffusion patterns in social networks.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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