Elverton Fazzion: h-index, Total Citations, and Citation Map
Elverton Fazzion's h-index is 8 (7 i10-index, 507+ total citations across 5+ publications) according to Google Scholar as of June 2026. Elverton Fazzion is affiliated with Universidade Federal de São João del Rei.
Elverton Fazzion is a researcher affiliated with Universidade Federal de São João del Rei, specializing in Computer Networks, Internet measurements, Internet security. Their work has been cited 507 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Elverton Fazzion's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 8
- i10-Index
- 7
- Total Citations
- 507
- Citing Countries
- 22
As of June 2026.
Elverton Fazzion has an h-index of 8 and 507 total citations across 5 publications, with research cited by institutions in 22 countries.
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Global Impact Map
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The evolution of bashlite and mirai iot botnets
2018291
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 provided a seminal analysis of the evolution of Bashlite and Mirai IoT botnets, establishing a foundational framework for understanding the lifecycle and adaptation of these major cyber threats.
The researcher advanced quantum-dot cellular automata processor design, establishing a foundational architectural framework that has been independently adopted by the broader scientific community.
The researcher developed a framework for measuring, characterizing, and avoiding spam traffic costs, establishing a foundational approach to quantifying and mitigating these network inefficiencies.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Elverton Fazzion's research
Elverton Fazzion is a researcher in Computer Networks, Internet measurements and Internet security at Universidade Federal de São João del Rei. Their work has been cited 507 times across 5 publications (h-index 8), according to Google Scholar.
Their most-cited work, “The evolution of bashlite and mirai iot botnets” (2018), has accumulated 291 citations. Other influential works include “Measuring, Characterizing, and Avoiding Spam Traffic Costs” (2016) with 37 citations and “Identifying Networks Vulnerable to IP Spoofing” (2021) with 29 citations.
Citations of Elverton Fazzion's research come primarily from United States, Germany and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
