Michaelangelo Tabone: h-index, Total Citations, and Citation Map
Michaelangelo Tabone's h-index is 14 (14 i10-index, 1,305+ total citations across 5+ publications) according to Google Scholar as of May 2026. Michaelangelo Tabone is affiliated with Software Engineer, Google Nest.
Michaelangelo Tabone is a researcher affiliated with Software Engineer, Google Nest, specializing in Energy Efficiency, Renewable Energy, Demand Response. Their work has been cited 1,305 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Michaelangelo Tabone's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 14
- i10-Index
- 14
- Total Citations
- 1,305
- Citing Countries
- 16
As of May 2026.
Michaelangelo Tabone has an h-index of 14 and 1,305 total citations across 5 publications, with research cited by institutions in 16 countries.
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Global Impact Map
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Top Cited Works
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Sustainability metrics: life cycle assessment and green design in polymers
2010544
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 established foundational sustainability metrics by integrating life cycle assessment with green design principles for polymers, creating a widely adopted framework for evaluating environmental impact in material science.
The researcher established a framework for estimating demand response potential using smart meter data to facilitate solar energy integration.
The researcher developed a hidden state spatial statistical approach to model the variability and uncertainty of photovoltaic generation, establishing a foundational framework for renewable energy forecasting.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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