Spencer J. Fox: h-index, Total Citations, and Citation Map
Spencer J. Fox's h-index is 22 (31 i10-index, 2,623+ total citations across 5+ publications) according to Google Scholar as of May 2026. Spencer J. Fox is affiliated with Assistant Professor, Northern Arizona University.
Spencer J. Fox is a researcher affiliated with Assistant Professor, Northern Arizona University, specializing in Infectious disease modeling. Their work has been cited 2,623 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Spencer J. Fox's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 22
- i10-Index
- 31
- Total Citations
- 2,623
- Citing Countries
- 20
As of May 2026.
Spencer J. Fox has an h-index of 22 and 2,623 total citations across 5 publications, with research cited by institutions in 20 countries.
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Top Cited Works
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Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
2022459
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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 pioneered collaborative, multi-model frameworks for seasonal influenza forecasting, establishing a rigorous benchmark for predictive accuracy in public health surveillance.
The researcher established a rigorous framework for evaluating individual and ensemble probabilistic forecasts of US COVID-19 mortality, providing critical benchmarks for pandemic modeling accuracy.
The researcher provided early empirical evidence on how social distancing measures impacted healthcare demand during the initial phase of the COVID-19 pandemic in Central Texas.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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