Samuel F. Way: h-index, Total Citations, and Citation Map
Samuel F. Way's h-index is 16 (20 i10-index, 1,736+ total citations across 47+ publications) according to Google Scholar as of May 2026. Samuel F. Way is affiliated with Applied ML Scientist @ Flatiron Health.
Samuel F. Way is a researcher affiliated with Applied ML Scientist @ Flatiron Health, specializing in AI/ML, Data Science, Complex Systems. Their work has been cited 1,736 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Samuel F. Way's Citation Metrics
Bibliometric impact based on 47 indexed publications.
- H-Index
- 16
- i10-Index
- 20
- Total Citations
- 1,736
- Citing Countries
- 22
As of May 2026.
Samuel F. Way has an h-index of 16 and 1,736 total citations across 47 publications, with research cited by institutions in 22 countries.
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Global Impact Map
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Top Cited Works
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The unequal impact of parenthood in academia
2021370
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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 established a quantitative framework for analyzing how gender, productivity, and prestige shape hiring networks and career outcomes in computer science and broader academia.
The researcher advanced microbial ecology by empirically evaluating whether taxonomic composition or functional potential better predicts community classification, establishing a foundational framework for interpreting microbiome data.
The researcher challenged the canonical narrative of faculty productivity trajectories, offering a critical re-evaluation of academic career progression metrics published in PNAS.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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