Sarah A. Kusumastuti: h-index, Total Citations, and Citation Map
Sarah A. Kusumastuti's h-index is 4 (1 i10-index, 33+ total citations across 9+ publications) according to Google Scholar as of May 2026. Sarah A. Kusumastuti is affiliated with University of Twente.
Sarah A. Kusumastuti is a researcher affiliated with University of Twente, specializing in judgment and decision making, human factors, decision making under uncertainty. Their work has been cited 33 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sarah A. Kusumastuti's Citation Metrics
Bibliometric impact based on 9 indexed publications. Of these, 8 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 4
- i10-Index
- 1
- Total Citations
- 33
- Citing Countries
- 5
As of May 2026.
Sarah A. Kusumastuti has an h-index of 4 and 33 total citations across 9 publications, with research cited by institutions in 5 countries.
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Global Impact Map
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Top Cited Works
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Practice improves performance of a 2D uncertainty integration task within and across visualizations
202211
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.
18 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced understanding of how practice enhances performance in 2D uncertainty integration tasks across different visualization types, establishing a foundational framework for skill acquisition in data visualization.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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