Ian Hiskens: h-index, Total Citations, and Citation Map
Ian Hiskens's h-index is 61 (174 i10-index, 18,840+ total citations across 5+ publications) according to Google Scholar as of May 2026. Ian Hiskens is affiliated with University of Michigan.
Ian Hiskens is a researcher affiliated with University of Michigan, specializing in various fields. Their work has been cited 18,840 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ian Hiskens's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 61
- i10-Index
- 174
- Total Citations
- 18,840
- Citing Countries
- 24
As of May 2026.
Ian Hiskens has an h-index of 61 and 18,840 total citations across 5 publications, with research cited by institutions in 24 countries.
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Global Impact Map
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Top Cited Works
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Definition and classification of power system stability–revisited & extended
20201,748
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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 pioneered distributed MPC strategies for power system control, establishing a foundational framework for managing electric load controllability that has significantly influenced the field.
The researcher developed a foundational framework for trajectory sensitivity analysis in hybrid systems, establishing a critical methodological standard for analyzing complex dynamical behaviors.
The researcher developed a seminal framework for decentralized charging control of large plug-in electric vehicle populations, establishing a foundational approach for managing grid interactions at scale.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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