Robert M. Ziff: h-index, Total Citations, and Citation Map
Robert M. Ziff's h-index is 65 (168 i10-index, 16,601+ total citations across 3+ publications) according to Google Scholar as of May 2026. Robert M. Ziff is affiliated with Department of Chemical Engineering, University of Michigan.
Robert M. Ziff is a researcher affiliated with Department of Chemical Engineering, University of Michigan, specializing in Statistical physics, percolation, Bose-Einstein condensation. Their work has been cited 16,601 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Robert M. Ziff's Citation Metrics
Bibliometric impact based on 3 indexed publications. Of these, 0 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 65
- i10-Index
- 168
- Total Citations
- 16,601
- Citing Countries
- 12
As of May 2026.
Robert M. Ziff has an h-index of 65 and 16,601 total citations across 3 publications, with research cited by institutions in 12 countries.
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Top Cited Works
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Kinetic phase transitions in an irreversible surface-reaction model
19861,300
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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 foundational framework for understanding kinetic phase transitions in irreversible surface-reaction models, a seminal contribution that has significantly influenced the field of statistical physics.
The researcher developed an efficient Monte Carlo algorithm for percolation, yielding high-precision results that established a new computational standard in the field.
The researcher developed a fast Monte Carlo algorithm for site or bond percolation, a seminal contribution that established an efficient computational standard for simulating percolation processes in complex systems.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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