Lenka Zdeborová: h-index, Total Citations, and Citation Map
Lenka Zdeborová's h-index is 68 (162 i10-index, 20,353+ total citations across 158+ publications) according to Google Scholar as of May 2026. Lenka Zdeborová is affiliated with EPFL, Switzerland.
Lenka Zdeborová is a researcher affiliated with EPFL, Switzerland, specializing in statistical physics, learning theory, phase transitions. Their work has been cited 20,353 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Lenka Zdeborová's Citation Metrics
Bibliometric impact based on 158 indexed publications. Of these, 12 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 68
- i10-Index
- 162
- Total Citations
- 20,353
- Citing Countries
- 22
As of May 2026.
Lenka Zdeborová has an h-index of 68 and 20,353 total citations across 158 publications, with research cited by institutions in 22 countries.
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We've mapped 5,000 of 20,353 citations for Lenka Zdeborová
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Global Impact Map
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Top Cited Works
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Machine learning and the physical sciences
20193,409
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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 statistical physics framework for analyzing random constraint satisfaction problems, a foundational approach that has significantly influenced subsequent research in machine learning and inference.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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