Sergei Leonov: h-index, Total Citations, and Citation Map
Sergei Leonov's h-index is 18 (27 i10-index, 1,296+ total citations across 4+ publications) according to Google Scholar as of May 2026. Sergei Leonov is affiliated with CSL.
Sergei Leonov is a researcher affiliated with CSL, specializing in Optimal experimental design, PK/PD modeling, nonparametric statistics. Their work has been cited 1,296 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sergei Leonov's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 18
- i10-Index
- 27
- Total Citations
- 1,296
- Citing Countries
- 14
As of May 2026.
Sergei Leonov has an h-index of 18 and 1,296 total citations across 4 publications, with research cited by institutions in 14 countries.
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Global Impact Map
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Top Cited Works
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Optimal Design for Nonlinear Response Models
2013363
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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.
The researcher established foundational methodologies for optimal population designs in pharmacokinetic models, extending these principles to broader nonlinear response frameworks.
The researcher developed nonparametric methods for clutter removal, establishing a foundational approach that has been widely adopted by independent scholars in the field.
The researcher developed foundational methods and software tools for design evaluation in population pharmacokinetics-pharmacodynamics studies, establishing a critical framework for optimizing clinical trial designs.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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