Vladimir Anisimov; Volodymyr Anisimov: h-index, Total Citations, and Citation Map
Vladimir Anisimov; Volodymyr Anisimov's h-index is 28 (66 i10-index, 2,678+ total citations across 3+ publications) according to Google Scholar as of May 2026. Vladimir Anisimov; Volodymyr Anisimov is affiliated with Center for Design & Analysis at Amgen Inc.
Vladimir Anisimov; Volodymyr Anisimov is a researcher affiliated with Center for Design & Analysis at Amgen Inc, specializing in Modelling Clinical Trials, Probability, Statistics. Their work has been cited 2,678 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Vladimir Anisimov; Volodymyr Anisimov's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 28
- i10-Index
- 66
- Total Citations
- 2,678
- Citing Countries
- 8
As of May 2026.
Vladimir Anisimov; Volodymyr Anisimov has an h-index of 28 and 2,678 total citations across 3 publications, with research cited by institutions in 8 countries.
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Top Cited Works
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Limit theorems for sums of random variables in an array of sequences defined on a subset of states of a Markov chain up to the exit time
1974199
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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 foundational limit theorems for sums of random variables in Markov chain arrays up to exit times, a seminal contribution widely adopted by independent scholars.
The researcher developed a framework for modelling, predicting, and adaptively adjusting recruitment in multicentre trials, addressing critical logistical challenges in clinical trial management.
The researcher advanced queueing theory by analyzing Markov multiserver retrial queues with negative arrivals, a seminal contribution published in Queueing Systems that has garnered significant independent scholarly attention.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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