Professor | Charles University | Czech Republic
Prof. Lev B. Klebanov is a distinguished Professor of Probability and Mathematical Statistics at Charles University, Prague, recognized internationally for his pioneering work in probability theory and mathematical statistics, with special emphasis on limit theorems, heavy-tailed and stable distributions, robust statistical inference, random summation models, and distance-based statistical methods with applications in biostatistics, insurance, and finance. He earned his M.Sc. in Mathematics in 1970, followed by a Ph.D. in Mathematics from the Saint Petersburg Department of the Steklov Mathematical Institute in 1973, and later achieved his Doctor of Sciences (D.Sc.) in Mathematics from Saint Petersburg State University in 1986. His professional experience spans decades of teaching, mentoring, and research, combined with international visiting professorships and editorial contributions to major mathematical journals and conferences, reflecting both academic depth and global outreach. Prof. Klebanov’s research interests are vast and interdisciplinary, ranging from the characterization of probability distributions to statistical genetics, as reflected in publications such as his influential work in Nature and Statistical Applications in Genetics and Molecular Biology. He is also a prolific author of books and monographs, including N-Distances and Their Applications and The Methods of Distances in the Theory of Probability and Statistics. His research skills demonstrate a unique ability to bridge theoretical advancements with applied solutions in complex domains, making his work relevant for both academia and industry. He has played leadership roles as an organizer and participant in high-level international conferences, further strengthening his reputation as a global thought leader. Prof. Klebanov has been honored with prestigious recognitions such as the Jarník’s Lecture (2014) for his contributions to probability theory. His Scopus profile records 1,188 citations by 991 documents, 105 indexed publications, and an h-index of 17, underscoring his scholarly impact. In conclusion, Prof. Klebanov exemplifies academic excellence, international collaboration, and innovative research leadership, making him a highly deserving candidate for global recognition in mathematics and probability theory.
Profiles: Scopus | Google Scholar | ORCID
Featured Publications
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Klebanov, L. B., Rachev, S. T., & Yakovlev, A. Y. (1993). A stochastic model of radiation carcinogenesis: Latent time distributions and their properties. Mathematical Biosciences, 113(1), 51–75. Cited by 73.
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Klebanov, L., Jordan, C., & Yakovlev, A. (2006). A new type of stochastic dependence revealed in gene expression data. Statistical Applications in Genetics and Molecular Biology, 5(1). Cited by 58.
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Klebanov, L., & Rachev, S. (1996). Sums of a random number of random variables and their approximations with ν-accompanying infinitely divisible laws. Serdica Mathematical Journal, 22(4), 471–496. Cited by 57.
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Klebanov, L., Qiu, X., Welle, S., & Yakovlev, A. (2007). Statistical methods and microarray data. Nature Biotechnology, 25(1), 25–26. Cited by 55.
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Rachev, S. T., Klebanov, L. B., Stoyanov, S. V., & Fabozzi, F. (2013). The methods of distances in the theory of probability and statistics. Springer. Cited by 224.