S. V. Nagaev

84 papers and 1.3k indexed citations i.

About

S. V. Nagaev is a scholar working on Management Science and Operations Research, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, S. V. Nagaev has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Management Science and Operations Research, 31 papers in Mathematical Physics and 24 papers in Statistics and Probability. Recurrent topics in S. V. Nagaev’s work include Probability and Risk Models (36 papers), Stochastic processes and statistical mechanics (23 papers) and Stochastic processes and financial applications (14 papers). S. V. Nagaev is often cited by papers focused on Probability and Risk Models (36 papers), Stochastic processes and statistical mechanics (23 papers) and Stochastic processes and financial applications (14 papers). S. V. Nagaev collaborates with scholars based in Russia, Germany and Ukraine. S. V. Nagaev's co-authors include Iosif Pinelis, Vitali Wachtel, Vladimir Rotar, Abram Kagan, Ė. L. Presman, Alexander Kukush and Volodymyr Kharchenko and has published in prestigious journals such as The Annals of Probability, Journal of Applied Probability and Statistics & Probability Letters.

In The Last Decade

Co-authorship network of co-authors of S. V. Nagaev i

Fields of papers citing papers by S. V. Nagaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. V. Nagaev. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. V. Nagaev. The network helps show where S. V. Nagaev may publish in the future.

Countries citing papers authored by S. V. Nagaev

Since Specialization
Citations

This map shows the geographic impact of S. V. Nagaev's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. V. Nagaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. V. Nagaev more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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