A. M. Zubkov

40 papers and 398 indexed citations i.

About

A. M. Zubkov is a scholar working on Mathematical Physics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, A. M. Zubkov has authored 40 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mathematical Physics, 11 papers in Statistics and Probability and 10 papers in Artificial Intelligence. Recurrent topics in A. M. Zubkov’s work include Stochastic processes and statistical mechanics (18 papers), Bayesian Methods and Mixture Models (8 papers) and Probability and Risk Models (6 papers). A. M. Zubkov is often cited by papers focused on Stochastic processes and statistical mechanics (18 papers), Bayesian Methods and Mixture Models (8 papers) and Probability and Risk Models (6 papers). A. M. Zubkov collaborates with scholars based in Russia, Tajikistan and Hong Kong. A. M. Zubkov's co-authors include Vladimir Vatutin, Boris Alexandrovich Sevast'yanov, Владимир Гаврилович Михайлов, Vladimir Rykov and Nozer D. Singpurwalla and has published in prestigious journals such as Lecture notes in computer science, Theory of Probability and Its Applications and Discrete Mathematics and Applications.

In The Last Decade

Co-authorship network of co-authors of A. M. Zubkov i

Fields of papers citing papers by A. M. Zubkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. M. Zubkov. 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 A. M. Zubkov. The network helps show where A. M. Zubkov may publish in the future.

Countries citing papers authored by A. M. Zubkov

Since Specialization
Citations

This map shows the geographic impact of A. M. Zubkov'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 A. M. Zubkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. M. Zubkov 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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