Yu. L. Pavlov

34 papers and 252 indexed citations i.

About

Yu. L. Pavlov is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Yu. L. Pavlov has authored 34 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mathematical Physics, 12 papers in Statistical and Nonlinear Physics and 9 papers in Signal Processing. Recurrent topics in Yu. L. Pavlov’s work include Stochastic processes and statistical mechanics (20 papers), Complex Network Analysis Techniques (12 papers) and Data Management and Algorithms (9 papers). Yu. L. Pavlov is often cited by papers focused on Stochastic processes and statistical mechanics (20 papers), Complex Network Analysis Techniques (12 papers) and Data Management and Algorithms (9 papers). Yu. L. Pavlov collaborates with scholars based in Russia and Finland. Yu. L. Pavlov's co-authors include Yu. V. Prokhorov, Vladimir V. Mazalov, V. F. Kolchin, Е. М. Матвеева and Е. П. Иешко and has published in prestigious journals such as Theory of Probability and Its Applications, Sbornik Mathematics and Journal of Mathematical Sciences.

In The Last Decade

Co-authorship network of co-authors of Yu. L. Pavlov i

Fields of papers citing papers by Yu. L. Pavlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. L. Pavlov. 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 Yu. L. Pavlov. The network helps show where Yu. L. Pavlov may publish in the future.

Countries citing papers authored by Yu. L. Pavlov

Since Specialization
Citations

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