Yu. S. Kharin

42 papers and 188 indexed citations i.

About

Yu. S. Kharin is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yu. S. Kharin has authored 42 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 12 papers in Control and Systems Engineering. Recurrent topics in Yu. S. Kharin’s work include Advanced Statistical Methods and Models (17 papers), Neural Networks and Applications (6 papers) and Financial Risk and Volatility Modeling (6 papers). Yu. S. Kharin is often cited by papers focused on Advanced Statistical Methods and Models (17 papers), Neural Networks and Applications (6 papers) and Financial Risk and Volatility Modeling (6 papers). Yu. S. Kharin collaborates with scholars based in Belarus, Russia and Lithuania. Yu. S. Kharin's co-authors include Konstantinos Fokianos, Roland Fried, М. Н. Стародубцева, N.I. Yegorenkov, М. В. Шуба and David E. Booth and has published in prestigious journals such as Technometrics, Journal of Biomechanics and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Yu. S. Kharin i

Fields of papers citing papers by Yu. S. Kharin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu. S. Kharin

Since Specialization
Citations

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