Yu. L. Daletskiǐ

24 papers and 231 indexed citations i.

About

Yu. L. Daletskiǐ is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Yu. L. Daletskiǐ has authored 24 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 11 papers in Applied Mathematics and 10 papers in Mathematical Physics. Recurrent topics in Yu. L. Daletskiǐ’s work include Advanced Mathematical Modeling in Engineering (5 papers), advanced mathematical theories (4 papers) and Inverse Problems in Mathematical Physics and Imaging (3 papers). Yu. L. Daletskiǐ is often cited by papers focused on Advanced Mathematical Modeling in Engineering (5 papers), advanced mathematical theories (4 papers) and Inverse Problems in Mathematical Physics and Imaging (3 papers). Yu. L. Daletskiǐ collaborates with scholars based in and . Yu. L. Daletskiǐ's co-authors include Sergey Fomin, Ya. I. Belopolskaya, Boris Tsygan, O. G. Smolyanov, Vladimir I. Arnold, Э. М. Семенов, Yu. M. Berezanskiĭ, М. М. Лаврентьев, S. S. Kutateladze and Yu. G. Reshetnyak and has published in prestigious journals such as Russian Mathematical Surveys, Functional Analysis and Its Applications and Theory of Probability and Its Applications.

In The Last Decade

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

Fields of papers citing papers by Yu. L. Daletskiǐ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu. L. Daletskiǐ

Since Specialization
Citations

This map shows the geographic impact of Yu. L. Daletskiǐ'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. Daletskiǐ 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. Daletskiǐ 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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