Yu. L. Daletskiǐ

35 total papers · 487 total citations
27 papers, 304 citations indexed

About

Yu. L. Daletskiǐ is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Yu. L. Daletskiǐ has authored 27 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mathematical Physics, 11 papers in Computational Theory and Mathematics and 11 papers in Applied Mathematics. Recurrent topics in Yu. L. Daletskiǐ's work include Advanced Topics in Algebra (5 papers), Advanced Mathematical Modeling in Engineering (5 papers) and advanced mathematical theories (5 papers). Yu. L. Daletskiǐ is often cited by papers focused on Advanced Topics in Algebra (5 papers), Advanced Mathematical Modeling in Engineering (5 papers) and advanced mathematical theories (5 papers). Yu. L. Daletskiǐ collaborates with scholars based in Russia. Yu. L. Daletskiǐ's co-authors include Ya. I. Belopolskaya, Sergey Fomin, Boris Tsygan, Israel M. Gelfand, O. G. Smolyanov, S. S. Kutateladze, Yu. G. Reshetnyak, М. М. Лаврентьев, Э. М. Семенов and Yu. M. Berezanskiĭ and has published in prestigious journals such as Lecture notes in mathematics, Russian Mathematical Surveys and Functional Analysis and Its Applications.

In The Last Decade

Yu. L. Daletskiǐ

20 papers receiving 208 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yu. L. Daletskiǐ 167 133 93 80 43 27 304
O. G. Smolyanov 201 1.2× 108 0.8× 95 1.0× 40 0.5× 28 0.7× 35 313
J. R. Baxter 189 1.1× 98 0.7× 96 1.0× 74 0.9× 20 0.5× 36 365
Jacob Korevaar 132 0.8× 147 1.1× 58 0.6× 36 0.5× 33 0.8× 25 355
Yu. M. Berezanskiĭ 179 1.1× 104 0.8× 108 1.2× 14 0.2× 52 1.2× 39 278
Heinrich von Weizsäcker 214 1.3× 103 0.8× 76 0.8× 70 0.9× 11 0.3× 36 350
Klaus Bichteler 149 0.9× 102 0.8× 28 0.3× 173 2.2× 23 0.5× 20 354
Halim Doss 133 0.8× 54 0.4× 53 0.6× 148 1.9× 44 1.0× 13 298
Eugene Lytvynov 215 1.3× 103 0.8× 25 0.3× 70 0.9× 22 0.5× 37 312
Michael Demuth 281 1.7× 127 1.0× 153 1.6× 13 0.2× 56 1.3× 48 347
J. I. Horváth 155 0.9× 132 1.0× 57 0.6× 12 0.1× 13 0.3× 21 329

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. L. Daletskiǐ. A scholar is included among the top collaborators of Yu. L. Daletskiǐ based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu. L. Daletskiǐ. Yu. L. Daletskiǐ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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