M. Yu. Uleysky

129 total papers · 1.3k total citations
75 papers, 955 citations indexed

About

M. Yu. Uleysky is a scholar working on Oceanography, Atmospheric Science and Statistical and Nonlinear Physics. According to data from OpenAlex, M. Yu. Uleysky has authored 75 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Oceanography, 33 papers in Atmospheric Science and 29 papers in Statistical and Nonlinear Physics. Recurrent topics in M. Yu. Uleysky's work include Oceanographic and Atmospheric Processes (35 papers), Quantum chaos and dynamical systems (29 papers) and Arctic and Antarctic ice dynamics (19 papers). M. Yu. Uleysky is often cited by papers focused on Oceanographic and Atmospheric Processes (35 papers), Quantum chaos and dynamical systems (29 papers) and Arctic and Antarctic ice dynamics (19 papers). M. Yu. Uleysky collaborates with scholars based in Russia, China and United States. M. Yu. Uleysky's co-authors include M. V. Budyansky, S. V. Prants, Денис В. Макаров, В. И. Пономарев, S. V. Prants, А. Г. Андреев, V. B. Lobanov, G. M. Zaslavsky, В. В. Кулик and Т. В. Белоненко and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Review A and Marine Pollution Bulletin.

In The Last Decade

M. Yu. Uleysky

70 papers receiving 897 citations

Author Peers

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

Author Last Decade Papers Cites
M. Yu. Uleysky 621 339 307 229 197 75 955
M. V. Budyansky 608 1.0× 345 1.0× 216 0.7× 245 1.1× 210 1.1× 77 855
Jarle Berntsen 712 1.1× 386 1.1× 34 0.1× 370 1.6× 94 0.5× 46 1.2k
Glenn Ierley 554 0.9× 257 0.8× 94 0.3× 271 1.2× 22 0.1× 52 1.1k
Michaël Berhanu 242 0.4× 164 0.5× 76 0.2× 43 0.2× 21 0.1× 49 1.2k
Stefano Pierini 750 1.2× 501 1.5× 126 0.4× 550 2.4× 32 0.2× 77 1.1k
Makoto Okamura 247 0.4× 453 1.3× 93 0.3× 39 0.2× 115 0.6× 71 1.1k
Edmund W. Tedford 228 0.4× 166 0.5× 144 0.5× 96 0.4× 70 0.4× 25 892
Hitoshi Tamura 948 1.5× 550 1.6× 95 0.3× 226 1.0× 38 0.2× 43 1.2k
Larry J. Pratt 779 1.3× 481 1.4× 60 0.2× 290 1.3× 60 0.3× 46 1.0k
E. Salusti 617 1.0× 343 1.0× 57 0.2× 180 0.8× 56 0.3× 97 1.2k

Countries citing papers authored by M. Yu. Uleysky

Since Specialization
Citations

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

Fields of papers citing papers by M. Yu. Uleysky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Yu. Uleysky

This figure shows the co-authorship network connecting the top 25 collaborators of M. Yu. Uleysky. A scholar is included among the top collaborators of M. Yu. Uleysky 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 M. Yu. Uleysky. M. Yu. Uleysky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026