Yu. M. Berezansky

69 total papers · 948 total citations
26 papers, 538 citations indexed

About

Yu. M. Berezansky is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Yu. M. Berezansky has authored 26 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mathematical Physics, 7 papers in Applied Mathematics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Yu. M. Berezansky's work include Spectral Theory in Mathematical Physics (5 papers), Matrix Theory and Algorithms (4 papers) and Quantum chaos and dynamical systems (3 papers). Yu. M. Berezansky is often cited by papers focused on Spectral Theory in Mathematical Physics (5 papers), Matrix Theory and Algorithms (4 papers) and Quantum chaos and dynamical systems (3 papers). Yu. M. Berezansky collaborates with scholars based in Ukraine, Poland and Israel. Yu. M. Berezansky's co-authors include Yuri G. Kondratiev, D. Somasundaram, Michael Shmoish, Yu. G. Kondratiev, Eugene Lytvynov and Sergio Albeverio and has published in prestigious journals such as Mathematische Nachrichten, Functional Analysis and Its Applications and Integral Equations and Operator Theory.

In The Last Decade

Yu. M. Berezansky

22 papers receiving 463 citations

Author Peers

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

Author						Papers	Cites
Yu. M. Berezansky	230	181	96	80	72	26	538
Christian Léonard	144 0.6×	224 1.2×	69 0.7×	119 1.5×	134 1.9×	29	515
Florent Malrieu	201 0.9×	155 0.9×	37 0.4×	197 2.5×	186 2.6×	22	613
Servet Martı́nez	276 1.2×	47 0.3×	91 0.9×	70 0.9×	110 1.5×	42	496
Herb Kunze	219 1.0×	92 0.5×	180 1.9×	93 1.2×	38 0.5×	62	602
S. P. Lloyd	208 0.9×	84 0.5×	87 0.9×	147 1.8×	66 0.9×	18	613
Lorenzo Zambotti	254 1.1×	118 0.7×	126 1.3×	37 0.5×	99 1.4×	42	487
Peter Straka	90 0.4×	93 0.5×	29 0.3×	152 1.9×	36 0.5×	22	541
Vassilis G. Papanicolaou	232 1.0×	102 0.6×	158 1.6×	62 0.8×	37 0.5×	46	562
Paweł Hitczenko	240 1.0×	168 0.9×	61 0.6×	60 0.8×	113 1.6×	60	573
Ovidiu Calin	122 0.5×	286 1.6×	68 0.7×	99 1.2×	34 0.5×	52	581

Countries citing papers authored by Yu. M. Berezansky

Since Specialization

Citations

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

Fields of papers citing papers by Yu. M. Berezansky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. M. Berezansky. A scholar is included among the top collaborators of Yu. M. Berezansky 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. M. Berezansky. Yu. M. Berezansky 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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