M. E. Bogovskiï

21 total papers · 607 total citations
12 papers, 384 citations indexed

About

M. E. Bogovskiï is a scholar working on Applied Mathematics, Mathematical Physics and Numerical Analysis. According to data from OpenAlex, M. E. Bogovskiï has authored 12 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Mathematics, 4 papers in Mathematical Physics and 3 papers in Numerical Analysis. Recurrent topics in M. E. Bogovskiï's work include Navier-Stokes equation solutions (4 papers), Iterative Methods for Nonlinear Equations (3 papers) and Advanced Mathematical Modeling in Engineering (3 papers). M. E. Bogovskiï is often cited by papers focused on Navier-Stokes equation solutions (4 papers), Iterative Methods for Nonlinear Equations (3 papers) and Advanced Mathematical Modeling in Engineering (3 papers). M. E. Bogovskiï collaborates with scholars based in Russia and United States. M. E. Bogovskiï's co-authors include В. А. Ильин, E. F. Mishchenko, S L Sobolev, V. P. Maslov, Sergei M Nikol'skii, Vasilii S Vladimirov, N. S. Bakhvalov and A. V. Arutyunov and has published in prestigious journals such as Russian Mathematical Surveys, Siberian Mathematical Journal and Doklady Mathematics.

In The Last Decade

M. E. Bogovskiï

8 papers receiving 331 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. E. Bogovskiï 300 205 161 117 115 12 384
Sebastian Schwarzacher 291 1.0× 246 1.2× 137 0.9× 52 0.4× 72 0.6× 31 357
Matthias Geißert 244 0.8× 202 1.0× 128 0.8× 97 0.8× 101 0.9× 22 370
Giovanni Maria Troianiello 281 0.9× 295 1.4× 148 0.9× 47 0.4× 69 0.6× 16 442
Gabriela Planas 338 1.1× 124 0.6× 145 0.9× 185 1.6× 124 1.1× 34 446
G. Raugel 92 0.3× 175 0.9× 102 0.6× 113 1.0× 164 1.4× 11 374
Francesca Crispo 334 1.1× 162 0.8× 142 0.9× 109 0.9× 120 1.0× 32 366
T. Bratanow 120 0.4× 118 0.6× 73 0.5× 99 0.8× 197 1.7× 17 343
Emilio Gagliardo 258 0.9× 137 0.7× 158 1.0× 26 0.2× 41 0.4× 14 389
Taku Yanagisawa 306 1.0× 134 0.7× 199 1.2× 65 0.6× 148 1.3× 25 373
Andrea Giorgini 167 0.6× 254 1.2× 39 0.2× 32 0.3× 121 1.1× 24 421

Countries citing papers authored by M. E. Bogovskiï

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Bogovskiï

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. E. Bogovskiï

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