Russian New University

12.9k citations
1.8k papers ·

Impact in

    • Differential Equations and Boundary Problems
    • Nonlinear Differential Equations Analysis
    • Nonlinear Partial Differential Equations
    • Differential Equations and Numerical Methods

Papers in

    • Differential Equations and Boundary Problems 64
    • Mathematical Inequalities and Applications 39
    • Differential Equations and Numerical Methods 54

Russian New University

1.4k papers receiving 12.3k citations

Peers

Russian New University
Comparison fields: 5 of 237
  • Applied Mathematics 1.7k
  • Numerical Analysis 628
  • Modeling and Simulation 427
  • Health, Toxicology and Mutagenesis 950
  • Mathematical Physics 610
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Russian New University relative to Yaroslavl State University Russia Yaroslavl State University's profile →
Citations per field
00.5×5.5×
Yaroslavl State University · 1×
Citations per year

Countries citing scholars working at Russian New University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Russian New University. 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 papers produced at Russian New University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russian New University more than expected).

Fields of papers published by authors at Russian New University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Russian New University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Russian New University at the time of their publication.

About Russian New University

In recent decades, authors affiliated with Russian New University have published 1.8k papers, which have received a total of 12.9k indexed citations . Scholars at this organization have produced 186 papers in Applied Mathematics, 75 papers in Numerical Analysis, 5 papers in Nuclear Energy and Engineering, 39 papers in Development and 86 papers in Mathematical Physics on the topics of Differential Equations and Boundary Problems (64 papers), Differential Equations and Numerical Methods (54 papers), Language, Communication, and Linguistic Studies (47 papers), Discourse Analysis and Cultural Communication (44 papers), Mathematical Inequalities and Applications (39 papers), Economic and Technological Developments in Russia (36 papers), Advanced Mathematical Modeling in Engineering (36 papers) and Advanced Mathematical Physics Problems (34 papers). Their work is cited by papers focused on Applied Mathematics (1.7k citations), Numerical Analysis (628 citations), Modeling and Simulation (427 citations), Health, Toxicology and Mutagenesis (950 citations) and Mathematical Physics (610 citations). Authors at Russian New University collaborate with scholars in Russia, United States and Italy and have published in prestigious journals including Journal of Inequalities and Applications, Journal of Hypertension, The Russian Review, Biological Trace Element Research and Advances in Difference Equations. Some of Russian New University's most productive authors include Maria Alessandra Ragusa, Alexey A. Tinkov, Armando J. L. Pombeiro, Kamran T. Mahmudov⧫, M. Fátima C. Guedes da Silva, А. Л. Скубачевский, Anatoly V. Skalny, Joanna Suliburska, Atsushi Tachikawa and Andrey A. Skalny.

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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