Computational Mathematics and Mathematical Physics

15.5k citations
3.2k papers · · active since 2016

Impact in

Papers in

    • Differential Equations and Numerical Methods 625
    • Numerical methods for differential equations 226
    • Differential Equations and Boundary Problems 456

Computational Mathematics and Mathematical Physics

2.6k papers receiving 14.4k citations

Peers

Computational Mathematics and Mathematical Physics
Comparison fields: 5 of 162
  • Numerical Analysis 4.5k
  • Applied Mathematics 4.1k
  • Mathematical Physics 2.6k
  • Computational Theory and Mathematics 3.5k
  • Computational Mathematics 126
Replace Doklady Mathematics with:
Doklady Mathematics Russia
IMA Journal of Applied Mathematics United Kingdom
International Statistical Review United States
The Quarterly Journal of Mechanics and Applied Mathematics United Kingdom
ESAIM Mathematical Modelling and Numerical Analysis France
Communications in Computational Physics China
Advances in Computational Mathematics United States
Quarterly of Applied Mathematics United States
Journal of Applied Mathematics and Mechanics Russia
International Journal of Engineering Science United States
Computational Mathematics and Mathematical Physics relative to Doklady Mathematics Russia Doklady Mathematics's profile →
Citations per field
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Doklady Mathematics · 1×
Citations per year

Countries where authors publish in Computational Mathematics and Mathematical Physics

Since Specialization
Citations

This map shows the geographic impact of research published in Computational Mathematics and Mathematical Physics. 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 published in Computational Mathematics and Mathematical Physics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Mathematics and Mathematical Physics more than expected).

Fields of papers published in Computational Mathematics and Mathematical Physics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computational Mathematics and Mathematical Physics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computational Mathematics and Mathematical Physics.

About Computational Mathematics and Mathematical Physics

The 3.2k papers published in Computational Mathematics and Mathematical Physics in the last decades have received a total of 15.5k indexed citations . Papers published in Computational Mathematics and Mathematical Physics usually cover Numerical Analysis (1.0k papers), Applied Mathematics (917 papers), Mathematical Physics (540 papers), Computational Theory and Mathematics (776 papers) and Computational Mechanics (784 papers) specifically the topics of Differential Equations and Numerical Methods (625 papers), Differential Equations and Boundary Problems (456 papers), Numerical methods in inverse problems (343 papers), Advanced Mathematical Modeling in Engineering (334 papers), Computational Fluid Dynamics and Aerodynamics (298 papers), Advanced Numerical Methods in Computational Mathematics (228 papers), Numerical methods for differential equations (226 papers) and Fluid Dynamics and Turbulent Flows (208 papers). The most active scholars publishing in Computational Mathematics and Mathematical Physics are Anatoly B. Bakushinskii, Н. Н. Нефедов, Sergei Aleksandrovich Nazarov, Alexander Anatolievich Zlotnik, Felix Grigorievich Tcheremissine, Г. В. Алексеев, Gregorii I. Shishkin, Anatoly Antipin, Alexander Yu. Chebotarev and Valery V. Karachik.

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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