Institute of Computational Mathematics and Mathematical Geophysics

9.9k citations
1.8k papers ·

Impact in

Papers in

Institute of Computational Mathematics and Mathematical Geophysics

1.5k papers receiving 9.6k citations

Peers

Institute of Computational Mathematics and Mathematical Geophysics
Comparison fields: 5 of 185
  • Numerical Analysis 591
  • Atmospheric Science 1.8k
  • Mathematical Physics 730
  • Geophysics 976
  • Environmental Chemistry 669
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Institute of Computational Mathematics and Mathematical Geophysics relative to Lavrentyev Institute of Hydrodynamics Russia Lavrentyev Institute of Hydrodynamics's profile →
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Citations per year

Countries citing scholars working at Institute of Computational Mathematics and Mathematical Geophysics

Since Specialization
Citations

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

Fields of papers published by authors at Institute of Computational Mathematics and Mathematical Geophysics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Computational Mathematics and Mathematical Geophysics 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 Institute of Computational Mathematics and Mathematical Geophysics at the time of their publication.

About Institute of Computational Mathematics and Mathematical Geophysics

In recent decades, authors affiliated with Institute of Computational Mathematics and Mathematical Geophysics have published 1.8k papers, which have received a total of 9.9k indexed citations . Scholars at this organization have produced 127 papers in Numerical Analysis, 145 papers in Mathematical Physics, 197 papers in Geophysics, 239 papers in Atmospheric Science and 217 papers in Computational Theory and Mathematics on the topics of Numerical methods in inverse problems (116 papers), Seismic Imaging and Inversion Techniques (112 papers), Advanced Numerical Methods in Computational Mathematics (107 papers), Methane Hydrates and Related Phenomena (88 papers), Atmospheric and Environmental Gas Dynamics (83 papers), Advanced Mathematical Modeling in Engineering (78 papers), Meteorological Phenomena and Simulations (76 papers) and Differential Equations and Numerical Methods (71 papers). Their work is cited by papers focused on Numerical Analysis (591 citations), Atmospheric Science (1.8k citations), Mathematical Physics (730 citations), Geophysics (976 citations) and Environmental Chemistry (669 citations). Authors at Institute of Computational Mathematics and Mathematical Geophysics collaborate with scholars in Russia, Germany and United States and have published in prestigious journals including Lecture notes in computer science, Applied Mathematics Letters, Russian Geology and Geophysics, Journal of Computational Physics and Russian Journal of Numerical Analysis and Mathematical Modelling. Some of Institute of Computational Mathematics and Mathematical Geophysics's most productive authors include Karl K. Sabelfeld, Igor Kulikov, V. K. Gusiakov, Maxim Shishlenin, Olga Bandman, Sergey Kabanikhin, Vladimir Shakhov, Vladimir Penenko, G. A. Platov and Elena Golubeva.

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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