Russian Mathematical Surveys
About
The 3.8k papers published in Russian Mathematical Surveys in the last decades have received a total of 59.5k indexed citations.
Papers published in Russian Mathematical Surveys usually cover Mathematical Physics (1.4k papers), Geometry and Topology (1.1k papers) and Applied Mathematics (982 papers) specifically the topics of Advanced Topics in Algebra (398 papers), advanced mathematical theories (326 papers) and Differential Equations and Boundary Problems (319 papers). The most active scholars publishing in Russian Mathematical Surveys are Vladimir I. Arnold, Yakov G. Sinai, Ya. B. Pesin, Boris Dubrovin, Alexei Kitaev, S. P. Novikov, I. M. Krichever, А. В. Архангельский, I. M. Gel'fand and O A Oleĭnik.
In The Last Decade
Fields of papers published in Russian Mathematical Surveys
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Russian Mathematical Surveys. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Russian Mathematical Surveys
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Russian Mathematical Surveys. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Russian Mathematical Surveys with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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