Central Economics and Mathematics Institute

11.1k citations
1.4k papers ·

Impact in

Papers in

Central Economics and Mathematics Institute

1.0k papers receiving 10.3k citations

Peers

Central Economics and Mathematics Institute
Comparison fields: 5 of 187
  • Development 633
  • Numerical Analysis 748
  • Mathematical Physics 1.1k
  • Computational Theory and Mathematics 2.1k
  • Finance 1.0k
Replace Institute for Systems Analysis with:
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Russian New University Russia
Russian University of Transport Russia
V.M. Glushkov Institute of Cybernetics Ukraine
Department of Mathematical Sciences Russia
Vladimir State University Russia
Pushkin Leningrad State University Russia
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Central Economics and Mathematics Institute relative to Institute for Systems Analysis Russia Institute for Systems Analysis's profile →
Citations per field
00.5×2×4×6.1×
Institute for Systems Analysis · 1×
Citations per year

Countries citing scholars working at Central Economics and Mathematics Institute

Since Specialization
Citations

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

Fields of papers published by authors at Central Economics and Mathematics Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Central Economics and Mathematics Institute 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 Central Economics and Mathematics Institute at the time of their publication.

About Central Economics and Mathematics Institute

In recent decades, authors affiliated with Central Economics and Mathematics Institute have published 1.4k papers, which have received a total of 11.1k indexed citations . Scholars at this organization have produced 232 papers in Development, 224 papers in General Economics, Econometrics and Finance, 15 papers in General Energy, 335 papers in Economics and Econometrics and 154 papers in Management Science and Operations Research on the topics of Economic and Technological Developments in Russia (230 papers), Economic Development and Digital Transformation (172 papers), Regional Socio-Economic Development Trends (73 papers), Economic theories and models (71 papers), Stochastic processes and financial applications (65 papers), Economic and Technological Systems Analysis (58 papers), Regional Economic Development and Innovation (50 papers) and Optimization and Variational Analysis (47 papers). Their work is cited by papers focused on Development (633 citations), Numerical Analysis (748 citations), Mathematical Physics (1.1k citations), Computational Theory and Mathematics (2.1k citations) and Finance (1.0k citations). Authors at Central Economics and Mathematics Institute collaborate with scholars in Russia, United States and Slovakia and have published in prestigious journals including Voprosy Ekonomiki, Herald of the Russian Academy of Sciences, Mathematical Social Sciences, Journal of Mathematical Economics and Finance and Stochastics. Some of Central Economics and Mathematics Institute's most productive authors include Boris V. Cherkassky, Andrew V. Goldberg, Michael Jakobson, Arkadi S. Nemirovski, Gleb Alekseevich Koshevoy, Serge G. Vladut, Yuri Kabanov, M. A. Tsfasman, George B. Kleiner and Leva Andreevich Beklaryan.

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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