Institute for Information Transmission Problems

4.4k papers receiving 71.6k citations

Peers

Institute for Information Transmission Problems
Comparison fields: 5 of 233
  • Discrete Mathematics and Combinatorics 2.8k
  • Mathematical Physics 7.0k
  • Geometry and Topology 5.3k
  • Physical Therapy, Sports Therapy and Rehabilitation 2.3k
  • Cognitive Neuroscience 7.9k
Replace Moscow Institute of Physics and Technology with:
Moscow Institute of Physics and Technology Russia
V. A. Trapeznikov Institute of Control Sciences Russia
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Keldysh Institute of Applied Mathematics Russia
Oles Honchar Dnipro National University Ukraine
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Institute for Information Transmission Problems relative to Moscow Institute of Physics and Technology Russia Moscow Institute of Physics and Technology's profile →
Citations per field
00.5×10×15×20×23.4×
Moscow Institute of Physics and Technology · 1×
Citations per year

Countries citing scholars working at Institute for Information Transmission Problems

Since Specialization
Citations

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

Fields of papers published by authors at Institute for Information Transmission Problems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute for Information Transmission Problems 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 for Information Transmission Problems at the time of their publication.

About Institute for Information Transmission Problems

In recent decades, authors affiliated with Institute for Information Transmission Problems have published 5.0k papers, which have received a total of 77.3k indexed citations . Scholars at this organization have produced 292 papers in Discrete Mathematics and Combinatorics, 756 papers in Mathematical Physics, 659 papers in Geometry and Topology, 184 papers in Algebra and Number Theory and 287 papers in Statistics and Probability on the topics of Algebraic structures and combinatorial models (296 papers), Coding theory and cryptography (289 papers), graph theory and CDMA systems (204 papers), Genomics and Phylogenetic Studies (192 papers), Advanced Algebra and Geometry (191 papers), Stochastic processes and statistical mechanics (163 papers), Nonlinear Waves and Solitons (162 papers) and Random Matrices and Applications (152 papers). Their work is cited by papers focused on Discrete Mathematics and Combinatorics (2.8k citations), Mathematical Physics (7.0k citations), Geometry and Topology (5.3k citations), Physical Therapy, Sports Therapy and Rehabilitation (2.3k citations) and Cognitive Neuroscience (7.9k citations). Authors at Institute for Information Transmission Problems collaborate with scholars in Russia, United States and France and have published in prestigious journals including Problems of Information Transmission, IEEE Transactions on Information Theory, Journal of High Energy Physics, Physics Letters B and Experimental Brain Research. Some of Institute for Information Transmission Problems's most productive authors include Anatol G. Feldman, Dmitry A. Rodionov, Mikhail S. Gelfand, A. N. Kolmogorov, Yuri V. Panchin, G. N. Orlovsky, Dmitry Yarotsky, Evgeny Khorov, Grigori Olshanski and E.A. Liberman.

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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