Problemy Upravleniya
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Problemy Upravleniya

Published in the original Russian as "Problemy Upravleniya" ["Control Sciences"] — a scientific and technical bimonthly journal.

The journal addresses the needs of a wide community of specialists who deal with or are interested in control problems in technical, organizational, social, economic, environmental, biological and medical systems. Its audience also includes control and automation system developers, teachers, post-graduates and students.

It explains in clear, intelligible form the ideas and methods of control tasks solving based on modern modeling techniques subject to unstable environment, limited source information, conflicting goals, weak structurization and multiple objectives, i.e. the problems, which are most often faced in real world.

The journal focuses on system analysis and general-system mechanisms of large-scale objects’ operation, theory and techniques of choice and decision-making in complex systems, expert judgments and data analysis, large-scale system models, applied mathematical control models of various systems, prediction techniques and models, applied models and methods of management in organizations and economy, cash flow analysis models and techniques, and the problems of national and regional administration.

The difference from similar journals consists of uniformity scope of modern control sciences problems, interdisciplinary approach and making an emphasis on analysis of possibilities to put into practice published scientific results.

Address: 117997, Moscow, Profsoyuznaya, 65, off. 410
Phone: +7 (495) 334 92 00
Fax: +7 (495) 334 92 00
E-mail:
Website: https://pu.mtas.ru
ISSN: 1819-3161 (print)
Founders: Institute of Control Sciences, Russian Academy of Sciences
Publishers: SenSiDat-Kontrol
Copyright: Institute of Control Sciences, Russian Academy of Sciences

Web of Science: Indexed in RUSSIAN SCIENCE CITATION INDEX
English version: Control Sciences. ISSN: 2782-2427 (online)


Editor in Chief
Novikov, Dmitry Alexandrovich

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Total publications: 1353
Scientific articles: 1207
Authors: 1303
Citations: 2315
Cited articles: 665

Impact-factor Math-Net.Ru
for 2021: 0.330
for 2020: 0.230
for 2019: 0.286
for 2018: 0.412
for 2017: 0.388
for 2016: 0.327
for 2015: 0.357
for 2014: 0.371
for 2013: 0.287
for 2012: 0.464
for 2011: 0.453
for 2010: 0.376
for 2009: 0.344

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