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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Publication Activity of Russian Researches in Leading International Scientific Journals

Acta Naturae. 2012. Vol. 4. No. 2. P. 14–34.
Kotsemir M. N.

The primary aim of this research report is to analyse the dynamics and structure of the publications of Russian authors, as well as to define the place of Russian science in the global scientific process. Bibliometric analysis methods are the main methods for quantitative analysis of scientific cooperation, efficiency, and other aspects of scientific activity. The information base for this research includes materials from science citation databases containing bibliographic descriptions of the articles published in scientific journals (mainly written in English) in a significant number of fields of science. Various parameters (e.g. dynamics of the number of publications, the number of citation, the level of co-authorship, the scientific specialization index, etc.) at various levels of aggregation (e.g. individual researchers, research organizations, countries and regions of the world) can be calculated based on these data. The results of bibliometric studies can be used in a number of ways:

- analysis of latest trends in the development of various scientific fields;

- evaluation of the effectiveness of research organizations;

- overall assessment of the scientific potential of Russia (its strengths and weaknesses);

- identification the most productive scientists in various fields of science;

- drawing the international comparisons of publications;

- analysis of collaboration networks of scientific teams.

The paper analyses the basic indicators of the publication activity of scientists in Russia and the leading countries over the period between 2001 and 2011. Publication activity of Russian scientists is analysed in the context of specific areas of science. This allows the identification of areas of specialization of Russian publications. The paper also examines the dynamics of highly-cited publications and the indicators of the international scientific collaboration of Russian researchers. In this paper, materials of Web of Science database were used for analysis of publication activity.

Research target: Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Priority areas: humanitarian
Language: English
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Keywords: статистика наукимежстрановой анализпубликационная активностьбиблиометрические индикаторыуровень цитируемостипубликации российских авторовpublication activitybibliometric indicatorspublications of Russian authorsthe level of citationcross-country analysisнаука и научно-исследовательская работа в отдельных странахмеждународное сотрудничество в науке
Publication based on the results of:
Methods for measuring the efficiency of STI policy instruments (2012)
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