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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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Publish more or publish differently? New aspects of relationship between scientific mobility and performance of young researchers

P. 585–596.
Kotsemir M. N., Dyachenko E., Nefedova A.

The paper presents the preliminary results of a research project on the international mobility of young Russian researchers. This study is focused on the impact of education or work experience abroad on their future scientific careers, particularly their publication activity. The case study of the one large Russian university was examined: a unique for Russia database combining both biographical data (information from CV published openly) and publication activity indicators (data from Scopus) of employees of this university was collected. A positive relationship between the international mobility and scientific productivity of scientists was revealed. Those involved in international mobility not only publish more scientific articles on average but their papers are published in journals of higher level and are cited more often. We also found some differences in the choice of topics and collaboration behavior between mobile and non-mobile scientists.

Language: English
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Keywords: researcherspublication activityyoung researchersyoung scholars academic mobility
Publication based on the results of:
Международная мобильность российских молодых исследователей: масштабы и эффекты для научной карьеры (2021)

In book

18th INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS Proceedings
[б.и.], 2021.
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