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Russia on the Global Artificial Intelligence Scene

  • Conference paper
  • First Online:
Analysis of Images, Social Networks and Texts (AIST 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12602))

  • 1077 Accesses

Abstract

Artificial Intelligence (AI) is a very active research area with a number of applications in business, communication, healthcare, etc. AI attracts great attention in Russia and in late 2019 was included in the country strategy till 2030. In this paper we analyze Russia’s position in the space of international scholarly publications on AI. While AI research is interdisciplinary, its core fits the computer science field, where most of the original results are published in conference proceedings and not in journals. Therefore, we consider the list of key AI conferences based on the Australian CORE and Microsoft Academic rankings. We conduct a comparative analysis Russia vs World based on the Scopus data. The metrics used in the analysis allow us to tackle both quantity and quality dimensions. The results of the study are essential for developing measures for the further implementation of the National Strategy for the Development of Artificial Intelligence in Russia and better understanding its position in the international scientific community.

Supported by the RUDN University Strategic Academic Leadership Program (recipients A. Birukou and A. Ermolayeva) and the Russian Foundation for Basic Research, project 18-00-01040 KOMFI (recipient D. Kochetkov).

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Notes

  1. 1.

    https://www.economy.gov.ru/material/departments/d01/razvitie_iskusstvennogo_intellekta/.

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Acknowledgements

This paper has been supported by the RUDN University Strategic Academic Leadership Program (recipients A. Birukou and A. Ermolayeva). The study was also supported by the Russian Foundation for Basic Research, project 18-00-01040 KOMFI “The Impact of Emerging Technologies on Urban Environment and the Quality of Life of Urban Communities” (recipient D. Kochetkov).

Author information

Authors and Affiliations

  1. Higher School of Economics, Moscow, Russia

    Dmitry Kochetkov

  2. Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia

    Aliaksandr Birukou & Anna Ermolayeva

  3. Springer Nature, Heidelberg, Germany

    Aliaksandr Birukou

Authors
  1. Dmitry Kochetkov
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  2. Aliaksandr Birukou
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  3. Anna Ermolayeva
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Editor information

Editors and Affiliations

  1. RWTH Aachen University, Aachen, Germany

    Wil M. P. van der Aalst

  2. University of Ljubljana, Ljubljana, Slovenia

    Vladimir Batagelj

  3. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  4. Krasovskii Institute of Mathematics and Mechanics, Yekaterinburg, Russia

    Michael Khachay

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

  6. University of Oslo, Oslo, Norway

    Andrey Kutuzov

  7. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  8. National Research University Higher School of Economics, Moscow, Russia

    Irina A. Lomazova

  9. Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  10. LORIA, Vandœuvre lès Nancy, France

    Amedeo Napoli

  11. Skolkovo Institute of Science and Technology, Moscow, Russia

    Alexander Panchenko

  12. University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

  13. Università Ca' Foscari Venezia, Venice, Italy

    Marcello Pelillo

  14. National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  15. Kazan Federal University, Kazan, Russia

    Elena Tutubalina

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Kochetkov, D., Birukou, A., Ermolayeva, A. (2021). Russia on the Global Artificial Intelligence Scene. In: van der Aalst, W.M.P., et al. Analysis of Images, Social Networks and Texts. AIST 2020. Lecture Notes in Computer Science(), vol 12602. Springer, Cham. https://doi.org/10.1007/978-3-030-72610-2_28

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  • DOI: https://doi.org/10.1007/978-3-030-72610-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72609-6

  • Online ISBN: 978-3-030-72610-2

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