Visualization of Data Science Community in Russia

Yavorskiy, Rostislav; Voznesenskaya, Tamara; Rudakov, Kirill

doi:10.1007/978-3-030-11027-7_1

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…For example, in [1], it is shown that scientists with a high rating can publish the results of their research in both high-rated and low-rated publications. Also, [21] shows the importance of considering communities for evaluating conferences.…”

Section: Introductionmentioning

confidence: 99%

Russia on the Global Artificial Intelligence Scene

Kochetkov

Birukou

Ermolayeva

2021

Lecture Notes in Computer Science

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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.

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Section: Introductionmentioning

confidence: 99%