1. Электронный научный архив УрФУ
  2. 00. Общеуниверситетские коллекции
  3. Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC
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dc.contributor.authorErmolayeva, A.en
dc.contributor.authorBirukou, A.en
dc.contributor.authorMatyushenko, S.en
dc.contributor.authorKochetkov, D.en
dc.date.accessioned2024-04-05T16:35:35Z-
dc.date.available2024-04-05T16:35:35Z-
dc.date.issued2023-
dc.identifier.citationErmolayeva, A, Birukou, A, Matyushenko, S & Kochetkov, D 2023, 'Statistical model and method for analyzing AI conference rankings: China vs USA', Heliyon, Том. 9, № 11, e21592. https://doi.org/10.1016/j.heliyon.2023.e21592harvard_pure
dc.identifier.citationErmolayeva, A., Birukou, A., Matyushenko, S., & Kochetkov, D. (2023). Statistical model and method for analyzing AI conference rankings: China vs USA. Heliyon, 9(11), [e21592]. https://doi.org/10.1016/j.heliyon.2023.e21592apa_pure
dc.identifier.issn2405-8440-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold, Green3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85175865509&doi=10.1016%2fj.heliyon.2023.e21592&partnerID=40&md5=0b9d7f977f30517e03ba05fc4aea9b281
dc.identifier.otherhttp://www.cell.com/article/S240584402308800X/pdfpdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/130929-
dc.description.abstractArtificial Intelligence (AI) is a rapidly developing field of research that attracts significant funding from both the state and industry players. Such interest is driven by a wide range of AI technology applications in many fields. Since many AI research topics relate to computer science, where a significant share of research results are published in conference proceedings, the same applies to AI. The world leaders in artificial intelligence research are China and the United States. The authors conducted a comparative analysis of the bibliometric indicators of AI conference papers from these two countries based on Scopus data. The analysis aimed to identify conferences that receive above-average citation rates and suggest publication strategies for authors from these countries to participate in conferences that are likely to provide better dissemination of their research results. The results showed that, although Chinese researchers publish more AI papers than those from the United States, US conference papers are cited more frequently. The authors also conducted a correlation analysis of the MNCS index, which revealed no high correlation between MNCS USA vs. MNCS China, MNCS China/MNCS USA vs. MSAR, and MNCS China/MNCS USA vs. CORE ranking indicators. © 2023 The Authorsen
dc.description.sponsorshipRUDN Universityen
dc.description.sponsorshipChina's leading position in the number of scientific research in the field of AI is due to the fact that China was trying to overtake the United States in the technology race, so it has been making huge efforts in this area [4] . Thus, China has adopted a strategic government program for the development of the AI sector until 2030. Its implementation is supported by large-scale government funding, as well as funds from private technology companies active in China. The main advantage of China is the huge amount of data generated [4] . The United States also invests heavily in the development of this field of computer science.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier Ltden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/unpaywall
dc.sourceHeliyon2
dc.sourceHeliyonen
dc.subjectARTIFICIAL INTELLIGENCEen
dc.subjectCONFERENCE PROCEEDINGSen
dc.subjectRESEARCH ASSESSMENTen
dc.subjectRESEARCH EVALUATIONen
dc.subjectSCIENTOMETRICSen
dc.titleStatistical model and method for analyzing AI conference rankings: China vs USAen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.type|info:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.heliyon.2023.e21592-
dc.identifier.scopus85175865509-
local.contributor.employeeErmolayeva, A., Institute of Computer Science & Telecommunications, Department of Probability Theory and Cyber Security, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federationen
local.contributor.employeeBirukou, A., Springer Nature, Tiergartenstrasse 17, Heidelberg, 69121, Germanyen
local.contributor.employeeMatyushenko, S., Institute of Computer Science & Telecommunications, Department of Probability Theory and Cyber Security, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federationen
local.contributor.employeeKochetkov, D., Institute of Computer Science & Telecommunications, Department of Probability Theory and Cyber Security, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation, Centre for Science and Technology Studies, Leiden University, Kolffpad 1, Leiden, 2333 BN, Netherlands, Ural Federal University, 19 Mira Street, Ekaterinburg, 620002, Russian Federationen
local.issue11-
local.volume9-
dc.identifier.wos001111330100001-
local.contributor.departmentInstitute of Computer Science & Telecommunications, Department of Probability Theory and Cyber Security, Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federationen
local.contributor.departmentSpringer Nature, Tiergartenstrasse 17, Heidelberg, 69121, Germanyen
local.contributor.departmentCentre for Science and Technology Studies, Leiden University, Kolffpad 1, Leiden, 2333 BN, Netherlandsen
local.contributor.departmentUral Federal University, 19 Mira Street, Ekaterinburg, 620002, Russian Federationen
local.identifier.pure47863341-
local.description.ordere21592-
local.identifier.eid2-s2.0-85175865509-
local.identifier.wosWOS:001111330100001-
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