Statistical model and method for analyzing AI conference rankings: China vs USA
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
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Statistical model and method for analyzing AI conference rankings: China vs USA
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| Автор |
Ermolayeva, A.
Birukou, A. Matyushenko, S. Kochetkov, D. |
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| Тематика |
ARTIFICIAL INTELLIGENCE
CONFERENCE PROCEEDINGS RESEARCH ASSESSMENT RESEARCH EVALUATION SCIENTOMETRICS |
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| Описание |
Artificial 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 Authors
RUDN University China'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. |
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| Дата |
2024-04-05T16:35:35Z
2024-04-05T16:35:35Z 2023 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
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| Идентификатор |
Ermolayeva, 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.e21592
Ermolayeva, 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.e21592 2405-8440 Final All Open Access, Gold, Green https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175865509&doi=10.1016%2fj.heliyon.2023.e21592&partnerID=40&md5=0b9d7f977f30517e03ba05fc4aea9b28 http://www.cell.com/article/S240584402308800X/pdf http://elar.urfu.ru/handle/10995/130929 10.1016/j.heliyon.2023.e21592 85175865509 001111330100001 |
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| Язык |
en
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| Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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| Формат |
application/pdf
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| Издатель |
Elsevier Ltd
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| Источник |
Heliyon
Heliyon |
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