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arXiv 2602.15249cs.DLcs.AI
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欧盟人工智能专业化:NUTS-3层级外围地区未被探索的角色

Artificial Intelligence Specialization in the European Union: Underexplored Role of the Periphery at NUTS-3 Level

SCImago-UGR, Unit for Computational Humanities and Social Sciences (U^CHASS) University of Granada, Spain(SCImago-UGR,计算人文与社会科学单位(U^CHASS)格拉纳达大学,西班牙)

Victor Herrero-Solana, Carmen Gálvez

AI总结:

研究通过文献计量数据分析2015-2024年间欧洲NUTS-3地区人工智能研究分布,发现外围地区在相对专业化指标上表现突出,揭示了专业化与引用影响之间的弱相关性。

摘要:

本文研究了2015-2024年间欧洲NUTS-3地区人工智能研究分布,利用Clarivate InCites和引用主题分类系统,分析了两个层级主题:电气工程、电子与计算机科学(宏观引用主题4)和人工智能与机器学习(中观引用主题4.61)。计算781个欧洲NUTS-3地区的相对专业化指数(RSI)和相对引用影响(RCI)指标。尽管主要大都市如巴黎、华沙和马德里在绝对发表量上占主导地位,结果揭示最高水平的相对人工智能专业化集中在外围地区,特别是东欧和西班牙。格拉纳达和维尔纽斯地区突出表现为高专业化与强引用可见性相结合。分析进一步表明专业化与引用影响之间存在弱相关性,揭示了多种区域特征,包括高专业化但低引用可见性、高引用可见性但相对低专业化,以及结合中等专业化与强引用影响的多样化科学系统。芬兰成为高引用影响的极端案例,尽管专业化水平相对较低。

英文摘要:

This study examines the distribution of Artificial Intelligence (AI) research across European NUTS-3 regions during the period 2015-2024. Using bibliometric data from Clarivate InCites and the Citation Topics classification system, we analyse two hierarchical thematic levels: Electrical Engineering, Electronics & Computer Science (Macro Citation Topic 4) and Artificial Intelligence & Machine Learning (Meso Citation Topic 4.61). Relative Specialization Index (RSI) and Relative Citation Impact (RCI) indicators are calculated for 781 European NUTS-3 regions. While major metropolitan hubs such as Paris, Warszawa, and Madrid dominate in absolute publication volume, the results reveal that the highest levels of relative AI specialization are concentrated in peripheral regions, particularly in Eastern Europe and Spain. Granada and Vilniaus apskritis stand out as regions combining high specialization with strong citation visibility. The analysis further suggests a weak relationship between regional specialization and citation impact, revealing multiple regional profiles, including highly specialized regions with limited citation visibility, highly visible regions with comparatively low specialization, and diversified scientific systems combining moderate specialization with strong citation impact. Fyn emerges as an extreme case of very high citation impact despite relatively low specialization.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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