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.

翻译：本研究考察了2015-2024年间人工智能研究在欧洲NUTS-3区域的分布情况。利用科睿唯安InCites的文献计量数据和引文主题分类体系，我们分析了两个层级化的主题层面：电气工程、电子与计算机科学（宏观引文主题4）以及人工智能与机器学习（中观引文主题4.61）。计算了781个欧洲NUTS-3区域的相对专业化指数和相对引文影响力指标。尽管巴黎、华沙和马德里等主要大都市中心在绝对发表数量上占据主导地位，但结果显示，最高水平的相对人工智能专业化集中边缘区域，尤其是在东欧和西班牙。格拉纳达和维尔纽斯县是兼具高专业化和强引文可见性的区域。分析进一步表明，区域专业化与引文影响力之间关系较弱，揭示了多种区域类型，包括专业化程度高但引文可见性有限的区域、引文可见性强但专业化相对较低的区域，以及将适度专业化与强引文影响力相结合的多样化科学系统。菲英岛作为一个极端案例，尽管专业化程度较低，却呈现出极高的引文影响力。