{"paper":{"title":"Artificial Intelligence Specialization in the European Union: Underexplored Role of the Periphery at NUTS-3 Level","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"Peripheral NUTS-3 regions lead in relative AI specialization across the EU.","cross_cats":["cs.AI"],"primary_cat":"cs.DL","authors_text":"Carmen G\\'alvez, Victor Herrero-Solana","submitted_at":"2026-02-16T23:01:14Z","abstract_excerpt":"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 "},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"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.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The Citation Topics classification system from Clarivate accurately identifies AI and Machine Learning research at the meso level without significant misclassification or coverage biases across regions.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Peripheral European regions exhibit higher relative specialization in AI research than major hubs, with weak correlation to citation impact and standout cases like Granada and Vilnius.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Peripheral NUTS-3 regions lead in relative AI specialization across the EU.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"9c548ff14d086c80647bff2597b7e54c0bd48881977a36a8e689dbe379fb7612"},"source":{"id":"2602.15249","kind":"arxiv","version":2},"verdict":{"id":"a5e4386f-f563-4913-88b5-9fe2e3aab8d6","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-15T21:22:53.092711Z","strongest_claim":"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.","one_line_summary":"Peripheral European regions exhibit higher relative specialization in AI research than major hubs, with weak correlation to citation impact and standout cases like Granada and Vilnius.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The Citation Topics classification system from Clarivate accurately identifies AI and Machine Learning research at the meso level without significant misclassification or coverage biases across regions.","pith_extraction_headline":"Peripheral NUTS-3 regions lead in relative AI specialization across the EU."},"references":{"count":23,"sample":[{"doi":"","year":2023,"title":"Arranz et al","work_id":"37f0b333-7af0-41a6-b10a-8a2326f6f444","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":1960,"title":"Bibliometric analysis of scientific production on artificial intelligence from 1960 to 2021,","work_id":"38aecf50-6496-4087-95e6-fdc3d30fc1d3","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2013,"title":"An extensive bibliometric analysis of artificial intelligence techniques from 2013 to 2023,","work_id":"29078ca1-0520-48b1-ab72-b767c6be8d8a","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"Bibliometric Mining of Research Trends in Machine Learning,","work_id":"7d057a34-c2e0-4f06-b7ad-1059198d46aa","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2021,"title":"A Decade of Artificial Intelligence Research in the European Union: A Bibliometric Analysis,","work_id":"170df6e3-caa3-461a-8e3c-289bfe964a0a","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":23,"snapshot_sha256":"fac82f9d74798316a13b8e808a0413ef9785f5f4a1a9c85221a44d2ff526ea4b","internal_anchors":0},"formal_canon":{"evidence_count":2,"snapshot_sha256":"979dd6106670c8636883d1ab1f782c48b89b25c021abe25e89789cd1860f8ebe"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}