arXiv subjects

Carmen Gálvez

Publications and source records attributed to Carmen Gálvez.

3 recordsLinked to original sources

arXiv2026

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

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.

cs.DL↗

arXiv2025

K-núcleo: Una herramienta para detectar la estructura conceptual de los campos de investigación. El caso práctico de la Altmetría

In Social Network Analysis (SNA), k-core decomposition is used to detect hierarchical shells in networks. The application of the K-core decomposition to a network of keywords allows us to represent the conceptual structure of a research field. The objective of this work was to propose the application of k-core decomposition to show the evolution of the conceptual structure of the Altmetrics research field. The methodology was developed in several phases: data collection, keyword selection, elaboration of a keyword co-occurrence matrix, generation of a keyword network, k-core decomposition and visualization of the hierarchical structure. The result was the detection of five differentiated shells. A core shell with basic, densely interconnected concepts that formed the knowledge base of the field. An intermediate shell with mediating concepts that showed the evolution of knowledge in the field. A lateral shell with concepts that indicated the specialization of the research field. A border shell with peripheral and isolated concepts, which represented the conceptual fronts in development. In conclusion, the hierarchical decomposition of the keyword network achieved a deeper understanding of the conceptual structure of the research field

stat.ME↗

arXiv2025

Scientific Map of Artificial Intelligence in Communication (2004-2024)

Introduction: Artificial Intelligence (AI) is having a significant impact in the field of communication, causing transcendental changes in the processing and consumption of information. The objective of this work was to analyze the most influential AI topic areas in the field of communication based on scientific literature. Methodology: 996 references indexed in Web of Science between 2004-2024 were selected, a bibliometric analysis of co-words was carried out and visualization techniques were applied to build scientific maps. Results: The most relevant thematic areas were datafication, the linking of AI with social media and digital journalism. The emerging area of generative AI was identified, linked to new AI models, such as ChatGPT, designed to generate content in the form of written text, audio, images or videos. Another emerging topic area was China's impact on the use of AI in communication. Discussions: Despite the impact of AI in communication, the field is still in the process of structuring, with few consolidated topics. Conclusions: This study made it possible to identify the thematic areas of the field studied, as well as the detection of emerging trends.

cs.CY↗