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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Hernandez R.AuthorSeñor J.AuthorMujica G.AuthorOtero A.AuthorPortilla J.AuthorFelez J.AuthorVaquero Serrano M.a.Author

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December 13, 2024
Publications
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Chapter
Hybrid Gold

Use of Artificial Intelligence as an Enabler for the Implementation of ETCS L3 and Other Innovative Rail Services

Publicated to: Studies In Computational Intelligence. 1147 353-393 - 2024-01-01 1147(), DOI: 10.1007/978-3-031-54049-3_19

Authors:

Parrilla Ayuso F; González Delgado JM; Giménez Gómez JA; Rubio Cañete J; Díaz Díaz A; Hernandez R; Señor J; Mujica G; Otero A; Portilla J; Félez J; Vaquero Serrano MA; Alonso Gómez A; Wenning BL; Ezquerro G
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Affiliations

Indra - Author
J.I.G. INTERNET CONSULTING SL - Author
Mondragon Unibertsitatea - Author
MUNSTER TECHNOLOGICAL UNIVERSITY (MTU) - Author
Universidad Politécnica de Madrid - Author
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Keywords

Industry, innovation and infrastructure

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Studies In Computational Intelligence, Q4 Agency Scopus (SJR), its regional focus and specialization in Artificial Intelligence, give it significant recognition in a specific niche of scientific knowledge at an international level.

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-12-21:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 2.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 2 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86580/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 131
  • Downloads: 30
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 9 - Industry, innovation and infrastructure, with a probability of 56% according to the mBERT algorithm developed by Aurora University.
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: United Kingdom.

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