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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Perez-Martinez, F.Author

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June 9, 2019
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Article
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Wind turbine clutter observations and theoretical validation for meteorological radar applications

Publicated to: IET Radar Sonar and Navigation. 5 (2): 111-117 - 2011-02-01 5(2), DOI: 10.1049/iet-rsn.2009.0296

Authors:

Gallardo-Hernando, B; Munoz-Ferreras, M; Perez-Martinez, F; Aguado-Encabo, F
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Affiliations

Spanish Meteorol Agcy, Madrid 28071, Spain - Author
Tech Univ Madrid, ETSI Telecomunicac, Dept Signals Syst & Radiocommun, Madrid 28040, Spain - Author
Univ Alcala de Henares, Escuela Politecn, Dept Signal Theory & Commun, Alcala De Henares 28805, Madrid, Spain - Author
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Abstract

The use of wind energy is gaining importance because of its many advantages. Nations worldwide are promoting the installation of wind farms to produce electricity in an attempt to tackle climate change and increasing oil costs. However, wind turbines can generate undesired signals that disturb the performance of radar systems. In particular, this is an issue for weather radar networks that see wind turbines as clutter, since they have a strong influence on meteorological outputs such as the estimation of rain intensity or wind velocity. This study develops a simulated scenario and a radar signal model that justify collection of live data from the Spanish Weather Radar Network. Simulated and real data are discussed for both the spotlight and exploration modes. As an application example, a simple algorithm has been developed to estimate wind direction in the immediate vicinity of wind turbines. In this context, it is clear that some meteorological information may be extracted from the wind turbine clutter itself.
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Keywords

Affordable and clean energy

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IET Radar Sonar and Navigation due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2011, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Electrical and Electronic Engineering. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-09:

  • Open Alex: 45
  • WoS: 31
  • Scopus: 44
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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 2026-04-09:

  • 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: 18 (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:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/81138/

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: 192
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 7 - Affordable and clean energy, with a probability of 83% according to the mBERT algorithm developed by Aurora University.
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Gallardo-Hernando, B.) .

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Awards linked to the item

This work was supported by Project TEC2008-02148/TEC of the Spanish National Board of Scientific and Technology Research. The authors wish to thank the staff from the Terrestrial Remote Sensing unit of the Spanish Meteorological Agency (AEMET), who provided key support in the collection of radar data.
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