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Analysis of institutional authors

Groun NCorresponding AuthorBegiashvili BAuthorValero EAuthorGaricano-Mena JAuthorLe Clainche SAuthor

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October 23, 2023
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Higher order dynamic mode decomposition beyond aerospace engineering

Publicated to: Results In Engineering. 20 101471- - 2023-12-01 20(), DOI: 10.1016/j.rineng.2023.101471

Authors:

Groun, N; Begiashvili, B; Valero, E; Garicano-Mena, J; Le Clainche, S
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Affiliations

Ctr Computat Simulat CCS, Boadilla Del Monte 28660, Spain - Author
Univ Politecn Madrid, ETSI Aeronaut & Espacio, Madrid 28040, Spain - Author
Univ Politecn Madrid, ETSI Telecomunicac, Madrid 28040, Spain - Author
Universidad Politécnica de Madrid - Author
Universidad Politécnica de Madrid , Center for Computational Simulation (CCS) - Author
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Abstract

It is a well known fact that fluid dynamics play a crucial rule in countless fields in scientific and industrial applications, including nature and medicine (ocean currents, fluid motion around jellyfish, blood circulation…), in energy production (wind turbines, tidal energy, combustion…) and of course in transportation and aerospace (trains, automobiles, aerospace shape optimization, cross-flow instability…). Understanding all these complex fluid dynamics problems is not an easy task and it requires a routinely description and quantification. Data-science and its diverse technique have arisen as a powerful tool to tackle these fluid dynamics problems, techniques such as machine learning and artificial intelligence, data processing and decision making, modeling and simulations are but a few of the promising tools described so far. In this work, we focus on data-driven techniques. In particular, we are introducing the fully data-driven technique, the higher order dynamic mode decomposition (HODMD). This technique was originally developed for the fluid mechanics field, but rapidly grew and covered several other fields and applications. A short review comparing two different applications will be shown in this contribution. We will first present our proposed technique, explain its solid mathematical foundations and highlight its capabilities (robustness, denoising properties, efficiency regardless of the amounts of data…). Next, we show the applicability of the HODMD technique to two, very different and quite complex problems: (i) a compressible, turbulent jet and (ii) pattern identification in medical dataset, consisting of echocardiography images.
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Keywords

aerospacedata-driven methodshigher order dynamic mode decompositioninterpolationAerospaceData-driven methodsFluid dynamicsHigher order dynamic mode decompositionReconstruction

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Results In Engineering due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2023, it was in position 10/181, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Multidisciplinary. 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 2025-12-21:

  • WoS: 2
  • Scopus: 2
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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 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:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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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 (NOURELHOUDA, GROUN) and Last Author (LE CLAINCHE MARTINEZ, SOLEDAD).

the author responsible for correspondence tasks has been NOURELHOUDA, GROUN.

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