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Analysis of institutional authors

González-Cancelas NAuthor

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August 29, 2019
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Seaport sustainable: Use of artificial intelligence to evaluate liquid natural gas utilization in short sea shipping

Publicated to: TRANSPORTATION JOURNAL. 58 (3): 197-221 - 2019-06-01 58(3), DOI: 10.5325/transportationj.58.3.0197

Authors:

Gonzalez-Cancelas, Nicoleta; Molina Serrano, Beatriz; Soler-Flores, Francisco
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Affiliations

Grupo de Investigación en Ingeniería Marítima y Portuaria. Universidad Politécnica de Madrid - Author
Int Univ La Rioja - Author
International University of La Rioja - Author
Polythecn Univ Madrid - Author
Universidad Politécnica de Madrid - Author
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Abstract

Copyright © 2019 The Pennsylvania State University, University Park, PA. In the present research, a methodology is developed to determine the relationship between the variables that define the use of liquefied natural gas in short sea shipping in Europe, through the use of data-mining techniques. The project takes place in the European space, which includes data from 30 countries, the 28 members of the European Union plus Norway and Iceland. A Bayesian network is constructed with the 35 indicators selected, which are classified into five different categories: international trade and transport, economy and finance, population and social condition, environment and energy, and institutional and political. It is found that capacity of liquefied natural gas regasification terminals under construction and modal distribution of cargo transport by inland waters are the two root nodes of the network. In addition, the variables of transport and international trade and economy and finance become the most important in the decision to implement liquefied natural gas as marine fuel, while those of environment and energy and population and condition are the most dependent on the network.
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Keywords

Artificial intelligenceBayesian networksData miningLiquid natural gasOptimizationShort sea shippingSulfur

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal TRANSPORTATION JOURNAL 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, 2019, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Transportation. Notably, the journal is positioned en el Cuartil Q4 for the agency WoS (JCR) in the category Management.

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 2026-04-26:

  • Google Scholar: 29
  • WoS: 12
  • Scopus: 15
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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 2026-04-26:

  • 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: 58 (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/94509/

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: 17
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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 (GONZALEZ CANCELAS, MARIA NICOLETA) .

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