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Analysis of institutional authors

Barbier, ACorresponding AuthorSalavert, JmAuthorPalau, CeAuthorGuardiola, CAuthor

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October 28, 2024
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Predicting instantaneous engine-out NOx emissions in a real-driving vehicle data scenario

Publicated to:International Journal Of Engine Research. 24 (8): 3626-3641 - 2023-04-03 24(8), DOI: 10.1177/14680874231163912

Authors: Barbier, Alvin; Salavert, Jose Miguel; Palau, Carlos E; Guardiola, Carlos

Affiliations

Univ Politecn Valencia - Author
Univ Politecn Valencia, Camino Vera S-N - Author

Abstract

As type approval driving cycles were found to be insufficient to represent the real impact of emissions from on-road vehicles, it became clear that real-driving emissions must be considered to effectively address the current transportation challenges. The expected introduction of on-board emission monitoring is believed to require tools that will evaluate the on-road emissions conformity of vehicles over their lifetime. In this regard, the significant amount of data made available from modern vehicles opens for improved emissions prediction and diagnostics opportunities. This article explores therefore the effectiveness of predicting instantaneous engine-out NOx emissions given in-service vehicle data alone. To this end, a 9 months daily vehicle usage database was used to calibrate and evaluate a semi-empirical NOx emission model and the results showed good agreement with measurements provided by the production sensor. This approach offers a tool for simulating real-driving engine-out NOx emissions that could help to comply with emission standards by feeding and updating advanced emissions control strategies.

Keywords

CarsDiesel-enginesEmissions modelingIn-service vehicle dataModelNitrogen oxidesNo model xNo x modelPemsReal-driving emissionsSystemValidation

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal International Journal Of Engine Research 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, 2023, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Mechanical Engineering.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.05, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Aug 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-08-11, the following number of citations:

  • WoS: 4
  • Scopus: 4

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 2025-08-11:

  • 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: 4 (PlumX).

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 (Barbier, Alvin Richard Sebastien) and Last Author (Guardiola García, Carlos).

the author responsible for correspondence tasks has been Barbier, Alvin Richard Sebastien.