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Analysis of institutional authors

Sanjurjo-De-No ACorresponding AuthorArenas-Ramirez BAuthorMira JAuthorAparicio-Izquierdo FAuthor

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February 17, 2021
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Article

Driver liability assessment in vehicle collisions in Spain

Publicated to:International Journal Of Environmental Research And Public Health. 18 (4): 1475-18 - 2021-02-01 18(4), DOI: 10.3390/ijerph18041475

Authors: Sanjurjo-de-No, Almudena; Arenas-Ramirez, Blanca; Mira, Jose; Aparicio-Izquierdo, Francisco

Affiliations

Escuela Técnica Superior de Ingenieros Industriales - Author
Instituto Universitario de Investigación del Automóvil (INSIA), Universidad Politécnica de Madrid - Author
‎ Univ Politecn Madrid UPM, Escuela Tecn Super Ingn Ind ETSII, Inst Univ Invest Automovil Francisco Aparicio Izq, Madrid 28006, Spain - Author
‎ Univ Politecn Madrid UPM, Escuela Tecn Super Ingn Ind ETSII, Stat Dept, Madrid 28006, Spain - Author

Abstract

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. An accurate estimation of exposure is essential for road collision rate estimation, which is key when evaluating the impact of road safety measures. The quasi-induced exposure method was developed to estimate relative exposure for different driver groups based on its main hypothesis: the not-at-fault drivers involved in two-vehicle collisions are taken as a random sample of driver populations. Liability assignment is thus crucial in this method to identify not-at-fault drivers, but often no liability labels are given in collision records, so unsupervised analysis tools are required. To date, most researchers consider only driver and speed offences in liability assignment, but an open question is if more information could be added. To this end, in this paper, the visual clustering technique of self-organizing maps (SOM) has been applied to better understand the multivariate structure in the data, to find out the most important variables for driver liability, analyzing their influence, and to identify relevant liability patterns. The results show that alcohol/drug use could be influential on liability and further analysis is required for disability and sudden illness. More information has been used, given that a larger proportion of the data was considered. SOM thus appears as a promising tool for liability assessment.

Keywords

Accidents, trafficAutomobile drivingDriver liability assignmentPattern identificationQuasi-induced exposureRoad safetySelf-organizing maps (som)SpainVehicle collisions

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal International Journal Of Environmental Research And Public Health 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, 2021, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Public Health, Environmental and Occupational Health.

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: 1.65, 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 Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-14, the following number of citations:

  • WoS: 4
  • Scopus: 5
  • Europe PMC: 2

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 2025-07-14:

  • 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: 12.
  • 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: 12 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.2.
  • The number of mentions on the social network X (formerly Twitter): 3 (Altmetric).

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.

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 (SANJURJO DE NO, MARIA ALMUDENA) and Last Author (APARICIO IZQUIERDO, FRANCISCO).

the author responsible for correspondence tasks has been SANJURJO DE NO, MARIA ALMUDENA.