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Analysis of institutional authors

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January 22, 2021
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Towards the definition of an information quality metric for information fusion models

Publicated to: COMPUTERS & ELECTRICAL ENGINEERING. 89 106907- - 2021-01-01 89(), DOI: 10.1016/j.compeleceng.2020.106907

Authors:

Paggi, H; Soriano, J; Lara, JA; Damiani, E
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Affiliations

Khalifa Univ Sci & Technol, Ctr Cyber Phys Syst, Abu Dhabi 127788, U Arab Emirates - Author
Khalifa University of Science and Technology - Author
Madrid Open Univ, UDIMA, Carretera Coruna Km 38,5 Via Serv,15, Madrid 28400, Spain - Author
Madrid Open University - Author
Univ Milan, SESAR Lab, Via Bramante 65, I-26013 Crema, Italy - Author
Univ Politecn Madrid, Campus Montegancedo, Madrid 28660, Spain - Author
Universidad Politécnica de Madrid - Author
UNIVERSITA DEGLI STUDI DI MILANO - Author
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Abstract

© 2020 Managing information quality has become important in cyber-physical systems dealing with big data. In this regard, different models have been proposed, mainly in flat peer-to-peer networks, in which exchanging information efficiently is a key aspect due to scarce resources. However, little research has been conducted on information quality metrics for cyber-physical scenarios. In this paper, we propose an information quality metric and show its application to an information fusion model. It is a “model-oriented quality metric” since it allows non-predefined variants on its configuration depending on the application domain. The model was tested on several simulations using open datasets. The results obtained in the performance of the model confirm the validity of the information quality metric, proposed in this paper, on which the model is based. The model may have a wide variety of applications such as mobile recommendation or decision making in critical environments (emergencies, war, and so on).
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Keywords

Adaptive peer-to-peer systemsInformation fusionInformation quality metricUncertain information handling

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal COMPUTERS & ELECTRICAL ENGINEERING 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 Computer Science (Miscellaneous). 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:

  • Google Scholar: 20
  • WoS: 8
  • Scopus: 12
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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, 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: 36.
  • 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: 36 (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.
  • 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.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/87618/

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: 144
  • Downloads: 17
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Italy; United Arab Emirates.

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 (Paggi H) .

the author responsible for correspondence tasks has been Paggi H.

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