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Analysis of institutional authors

Esteve Domingo, ManuelAuthorEsteve, MAuthorGomez, JaAuthorPalau Salvador, Carlos EnriqueAuthorPalau, CAuthorPerez-Llopis, IAuthor

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October 30, 2024
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Reduced computational cost prototype for street theft detection based on depth decrement in Convolutional Neural Network. Application to Command and Control Information Systems (C2IS) in the National Police of Colombia

Publicated to: International Journal of Computational Intelligence Systems. 12 (1): 123-130 - 2018-01-01 12(1), DOI: 10.2991/ijcis.2018.25905186

Authors:

Suarez-Paez, Julio Ernesto; Salcedo-González, Mayra Liliana; Esteve Domingo, Manuel; Gomez, J.A.; Palau Salvador, Carlos Enrique; Pérez Llopis, Israel
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Affiliations

Univ Politecn Valencia, Distributed Real Time Syst Lab SATRD, Camino Vera S-N - Author
Univ Politecn Valencia, Pattern Recognit & Human Language Technol, Camino Vera S-N - Author

Abstract

This paper shows the implementation of a prototype of street theft detector using the deep learning technique R-CNN (Region-Based Convolutional Network), applied in the Command and Control Information System (C2IS) of National Police of Colombia, the prototype is implemented using three models of CNN (Convolutional Neural Network), AlexNet, VGG16 and VGG19 comparing their computational cost measuring the image processing time, according to the complexity (depth) of each model. Finally, we conclude which model has the lowest computational cost and is more useful for the case of the National Police of Colombia.
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Keywords

AlexnetCnn (convolutional neural network)Command and control information system (c2is)Command and control systemsCommand-and-control information systemsConvolutionConvolutional neural networkCrimeDeep learningImage processingInformation systemsInformation useNeural networksR-cnnVgg16Vgg19

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal International Journal of Computational Intelligence Systems 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, 2018, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science (Miscellaneous).

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 2026-04-06:

  • WoS: 3
  • Scopus: 3
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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 2026-04-06:

  • 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: 7.
  • 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: 7 (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: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (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: http://hdl.handle.net/10251/123473
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: United Kingdom.

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 (Suarez-Paez, J) and Last Author (Pérez Llopis, Israel).

the author responsible for correspondence tasks has been Suarez-Paez, J.

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