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Analysis of institutional authors

Carraminana, DavidCorresponding AuthorBernardos, Ana MAuthorBesada, Juan AAuthorCasar, Jose RAuthor

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May 29, 2025
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Enhancing healthcare infrastructure resilience through agent-based simulation methods

Publicated to: COMPUTER COMMUNICATIONS. 234 108070- - 2025-03-15 234(), DOI: 10.1016/j.comcom.2025.108070

Authors:

Carramiñana, D; Bernardos, AM; Besada, JA; Casar, JR
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Affiliations

Univ Politecn Madrid, Informat Proc & Telecommun Ctr, Madrid 28040, Spain - Author

Abstract

Critical infrastructures face demanding challenges due to natural and human-generated threats, such as pandemics, workforce shortages or cyber-attacks, which might severely compromise service quality. To improve system resilience, decision-makers would need intelligent tools for quick and efficient resource allocation. This article explores an agent-based simulation model that intends to capture a part of the complexity of critical infrastructure systems, particularly considering the interdependencies of healthcare systems with information and telecommunication systems. Such a model enables to implement a simulation-based optimization approach in which the exposure of critical systems to risks is evaluated, while comparing the mitigation effects of multiple tactical and strategical decision alternatives to enhance their resilience. The proposed model is designed to be parameterizable, to enable adapting it to risk scenarios with different severity, and it facilitates the compilation of relevant performance indicators enabling monitoring at both agent level and system level. To validate the agent-based model, a literature-supported methodology has been used to perform cross-validation, sensitivity analysis and test the usefulness of the proposed model through a use case. The use case analyzes the impact of a concurrent pandemic and a cyber-attack on a hospital and compares different resiliency-enhancing countermeasures using contingency tables. Overall, the use case illustrates the feasibility and versatility of the proposed approach to enhance resiliency.
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Keywords

Agent based simulationAgent-based modelAgent-based modellingCritical infrastructuresCyber attacksCyber-attacksDecision supporDecision supportDecision support systemsDecision supportsHealthcare infrastructureHealthcare systemsInfrastructure resiliencesResilienceRisk assessmentRisk perceptionSensitivity analysisService qualitySimulation

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal COMPUTER COMMUNICATIONS 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, 2025, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Networks and Communications.

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 2026-04-25:

  • WoS: 1
  • Scopus: 2
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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 2026-04-25:

  • 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: 60.
  • 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).

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: https://oa.upm.es/87751/

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: 183
  • Downloads: 181
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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 (CARRAMIÑANA JIMENEZ, DAVID) and Last Author (CASAR CORREDERA, JOSE RAMON).

the author responsible for correspondence tasks has been CARRAMIÑANA JIMENEZ, DAVID.

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Awards linked to the item

Authors acknowledge sponsorship from Horizon Europe EDF project 101103386 y and Universidad Politecnica de Madrid project RP220022063. This research has been partially funded by Horizon Europe EDF project 101103386, by Spanish Ministerio de Ciencia e Innovacion (MCIN/AEI/10.13039/501100011033) project PID2020-118249RB-C21 and by Universidad Politecnica de Madrid project RP220022063.
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