Epidemiological Models Applied to Viruses in Computer Networks

Article Properties
Cite
Piqueira, Jose Roberto Castilh, et al. “Epidemiological Models Applied to Viruses in Computer Networks”. Journal of Computer Science, vol. 1, no. 1, 2005, pp. 31-34, https://doi.org/10.3844/jcssp.2005.31.34.
Piqueira, J. R. C., Navarro, B. F., & Monteiro, L. H. A. (2005). Epidemiological Models Applied to Viruses in Computer Networks. Journal of Computer Science, 1(1), 31-34. https://doi.org/10.3844/jcssp.2005.31.34
Piqueira JRC, Navarro BF, Monteiro LHA. Epidemiological Models Applied to Viruses in Computer Networks. Journal of Computer Science. 2005;1(1):31-4.
Citations
Title Journal Journal Categories Citations Publication Date
Bridge synergy and simplicial interaction in complex contagions

 Chaos: An Interdisciplinary Journal of Nonlinear Science
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
  • Science: Physics
 2024
Optimal control strategies for a computer network under virus threat Journal of Computational and Applied Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 4 2023
Investigation on the influence of heterogeneous synergy in contagion processes on complex networks

 Chaos: An Interdisciplinary Journal of Nonlinear Science
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
  • Science: Physics
 2 2023
From heterogeneous network to homogeneous network: the influence of structure on synergistic epidemic spreading

 Journal of Physics A: Mathematical and Theoretical
  • Science: Physics
  • Science: Mathematics
  • Science: Physics
 2 2023
Dynamical analysis and optimal control of a stochastic SIAR model for computer viruses The European Physical Journal Plus
  • Science: Physics
  • Science: Physics
 1 2023
Citations Analysis
Category Category Repetition
Science: Mathematics31
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods16
Technology: Engineering (General). Civil engineering (General)10
Science: Science (General): Cybernetics: Information theory7
Science: Mathematics: Instruments and machines: Electronic computers. Computer science7
Science: Physics7
Technology: Technology (General): Industrial engineering. Management engineering: Information technology5
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication5
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics5
Science: Science (General)3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Technology: Mechanical engineering and machinery2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering1
Social Sciences: Commerce: Business1
Social Sciences: Economic theory. Demography: Economics as a science1
Technology: Manufactures: Production management. Operations management1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Technology: Technology (General): Industrial engineering. Management engineering1
Science: Mathematics: Probabilities. Mathematical statistics1
Geography. Anthropology. Recreation: Environmental sciences1
Science: Biology (General)1
Science: Biology (General): Ecology1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
Technology: Environmental technology. Sanitary engineering1
The category Science: Mathematics 31 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Network virus-epidemic model with the point-to-group information propagation and was published in 2008. The most recent citation comes from a 2024 study titled Bridge synergy and simplicial interaction in complex contagions. This article reached its peak citation in 2012, with 8 citations. It has been cited in 32 different journals, 12% of which are open access. Among related journals, the Applied Mathematics and Computation cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year