Hristo V Kojouharov

Prof. Hristo V Kojouharov

orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 May 2006 in Journal of Computational and Applied Mathematics
Verified
Journal Article
Closed access
DDDobromir T. Dimitrov
Dobromir T. Dimitrov
Hristo V KojouharovHristo V Kojouharov
Hristo V Kojouharov

1 May 2013 in Mathematical and Computer Modelling
Verified
Journal Article
Closed access
Benito Chen-CharpentierBenito Chen-Charpentier
Benito Chen-Charpentier
Hristo V KojouharovHristo V Kojouharov
Hristo V Kojouharov

1 July 2005 in Applied Mathematics Letters
Verified
Journal Article
Closed access
DDDobromir T. Dimitrov
Dobromir T. Dimitrov
Hristo V KojouharovHristo V Kojouharov
Hristo V Kojouharov

1 June 2008 in Mathematics and Computers in Simulation
Verified
Journal Article
Closed access
DDDobromir T. Dimitrov
Dobromir T. Dimitrov
Hristo V KojouharovHristo V Kojouharov
Hristo V Kojouharov


3 April 2018 in Journal of Interdisciplinary Mathematics
Verified
Journal Article
Closed access
Gilberto Gonzalez-ParraGilberto Gonzalez-Parra
Gilberto Gonzalez-Parra
Benito Chen-CharpentierBenito Chen-Charpentier
Benito Chen-Charpentier
Hristo V KojouharovHristo V Kojouharov
Hristo V Kojouharov
This paper presents a new mathematical model of crime that incorporates certain important relationships and behavioral changes of the individuals under consideration. The main model assumption is that crime can be considered as a social epidemic process. The threshold parameter ℛ0 for the extinction of criminality is computed using the method of the next generation matrix, which allows for insights about what are the best policies to control crime. The analysis shows that when the threshold parameter ℛ0 is less than unity, criminality disappears, while the reverse results in persistence of criminality in the society. In addition, a sensitivity analysis is performed to investigate and understand the importance of specific model parameters in decreasing criminality.