Guruprasad Samanta

Prof. Dr. Guruprasad Samanta

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Research Focus & Metrics

Academic Career Length

38Years (1989-Present)

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

Representative Publications

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1 February 2013 in Mathematical Biosciences
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Journal Article
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DPD. Pal
D. Pal
GMG S Mahapatra
G S Mahapatra
GSGuruprasad Samanta
Guruprasad Samanta

1 January 2015 in Chaos, Solitons & Fractals
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Journal Article
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SSSwarnali Sharma
Swarnali Sharma
GSGuruprasad Samanta
Guruprasad Samanta

1 April 2015 in Economic Modelling
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Journal Article
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SPShilpi Pal
Shilpi Pal
GMG S Mahapatra
G S Mahapatra
GSGuruprasad Samanta
Guruprasad Samanta

13 October 2009 in Journal of Applied Mathematics and Computing
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GSGuruprasad Samanta
Guruprasad Samanta

26 August 2020 in Nonlinear Dynamics
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SSSangeeta Saha
Sangeeta Saha
GSGuruprasad Samanta
Guruprasad Samanta
Juan J. NietoJuan J. Nieto
Juan J. Nieto

2 July 2020 in Journal of Physics A: Mathematical and Theoretical
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SMSudeshna Mondal
Sudeshna Mondal
GSGuruprasad Samanta
Guruprasad Samanta
The main object of this work is to analyse the impacts of fear effect on the dynamics of predator–prey interaction incorporating non linear prey refuge to control the extinction of predator. We have taken a Holling type II functional response in presence of additional food. The positivity and uniform boundedness of solutions have been discussed. The feasibility conditions of all equilibrium points and their stability behaviours are derived. Next, we have studied the existence of local bifurcation (transcritical bifurcation) of codimension 1. Moreover, impacts of fear effect have been studied analytically and noticed that the predator biomass can not only be decreased at the interior equilibrium by the effect of fear but the system also be stabilized by excluding the existence of periodic solutions through Hopf-bifurcation. In addition, uniform persistence of our proposed system has been discussed analytically. Further, we have analysed the stability behaviours of the interior equilibrium for all combinations of the delay factors ( τ and τ ′) and observed that the delay parameters may produce oscillating behaviours through a Hopf-bifurcation. Numerical simulations have been illustrated using MATLAB to validate all the analytical results. Numerically, the impact of coefficient of prey refuge on the predator population has also been performed.