Ram Rup Sarkar
Ram Rup Sarkar
Senior Principal Scientist at CSIR-National Chemical Laboratory, Pune India
Verified email at ncl.res.in - Homepage
Cited by
Cited by
Mathematical models of malaria-a review
S Mandal, RR Sarkar, S Sinha
Malaria journal 10 (1), 1-19, 2011
Toxin-producing plankton may act as a biological control for planktonic blooms—field study and mathematical modelling
J Chattopadhayay, RR Sarkar, S Mandal
Journal of Theoretical Biology 215 (3), 333-344, 2002
Visceral Leishmaniasis in the Indian Subcontinent: Modelling Epidemiology and Control
A Stauch, RR Sarkar, A Picado, B Ostyn, S Sundar, S Rijal, M Boelaert, ...
PLoS Neglected Tropical Diseases 5 (11), e1405, 2011
A delay differential equation model on harmful algal blooms in the presence of toxic substances
J Chattopadhyay, RR Sarkar, A El Abdllaoui
Mathematical Medicine and Biology: A Journal of the IMA 19 (2), 137-161, 2002
Cancer self remission and tumor stability–a stochastic approach
RR Sarkar, S Banerjee
Mathematical Biosciences 196 (1), 65-81, 2005
Occurrence of planktonic blooms under environmental fluctuations and its possible control mechanism—mathematical models and experimental observations
RR Sarkar, J Chattopadhayay
Journal of Theoretical biology 224 (4), 501-516, 2003
Delay-induced model for tumor–immune interaction and control of malignant tumor growth
S Banerjee, RR Sarkar
Biosystems 91 (1), 268-288, 2008
Comparison of human cell signaling pathway databases—evolution, drawbacks and challenges
S Chowdhury, RR Sarkar
DATABASE The Journal of Biological Databases and Curation 2015 (10.1093 …, 2015
Spatiotemporal patterns in an excitable plankton system with lysogenic viral infection
H Malchow, FM Hilker, RR Sarkar, K Brauer
Mathematical and computer modelling 42 (9-10), 1035-1048, 2005
Chaos to order: preliminary experiments with a population dynamics models of three trophic levels
J Chattopadhyay, RR Sarkar
Ecological Modelling 163 (1-2), 45-50, 2003
Removal of infected prey prevent limit cycle oscillations in an infected prey–predator system—a mathematical study
J Chattopadhyay, RR Sarkar, G Ghosal
Ecological Modelling 156 (2-3), 113-121, 2002
Dynamics of nutrient–phytoplankton interaction in the presence of viral infection
J Chattopadhyay, RR Sarkar, S Pal
BioSystems 68 (1), 5-17, 2003
Time lags can control algal bloom in two harmful phytoplankton–zooplankton system
RR Sarkar, B Mukhopadhyay, R Bhattacharyya, S Banerjee
Applied Mathematics and Computation 186 (1), 445-459, 2007
Mathematical modelling of harmful algal blooms supported by experimental findings
J Chattopadhyay, RR Sarkar, S Pal
Ecological Complexity 1 (3), 225-235, 2004
Role of two toxin-producing plankton and their effect on phytoplankton–zooplankton system–a mathematical study supported by experimental findings
RR Sarkar, S Pal, J Chattopadhyay
BioSystems 80 (1), 11-23, 2005
The role of environmental stochasticity in a toxic phytoplankton–non‐toxic phytoplankton–zooplankton system
RR Sarkar, J Chattopadhayay
Environmetrics: The official journal of the International Environmetrics …, 2003
Parasitoids may determine plant fitness—a mathematical model based on experimental data
J Chattopadhayay, R Sarkar, ME Fritzsche-Hoballah, TCJ Turlings, ...
Journal of theoretical Biology 212 (3), 295-302, 2001
Multi-step polynomial regression method to model and forecast malaria incidence
C Chatterjee, RR Sarkar
PLoS One 4 (3), e4726, 2009
Impacts of incubation delay on the dynamics of an eco-epidemiological system—a theoretical study
N Bairagi, RR Sarkar, J Chattopadhyay
Bulletin of mathematical biology 70 (7), 2017, 2008
A time delay model for control of malignant tumor growth
RR Sarkar, S Banerjee
National Conference on Nonlinear Systems and Dynamics 1, 2006
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