Modeling optimal intervention strategies for cholera RL Miller Neilan, E Schaefer, H Gaff, KR Fister, S Lenhart Bulletin of mathematical biology 72, 2004-2018, 2010 | 286 | 2010 |
An Introduction to Optimal Control with an Application in Disease Modeling. R Miller Neilan, S Lenhart Modeling paradigms and analysis of disease trasmission models, 67-81, 2010 | 123 | 2010 |
Optimization and control of agent-based models in biology: a perspective G An, BG Fitzpatrick, S Christley, P Federico, A Kanarek, R Miller Neilan, ... Bulletin of mathematical biology 79 (1), 63-87, 2017 | 76 | 2017 |
Optimal vaccine distribution in a spatiotemporal epidemic model with an application to rabies and raccoons R Miller Neilan, S Lenhart Journal of mathematical analysis and applications 378 (2), 603-619, 2011 | 60 | 2011 |
Simulating the effects of fluctuating dissolved oxygen on growth, reproduction, and survival of fish and shrimp R Miller Neilan, K Rose Journal of theoretical biology 343, 54-68, 2014 | 52 | 2014 |
Optimal control applied to native–invasive population dynamics DL Kern, S Lenhart, R Miller Neilan, J Yong Journal of Biological Dynamics 1 (4), 413-426, 2007 | 38 | 2007 |
Modeling the population effects of hypoxia on Atlantic croaker (Micropogonias undulatus) in the northwestern Gulf of Mexico: part 1—model description and idealized hypoxia KA Rose, S Creekmore, P Thomas, JK Craig, MS Rahman, ... Estuaries and Coasts 41 (1), 233-254, 2018 | 32 | 2018 |
Modeling the population effects of hypoxia on Atlantic croaker (Micropogonias undulatus) in the northwestern Gulf of Mexico: part 2—realistic hypoxia and eutrophication KA Rose, S Creekmore, D Justić, P Thomas, JK Craig, R Miller Neilan, ... Estuaries and Coasts 41 (1), 255-279, 2018 | 23 | 2018 |
A spatial agent-based model of feral cats and analysis of population and nuisance controls T Ireland, R Miller Neilan Ecological Modelling 337, 123-136, 2016 | 18 | 2016 |
Optimal control of vancomycin-resistant enterococci using preventive care and treatment of infections J Lowden, R Miller Neilan, M Yahdi Mathematical Biosciences 249, 8-17, 2014 | 17 | 2014 |
Optimal Control Applied to Population and Disease Models R Miller Neilan University of Tennessee, Knoxville, 2009 | 12 | 2009 |
Agent-based modeling of the central amygdala and pain using cell-type specific physiological parameters R Miller Neilan, G Majetic, M Gil-Silva, AP Adke, Y Carrasquillo, BJ Kolber PLoS computational biology 17 (6), e1009097, 2021 | 11 | 2021 |
Assessing the impact of motivation and ability on team-based productivity using an agent-based model J Di Pietrantonio, R Miller Neilan, JB Schreiber Computational and Mathematical Organization Theory 25, 499-520, 2019 | 10 | 2019 |
Optimal control of sugarscape agent‐based model via a PDE approximation model S Christley, R Miller Neilan, M Oremland, R Salinas, S Lenhart Optimal Control Applications and Methods 38 (4), 473-497, 2017 | 7 | 2017 |
Evaluation of alternative PCB clean-up strategies using an individual-based population model of mink CJ Salice, BE Sample, R Miller Neilan, KA Rose, S Sable Environmental pollution 159 (12), 3334-3343, 2011 | 7 | 2011 |
Modeling Neural Behavior and Pain During Bladder Distention using an Agent-based Model of the Central Nucleus of the Amygdala J Baktay, R Miller Neilan, M Behun, N McQuaid, B Kolber Spora: a journal of biomathematics 5, 1, 2019 | 4 | 2019 |
Modeling fish growth in low dissolved oxygen R Miller Neilan PRIMUS 23 (8), 748-758, 2013 | 4 | 2013 |
Optimal control applied to population and disease models R Miller Neilan | 3 | 2009 |
Feasibility of Using Commercially Available Accelerometers to Monitor Upper Extremity Home Practice With Persons Post-stroke: A Secondary Data Analysis KN de Castro, EV Donoso Brown, R Miller Neilan, SE Wallace Frontiers in Virtual Reality 2, 642434, 2021 | 2 | 2021 |
Combating human trafficking using mathematics AJ Vogt, R Miller Neilan | 2 | 2016 |