| Comparing dengue and chikungunya emergence and endemic transmission in A. aegypti and A. albopictus CA Manore, KS Hickmann, S Xu, HJ Wearing, JM Hyman Journal of theoretical biology 356, 174-191, 2014 | 227 | 2014 |
| Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge M Biggerstaff, D Alper, M Dredze, S Fox, ICH Fung, KS Hickmann, ... BMC infectious diseases 16, 1-10, 2016 | 201 | 2016 |
| Forecasting seasonal influenza with a state-space SIR model D Osthus, KS Hickmann, PC Caragea, D Higdon, SY Del Valle The annals of applied statistics 11 (1), 202, 2017 | 186 | 2017 |
| Forecasting the 2013–2014 influenza season using Wikipedia KS Hickmann, G Fairchild, R Priedhorsky, N Generous, JM Hyman, ... PLoS computational biology 11 (5), e1004239, 2015 | 178 | 2015 |
| Data assimilation in the ADAPT photospheric flux transport model KS Hickmann, HC Godinez, CJ Henney, CN Arge Solar Physics 290, 1105-1118, 2015 | 164 | 2015 |
| Epidemic forecasting is messier than weather forecasting: The role of human behavior and internet data streams in epidemic forecast KR Moran, G Fairchild, N Generous, K Hickmann, D Osthus, ... The Journal of infectious diseases 214 (suppl_4), S404-S408, 2016 | 141 | 2016 |
| A network-patch methodology for adapting agent-based models for directly transmitted disease to mosquito-borne disease CA Manore, KS Hickmann, JM Hyman, IM Foppa, JK Davis, DM Wesson, ... Journal of biological dynamics 9 (1), 52-72, 2015 | 58 | 2015 |
| A path-based distance for street map comparison M Ahmed, BT Fasy, KS Hickmann, C Wenk ACM Transactions on Spatial Algorithms and Systems (TSAS) 1 (1), 1-28, 2015 | 44 | 2015 |
| Understanding the impact of face mask usage through epidemic simulation of large social networks SM Mniszewski, SY Del Valle, R Priedhorsky, JM Hyman, KS Hickman Theories and simulations of complex social systems, 97-115, 2014 | 24 | 2014 |
| Transmission eigenvalues and thermoacoustic tomography D Finch, KS Hickmann Inverse Problems 29 (10), 104016, 2013 | 22 | 2013 |
| Data assimilative optimization of WSA source surface and interface radii using particle filtering GD Meadors, SI Jones, KS Hickmann, CN Arge, HC Godinez‐Vasquez, ... Space weather 18 (5), e2020SW002464, 2020 | 17 | 2020 |
| Unique determination of acoustic properties from thermoacoustic data KS Hickmann Oregon State University, 2010 | 14 | 2010 |
| Particle image velocimetry analysis with simultaneous uncertainty quantification using Bayesian neural networks MC Morrell, K Hickmann, BM Wilson Measurement Science and Technology 32 (10), 104003, 2021 | 13 | 2021 |
| Interior transmission eigenvalue problem with refractive index having C2-transition to the background medium KS Hickmann Applicable Analysis 91 (9), 1675-1690, 2012 | 13 | 2012 |
| Optimizing human activity patterns using global sensitivity analysis G Fairchild, KS Hickmann, SM Mniszewski, SY Del Valle, JM Hyman Computational and mathematical organization theory 20, 394-416, 2014 | 12 | 2014 |
| A multiresolution ensemble Kalman filter using the wavelet decomposition KS Hickmann, HC Godinez Computational Geosciences 21, 441-458, 2017 | 6 | 2017 |
| Scale-dependent data assimilation of solar photospheric magnetic field KS Hickmann, HC Godinez, CJ Henney, CN Arge IFAC-PapersOnLine 49 (18), 193-198, 2016 | 6 | 2016 |
| Quantifying uncertainty in stochastic models with parametric variability KS Hickmann, JM Hyman, SY Del Valle arXiv preprint arXiv:1503.01401, 2015 | 3 | 2015 |
| The interior transmission spectrum in one dimension KS Hickmann Inverse problems 28 (11), 115007, 2012 | 3 | 2012 |
| Data-driven learning of impactor strength properties from shock experiments with additively manufactured materials K Hickmann, D Shutt, AK Robinson, J Lind Applications of Machine Learning 2021 11843, 1184303, 2021 | 2 | 2021 |
James M. HymanEmeritus Professor of Mathematics, Tulane UniversityAdresă de e-mail confirmată pe tulane.edu
