| Uncoupling evolutionary groundwater‐surface water flows using the Crank–Nicolson Leapfrog method M Kubacki Numerical Methods for Partial Differential Equations 29 (4), 1192-1216, 2013 | 48 | 2013 |
| A Crank–Nicolson Leapfrog stabilization: Unconditional stability and two applications N Jiang, M Kubacki, W Layton, M Moraiti, H Tran Journal of Computational and Applied Mathematics 281, 263-276, 2015 | 33 | 2015 |
| Analysis of a second-order, unconditionally stable, partitioned method for the evolutionary Stokes–Darcy model M Kubacki, M Moraiti Int. J. Numer. Anal. Model 12 (4), 704-730, 2015 | 33 | 2015 |
| Partitioned penalty methods for the transport equation in the evolutionary Stokes–Darcy‐transport problem V Ervin, M Kubacki, W Layton, M Moraiti, Z Si, C Trenchea Numerical Methods for Partial Differential Equations 35 (1), 349-374, 2019 | 12* | 2019 |
| Machine learning with feature importance analysis for tornado prediction from environmental sounding data B Coffer, M Kubacki, Y Wen, T Zhang, CA Barajas, MK Gobbert PAMM 20 (1), e202000112, 2021 | 4 | 2021 |
| On limiting behavior of contaminant transport models in coupled surface and groundwater flows VJ Ervin, M Kubacki, W Layton, M Moraiti, Z Si, C Trenchea Axioms 4 (4), 518-529, 2015 | 4 | 2015 |
| Using machine learning techniques for supercell tornado prediction with environmental sounding data B Coffer, M Kubacki, Y Wen, T Zhang, CA Barajas, MK Gobbert UMBC, 2020 | 3 | 2020 |
| Non-Iterative Partitioned Methods for Uncoupling Evolutionary Groundwater–Surface Water Flows M Kubacki, H Tran Fluids 2 (3), 47, 2017 | 2 | 2017 |
| Higher-order, strongly stable methods for uncoupling groundwater-surface water flow M Kubacki University of Pittsburgh, 2014 | 1 | 2014 |
William LaytonProfessor, University of PittsburghVerified email at pitt.edu
