| Architecture aware partitioning algorithms I Moulitsas, G Karypis International Conference on Algorithms and Architectures for Parallel …, 2008 | 58 | 2008 |
| Combined effects of compressibility and slip in flows of a Herschel–Bulkley fluid Y Damianou, GC Georgiou, I Moulitsas Journal of Non-Newtonian Fluid Mechanics 193, 89-102, 2013 | 57 | 2013 |
| Multilevel algorithms for generating coarse grids for multigrid methods I Moulitsas, G Karypis Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 45-45, 2001 | 45 | 2001 |
| Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction DB Bisandu, I Moulitsas, S Filippone Neural Computing and Applications 34 (11), 8777-8802, 2022 | 24 | 2022 |
| Weakly compressible Poiseuille flows of a Herschel–Bulkley fluid E Taliadorou, GC Georgiou, I Moulitsas Journal of non-newtonian fluid mechanics 158 (1-3), 162-169, 2009 | 17 | 2009 |
| MGridGen/ParmGridGen, Serial/Parallel library for generating coase meshes for multigrid methods I Moulitsas, G Karypis Technical Report Version 1.0, University of Minnesota, Department of …, 2001 | 16* | 2001 |
| Dispersed-phase structural anisotropy in homogeneous magnetohydrodynamic turbulence at low magnetic Reynolds number DWI Rouson, SC Kassinos, I Moulitsas, IE Sarris, X Xu Physics of fluids 20 (2), 2008 | 15 | 2008 |
| Analysing the sentiment of air-traveller: A comparative analysis MS Homaid, DB Bisandu, I Moulitsas, K Jenkins International Journal of Computer Theory and Engineering 14 (2), 48-53, 2022 | 13 | 2022 |
| A grid-free abstraction of the Navier-Stokes equations in Fortran 95/2003 DWI Rouson, R Rosenberg, X Xu, I Moulitsas, SC Kassinos ACM Transactions on Mathematical Software (TOMS) 34 (1), 1-33, 2008 | 12 | 2008 |
| The duality between particle methods and artificial neural networks A Alexiadis, MJH Simmons, K Stamatopoulos, HK Batchelor, I Moulitsas Scientific reports 10 (1), 1-7, 2020 | 11 | 2020 |
| Partitioning algorithms for simultaneously balancing iterative and direct methods I Moulitsas, G Karypis | 11* | 2004 |
| How to modify LAMMPS: From the prospective of a particle method researcher A Albano, E le Guillou, A Danzé, I Moulitsas, IH Sahputra, A Rahmat, ... ChemEngineering 5 (2), 30, 2021 | 10 | 2021 |
| The virtual physiological human gets nerves! How to account for the action of the nervous system in multiphysics simulations of human organs A Alexiadis, MJH Simmons, K Stamatopoulos, HK Batchelor, I Moulitsas Journal of the Royal Society Interface 18 (177), 20201024, 2021 | 10 | 2021 |
| Split mode method for the elliptic 2D sine-Gordon equation: application to Josephson junction in overlap geometry JG Caputo, N Flytzanis, Y Gaididei, I Moulitsa, E Vavalis International Journal of Modern Physics C 9 (02), 301-323, 1998 | 9 | 1998 |
| A deep feedforward neural network and shallow architectures effectiveness comparison: Flight delays classification perspective DB Bisandu, MSA Homaid, I Moulitsas, S Filippone ACM, 2022 | 8 | 2022 |
| MPI to Coarray Fortran: experiences with a CFD solver for unstructured meshes A Sharma, I Moulitsas Scientific Programming, 2017 | 8 | 2017 |
| Performance evaluation of a two-dimensional lattice Boltzmann solver using CUDA and PGAS UPC based parallelisation M Szőke, TI Józsa, Á Koleszár, I Moulitsas, L Könözsy ACM Transactions on Mathematical Software (TOMS) 44 (1), 1-22, 2017 | 7 | 2017 |
| CranSLIK v2. 0: improving the stochastic prediction of oil spill transport and fate using approximation methods R Rutherford, I Moulitsas, BJ Snow, AJ Kolios, M De Dominicis Geoscientific Model Development 8 (10), 3365-3377, 2015 | 7 | 2015 |
| CranSLIK v1. 0: stochastic prediction of oil spill transport and fate using approximation methods BJ Snow, I Moulitsas, AJ Kolios, M De Dominicis Geoscientific Model Development 7 (4), 1507-1516, 2014 | 6 | 2014 |
| Multimodal Approach for Pilot Mental State Detection Based on EEG I Alreshidi, I Moulitsas, KW Jenkins Sensors 23 (17), 7350, 2023 | 5 | 2023 |
