| Quasistationary distributions and Fleming-Viot processes in finite spaces A Asselah, PA Ferrari, P Groisman Journal of Applied Probability 48 (2), 322-332, 2011 | 58 | 2011 |
| Simulation of quasi-stationary distributions on countable spaces P Groisman, M Jonckheere arXiv preprint arXiv:1206.6712, 2012 | 49 | 2012 |
| Fleming–Viot selects the minimal quasi-stationary distribution: The Galton–Watson case A Asselah, PA Ferrari, P Groisman, M Jonckheere | 45 | 2016 |
| Time–space white noise eliminates global solutions in reaction–diffusion equations JF Bonder, P Groisman Physica D: Nonlinear Phenomena 238 (2), 209-215, 2009 | 45 | 2009 |
| Totally discrete explicit and semi-implicit Euler methods for a blow-up problem in several space dimensions P Groisman Computing 76 (3), 325-352, 2006 | 42 | 2006 |
| Asymptotic behaviour for a numerical approximation of a parabolic problem with blowing up solutions P Groisman, JD Rossi Journal of computational and applied mathematics 135 (1), 135-155, 2001 | 38 | 2001 |
| Optimization of the first Steklov eigenvalue in domains with holes: a shape derivative approach JF Bonder, P Groisman, JD Rossi Annali di Matematica Pura ed Applicata 186, 341-358, 2007 | 37 | 2007 |
| A robust clustering method for detection of abnormal situations in a process with multiple steady-state operation modes M Maestri, A Farall, P Groisman, M Cassanello, G Horowitz Computers & chemical engineering 34 (2), 223-231, 2010 | 36 | 2010 |
| On the dependence of the blow-up time with respect to the initial data in a semilinear parabolic problem P Groisman, JD Rossi, H Zaag Taylor & Francis Group 28 (3-4), 737-744, 2003 | 30 | 2003 |
| Dependence of the blow‐up time with respect to parameters and numerical approximations for a parabolic problem P Groisman, JD Rossi Asymptotic Analysis 37 (1), 79-91, 2004 | 28 | 2004 |
| Numerical blow-up for a nonlinear problem with a nonlinear boundary condition R Ferreira, P Groisman, JD Rossi Mathematical models and methods in applied sciences 12 (04), 461-483, 2002 | 28 | 2002 |
| Numerical analysis of stochastic differential equations with explosions J Dávila, JF Bonder, JD Rossi, P Groisman, M Sued Stochastic Analysis and Applications 23 (4), 809-825, 2005 | 25 | 2005 |
| Fully discrete adaptive methods for a blow-up problem C Brandle, P Groisman, JD Rossi Mathematical Models and Methods in Applied Sciences 14 (10), 1425-1450, 2004 | 22 | 2004 |
| Front Propagation and Quasi-Stationary Distributions: Two Faces of the Same Coin P Groisman, M Jonckheere Sojourns in Probability Theory and Statistical Physics-III, 242-254, 2019 | 21* | 2019 |
| Adaptive numerical schemes for a parabolic problem with blow‐up R Ferreira, P Groisman, JD Rossi IMA journal of numerical analysis 23 (3), 439-463, 2003 | 20 | 2003 |
| Numerical blow‐up for the porous medium equation with a source R Ferreira, P Groisman, JD Rossi Numerical Methods for Partial Differential Equations: An International …, 2004 | 19 | 2004 |
| Numerical approximation of a parabolic problem with a nonlinear boundary condition in several space dimensions G Acosta, JF Bonder, P Groisman, JD Rossi DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS SERIES B 2 (2), 279-294, 2002 | 18 | 2002 |
| Explosion time in stochastic differential equations with small diffusion P Groisman, JD Rossi Electronic Journal of Differential Equations 2007 (140), 1-9, 2007 | 17 | 2007 |
| Nonhomogeneous Euclidean first-passage percolation and distance learning P Groisman, M Jonckheere, F Sapienza Bernoulli 28 (1), 255-276, 2022 | 16 | 2022 |
| Intrinsic persistent homology via density-based metric learning X Fernández, E Borghini, G Mindlin, P Groisman Journal of Machine Learning Research 24 (75), 1-42, 2023 | 14 | 2023 |
Julio Daniel RossiBuenos Aires UnivVerified email at dm.uba.ar
