| Three digit accurate multiple normal probabilities I Deák Numerische Mathematik 35, 369-380, 1980 | 173 | 1980 |
| Random number generators and simulation I Deák (No Title), 1990 | 139 | 1990 |
| Computing multivariate normal probabilities: A new look HI Gassmann, I Deák, T Szántai Journal of Computational and Graphical Statistics 11 (4), 920-949, 2002 | 80 | 2002 |
| The STABIL stochastic programming model and its experimental application to the electrical energy sector of the Hungarian economy A Prékopa, S Ganczer, I Deák, K Patyi Stochastic programming, 369-385, 1980 | 63 | 1980 |
| Computing probabilites of rectangles in case of multinormal distribution I Deák Journal of Statistical Computation and Simulation 26 (1-2), 101-114, 1986 | 54 | 1986 |
| Subroutines for computing normal probabilities of sets—computer experiences I Deák Annals of Operations Research 100, 103-122, 2000 | 48 | 2000 |
| Multidimensional integration and stochastic programming I Deák Springer Series in Computational Mathematics, 187-200, 1988 | 47 | 1988 |
| Uniform random number generators for parallel computers I Deák Parallel Computing 15 (1-3), 155-164, 1990 | 34 | 1990 |
| Thermal characterization of different graphite polystyrene Á Lakatos, I Deák, U Berardi International Review of Applied Sciences and Engineering 9 (2), 163-168, 2018 | 29 | 2018 |
| Two-stage stochastic problems with correlated normal variables: computational experiences I Deák Annals of Operations Research 142 (1), 79-97, 2006 | 29 | 2006 |
| Computation of multiple normal probabilities I Deak Recent Results in Stochastic Programming: Proceedings, Oberwolfach, January …, 1980 | 28 | 1980 |
| Accelerated clearance alone explains ultra‐large multimers in von Willebrand disease Vicenza A Gézsi, U Budde, I Deák, E Nagy, A Mohl, Á Schlammadinger, Z Boda, ... Journal of Thrombosis and Haemostasis 8 (6), 1273-1280, 2010 | 27 | 2010 |
| Probabilities of simple n-dimensional sets for the normal distribution I Deak IIE Transactions 35 (3), 285-293, 2003 | 23 | 2003 |
| Computational results of an O∗(n4) volume algorithm L Lovász, I Deák European journal of operational research 216 (1), 152-161, 2012 | 19 | 2012 |
| Linear regression estimators for multinormal distributions in optimization of stochastic programming problems I Deák European journal of operational research 111 (3), 555-568, 1998 | 18 | 1998 |
| Solving stochastic programming problems by successive regression approximations—numerical results I Deák Dynamic stochastic optimization, 209-224, 2003 | 17 | 2003 |
| An economical method for random number generation and a normal generator I Deák | 17 | 1981 |
| Comparison of methods for generating uniformly distributed random points in and on a hypersphere I Deak | 17 | 1979 |
| Testing successive regression approximations by large-scale two-stage problems I Deák Annals of Operations Research 186 (1), 83-99, 2011 | 13 | 2011 |
| Fast procedures for generating stationary normal vectors I Deák Journal of statistical computation and simulation 10 (3-4), 225-242, 1980 | 13 | 1980 |
