Approximate dynamic programming for ambulance redeployment MS Maxwell, M Restrepo, SG Henderson, H Topaloglu INFORMS Journal on Computing 22 (2), 266-281, 2010 | 285 | 2010 |

Dynamic-programming approximations for stochastic time-staged integer multicommodity-flow problems H Topaloglu, WB Powell INFORMS Journal on Computing 18 (1), 31-42, 2006 | 243 | 2006 |

Assortment optimization under the multinomial logit model with random choice parameters P Rusmevichientong, D Shmoys, C Tong, H Topaloglu Production and Operations Management 23 (11), 2023-2039, 2014 | 240* | 2014 |

Assortment optimization under variants of the nested logit model JM Davis, G Gallego, H Topaloglu Operations Research 62 (2), 250-273, 2014 | 240 | 2014 |

Appointment scheduling under patient preference and no-show behavior J Feldman, N Liu, H Topaloglu, S Ziya Operations Research 62 (4), 794-811, 2014 | 177 | 2014 |

The *d*-Level Nested Logit Model: Assortment and Price Optimization ProblemsG Li, P Rusmevichientong, H Topaloglu Operations Research 63 (2), 325-342, 2015 | 169 | 2015 |

Learning algorithms for separable approximations of discrete stochastic optimization problems W Powell, A Ruszczyński, H Topaloglu Mathematics of Operations Research 29 (4), 814-836, 2004 | 163 | 2004 |

Constrained assortment optimization for the nested logit model G Gallego, H Topaloglu Management Science 60 (10), 2583-2601, 2014 | 162 | 2014 |

Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model P Rusmevichientong, H Topaloglu | 150 | 2011 |

Using Lagrangian relaxation to compute capacity-dependent bid prices in network revenue management H Topaloglu Operations Research 57 (3), 637-649, 2009 | 143 | 2009 |

Stochastic programming in transportation and logistics WB Powell, H Topaloglu Handbooks in operations research and management science 10, 555-635, 2003 | 138 | 2003 |

Assortment planning under the multinomial logit model with totally unimodular constraint structures J Davis, G Gallego, H Topaloglu Work in Progress, 2013 | 129 | 2013 |

A new dynamic programming decomposition method for the network revenue management problem with customer choice behavior S Kunnumkal, H Topaloglu Production and Operations Management 19 (5), 575-590, 2010 | 101 | 2010 |

Fleet management WB Powell, H Topaloglu Applications of stochastic programming, 185-215, 2005 | 91 | 2005 |

Erlang loss models for the static deployment of ambulances M Restrepo, SG Henderson, H Topaloglu Health care management science 12 (1), 67, 2009 | 88 | 2009 |

A refined deterministic linear program for the network revenue management problem with customer choice behavior S Kunnumkal, H Topaloglu Naval Research Logistics (NRL) 55 (6), 563-580, 2008 | 79 | 2008 |

Capacity constraints across nests in assortment optimization under the nested logit model JB Feldman, H Topaloglu Operations Research 63 (4), 812-822, 2015 | 77 | 2015 |

Ambulance redeployment: An approximate dynamic programming approach MS Maxwell, SG Henderson, H Topaloglu Proceedings of the 2009 Winter Simulation Conference (WSC), 1850-1860, 2009 | 74 | 2009 |

Revenue management under the markov chain choice model JB Feldman, H Topaloglu Operations Research 65 (5), 1322-1342, 2017 | 71 | 2017 |

Using stochastic approximation methods to compute optimal base-stock levels in inventory control problems S Kunnumkal, H Topaloglu Operations Research 56 (3), 646-664, 2008 | 63 | 2008 |