| Year |
Citation |
Score |
| 2021 |
Sumida M, Gallego G, Rusmevichientong P, Topaloglu H, Davis J. Revenue-Utility Tradeoff in Assortment Optimization Under the Multinomial Logit Model with Totally Unimodular Constraints Management Science. 67: 2845-2869. DOI: 10.1287/mnsc.2020.3657 |
0.422 |
|
| 2020 |
Ma Y, Rusmevichientong P, Sumida M, Topaloglu H. An Approximation Algorithm for Network Revenue Management Under Nonstationary Arrivals Operations Research. 68: 834-855. DOI: 10.1287/Opre.2019.1931 |
0.418 |
|
| 2020 |
Zhang H, Rusmevichientong P, Topaloglu H. Assortment Optimization Under the Paired Combinatorial Logit Model Operations Research. 68: 741-761. DOI: 10.1287/Opre.2019.1930 |
0.378 |
|
| 2020 |
Rusmevichientong P, Sumida M, Topaloglu H. Dynamic Assortment Optimization for Reusable Products with Random Usage Durations Management Science. 66: 2820-2844. DOI: 10.1287/Mnsc.2019.3346 |
0.386 |
|
| 2020 |
Liu N, Ma Y, Topaloglu H. Assortment Optimization Under the Multinomial Logit Model with Sequential Offerings Informs Journal On Computing. 32: 835-853. DOI: 10.1287/Ijoc.2019.0910 |
0.362 |
|
| 2019 |
Feldman JB, Paul A, Topaloglu H. Technical Note: Assortment Optimization with Small Consideration Sets Operations Research. 67: 1283-1299. DOI: 10.1287/Opre.2018.1803 |
0.393 |
|
| 2019 |
Sumida M, Topaloglu H. An Approximation Algorithm for Capacity Allocation Over a Single Flight Leg with Fare-Locking Informs Journal On Computing. 31: 83-99. DOI: 10.1287/Ijoc.2018.0816 |
0.377 |
|
| 2019 |
Dong J, Simsek AS, Topaloglu H. Pricing Problems under the Markov Chain Choice Model Production and Operations Management. 28: 157-175. DOI: 10.1111/Poms.12903 |
0.488 |
|
| 2019 |
Lo V, Topaloglu H. Assortment optimization under the multinomial logit model with product synergies Operations Research Letters. 47: 546-552. DOI: 10.1016/J.Orl.2019.09.009 |
0.411 |
|
| 2018 |
Zhang H, Rusmevichientong P, Topaloglu H. Technical Note—Multiproduct Pricing Under the Generalized Extreme Value Models with Homogeneous Price Sensitivity Parameters Operations Research. 66: 1559-1570. DOI: 10.1287/Opre.2018.1740 |
0.411 |
|
| 2018 |
Şimşek AS, Topaloglu H. Technical Note—An Expectation-Maximization Algorithm to Estimate the Parameters of the Markov Chain Choice Model Operations Research. 66: 748-760. DOI: 10.1287/Opre.2017.1692 |
0.333 |
|
| 2017 |
Aydın N, Birbil Şİ, Topaloğlu H. Delayed purchase options in single-leg revenue management Transportation Science. 51: 1031-1045. DOI: 10.1287/Trsc.2015.0643 |
0.5 |
|
| 2017 |
Feldman JB, Topaloglu H. Technical Note—Capacitated Assortment Optimization Under the Multinomial Logit Model with Nested Consideration Sets Operations Research. 66: 380-391. DOI: 10.1287/Opre.2017.1672 |
0.369 |
|
| 2017 |
Feldman JB, Topaloglu H. Revenue Management Under the Markov Chain Choice Model Operations Research. 65: 1322-1342. DOI: 10.1287/Opre.2017.1628 |
0.478 |
|
| 2017 |
Davis JM, Topaloglu H, Williamson DP. Pricing Problems Under the Nested Logit Model with a Quality Consistency Constraint Informs Journal On Computing. 29: 54-76. DOI: 10.1287/Ijoc.2016.0714 |
0.405 |
|
| 2017 |
Gao J, Iyer KR, Topaloglu H. Price competition under linear demand and finite inventories: Contraction and approximate equilibria Operations Research Letters. 45: 382-387. DOI: 10.1016/J.Orl.2017.05.005 |
0.398 |
|
| 2015 |
Feldman JB, Topaloglu H. Capacity constraints across nests in assortment optimization under the nested logit model Operations Research. 63: 812-822. DOI: 10.1287/Opre.2015.1383 |
0.507 |
|
| 2015 |
Li G, Rusmevichientong P, Topaloglu H. The d-Level nested logit model: Assortment and price optimization problems Operations Research. 63: 325-341. DOI: 10.1287/Opre.2015.1355 |
0.473 |
|
| 2015 |
Rayfield WZ, Rusmevichientong P, Topaloglu H. Approximation methods for pricing problems under the nested logit model with price bounds Informs Journal On Computing. 27: 335-357. DOI: 10.1287/Ijoc.2014.0629 |
0.51 |
|
| 2015 |
Feldman J, Topaloglu H. Bounding Optimal Expected Revenues for Assortment Optimization under Mixtures of Multinomial Logits Production and Operations Management. 24: 1598-1620. DOI: 10.1111/Poms.12365 |
0.459 |
|
| 2015 |
Davis JM, Topaloglu H, Williamson DP. Assortment optimization over time Operations Research Letters. 43: 608-611. DOI: 10.1016/J.Orl.2015.08.007 |
0.437 |
|
| 2014 |
Maxwell MS, Cao Ni E, Tong C, Henderson SG, Topaloglu H, Hunter SR. A bound on the performance of an optimal ambulance redeployment policy Operations Research. 62: 1014-1027. DOI: 10.1287/Opre.2014.1302 |
0.398 |
|
| 2014 |
Feldman J, Liu N, Topaloglu H, Ziya S. Appointment scheduling under patient preference and no-show behavior Operations Research. 62: 794-811. DOI: 10.1287/Opre.2014.1286 |
0.372 |
|
| 2014 |
Davis JM, Gallego G, Topaloglu H. Assortment optimization under variants of the nested logit model Operations Research. 62: 250-273. DOI: 10.1287/Opre.2014.1256 |
0.482 |
|
| 2014 |
Gallego G, Topaloglu H. Constrained assortment optimization for the nested logit model Management Science. 60: 2583-2601. DOI: 10.1287/Mnsc.2014.1931 |
0.463 |
|
| 2014 |
Tong C, Topaloglu H. On the approximate linear programming approach for network revenue management problems Informs Journal On Computing. 26: 121-134. DOI: 10.1287/Ijoc.2013.0551 |
0.467 |
|
| 2014 |
Ding C, Rusmevichientong P, Topaloglu H. Balancing revenues and repair costs under partial information about product reliability Production and Operations Management. 23: 1899-1918. DOI: 10.1111/Poms.12214 |
0.435 |
|
| 2014 |
Rusmevichientong P, Shmoys D, Tong C, Topaloglu H. Assortment optimization under the multinomial logit model with random choice parameters Production and Operations Management. 23: 2023-2039. DOI: 10.1111/Poms.12191 |
0.465 |
|
| 2013 |
Topaloglu H. Joint stocking and product offer decisions under the multinomial logit model Production and Operations Management. 22: 1182-1199. DOI: 10.1111/J.1937-5956.2012.01423.X |
0.48 |
|
| 2013 |
Kumar R, Lewis ME, Topaloglu H. Dynamic service rate control for a single-server queue with Markov-modulated arrivals Naval Research Logistics. 60: 661-677. DOI: 10.1002/Nav.21560 |
0.307 |
|
| 2012 |
Topaloglu H, Ilker Birbil S, Frenk JBG, Noyan N. Tractable open loop policies for joint overbooking and capacity control over a single flight leg with multiple fare classes Transportation Science. 46: 460-481. DOI: 10.1287/Trsc.1110.0403 |
0.426 |
|
| 2012 |
Kunnumkal S, Talluri K, Topaloglu H. A randomized linear programming method for network revenue management with product-specific no-shows Transportation Science. 46: 90-108. DOI: 10.1287/Trsc.1110.0386 |
0.516 |
|
| 2012 |
Rusmevichientong P, Topaloglu H. Robust assortment optimization in revenue management under the multinomial logit choice model Operations Research. 60: 865-882. DOI: 10.1287/Opre.1120.1063 |
0.438 |
|
| 2012 |
Levin Y, Nediak M, Topaloglu H. Cargo capacity management with allotments and spot market demand Operations Research. 60: 351-365. DOI: 10.1287/Opre.1110.1023 |
0.452 |
|
| 2012 |
Topaloglu H. A duality based approach for network revenue management in airline alliances Journal of Revenue and Pricing Management. 11: 500-517. DOI: 10.1057/Rpm.2012.8 |
0.45 |
|
| 2011 |
Erdelyi A, Topaloglu H. Approximate dynamic programming for dynamic capacity allocation with multiple priority levels Iie Transactions (Institute of Industrial Engineers). 43: 129-142. DOI: 10.1080/0740817X.2010.504690 |
0.475 |
|
| 2011 |
Kunnumkal S, Topaloglu H. A randomized linear program for the network revenue management problem with customer choice behavior Journal of Revenue and Pricing Management. 10: 455-470. DOI: 10.1057/Rpm.2010.25 |
0.5 |
|
| 2011 |
Erdelyi A, Topaloglu H. Using decomposition methods to solve pricing problems in network revenue management Journal of Revenue and Pricing Management. 10: 325-343. DOI: 10.1057/Rpm.2009.53 |
0.525 |
|
| 2011 |
Kunnumkal S, Topaloglu H. Linear programming based decomposition methods for inventory distribution systems European Journal of Operational Research. 211: 282-297. DOI: 10.1016/J.Ejor.2010.11.026 |
0.511 |
|
| 2011 |
Kunnumkal S, Topaloglu H. A stochastic approximation algorithm to compute bid prices for joint capacity allocation and overbooking over an airline network Naval Research Logistics. 58: 323-343. DOI: 10.1002/Nav.20448 |
0.447 |
|
| 2010 |
Kunnumkal S, Topaloglu H. Computing time-dependent bid prices in network revenue management problems Transportation Science. 44: 38-62. DOI: 10.1287/Trsc.1090.0291 |
0.512 |
|
| 2010 |
Erdelyi A, Topaloglu H. A dynamic programming decomposition method for making overbooking decisions over an airline network Informs Journal On Computing. 22: 443-456. DOI: 10.1287/Ijoc.1090.0359 |
0.519 |
|
| 2010 |
Maxwell MS, Restrepo M, Henderson SG, Topaloglu H. Approximate dynamic programming for ambulance redeployment Informs Journal On Computing. 22: 266-281. DOI: 10.1287/Ijoc.1090.0345 |
0.444 |
|
| 2010 |
Kunnumkal S, Topaloglu H. A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm Acm Transactions On Modeling and Computer Simulation. 20. DOI: 10.1145/1842713.1842715 |
0.385 |
|
| 2010 |
Kunnumkal S, Topaloglu H. A new dynamic programming decomposition method for the network revenue management problem with customer choice behavior Production and Operations Management. 19: 575-590. DOI: 10.1111/J.1937-5956.2009.01118.X |
0.504 |
|
| 2010 |
Maxwell MS, Henderson SG, Topaloglu H. Identifying effective policies in approximate dynamic programming: Beyond regression Proceedings - Winter Simulation Conference. 1079-1087. DOI: 10.1109/WSC.2010.5679084 |
0.369 |
|
| 2010 |
Kunnumkal S, Topaloglu H. Simulation-based methods for booking control in network revenue management Proceedings - Winter Simulation Conference. 1890-1897. DOI: 10.1109/WSC.2010.5678881 |
0.326 |
|
| 2010 |
Kunnumkal S, Topaloglu H. A stochastic approximation algorithm for making pricing decisions in network revenue management problems Journal of Revenue and Pricing Management. 9: 419-442. DOI: 10.1057/Rpm.2010.27 |
0.472 |
|
| 2009 |
Restrepo M, Henderson SG, Topaloglu H. Erlang loss models for the static deployment of ambulances. Health Care Management Science. 12: 67-79. PMID 19938443 DOI: 10.1007/S10729-008-9077-4 |
0.359 |
|
| 2009 |
Topaloglu H. Using lagrangian relaxation to compute capacity-dependent bid prices in network revenue management Operations Research. 57: 637-649. DOI: 10.1287/Opre.1080.0597 |
0.494 |
|
| 2009 |
Maxwell MS, Henderson SG, Topaloglu H. Ambulance redeployment: An approximate dynamic programming approach Proceedings - Winter Simulation Conference. 1850-1860. DOI: 10.1109/WSC.2009.5429196 |
0.308 |
|
| 2009 |
Erdelyi A, Topaloglu H. Computing protection level policies for dynamic capacity allocation problems by using stochastic approximation methods Iie Transactions (Institute of Industrial Engineers). 41: 498-510. DOI: 10.1080/07408170802706543 |
0.418 |
|
| 2009 |
Erdelyi A, Topaloglu H. Separable approximations for joint capacity control and overbooking decisions in network revenue management Journal of Revenue and Pricing Management. 8: 3-20. DOI: 10.1057/Rpm.2008.45 |
0.492 |
|
| 2009 |
Topaloglu H. A tighter variant of Jensen's lower bound for stochastic programs and separable approximations to recourse functions European Journal of Operational Research. 199: 315-322. DOI: 10.1016/J.Ejor.2008.11.020 |
0.456 |
|
| 2009 |
Topaloglu H. On the asymptotic optimality of the randomized linear program for network revenue management European Journal of Operational Research. 197: 884-896. DOI: 10.1016/J.Ejor.2007.05.060 |
0.478 |
|
| 2009 |
Kunnumkal S, Topaloglu H. A stochastic approximation method for the single-leg revenue management problem with discrete demand distributions Mathematical Methods of Operations Research. 70: 477-504. DOI: 10.1007/S00186-008-0278-X |
0.476 |
|
| 2008 |
Kunnumkal S, Topaloglu H. Using stochastic approximation methods to compute optimal base-stock levels in inventory control problems Operations Research. 56: 646-664. DOI: 10.1287/Opre.1070.0477 |
0.457 |
|
| 2008 |
Topaloglu H. A stochastic approximation method to compute bid prices in network revenue management problems Informs Journal On Computing. 20: 596-610. DOI: 10.1287/Ijoc.1080.0269 |
0.473 |
|
| 2008 |
Kunnumkal S, Topaloglu H. Exploiting the structural properties of the underlying markov decision problem in the Q-learning algorithm Informs Journal On Computing. 20: 288-301. DOI: 10.1287/Ijoc.1070.0240 |
0.365 |
|
| 2008 |
Kunnumkal S, Topaloglu H. Price discounts in exchange for reduced customer demand variability and applications to advance demand information acquisition International Journal of Production Economics. 111: 543-561. DOI: 10.1016/J.Ijpe.2007.02.029 |
0.36 |
|
| 2008 |
Kunnumkal S, Topaloglu H. A tractable revenue management model for capacity allocation and overbooking over an airline network Flexible Services and Manufacturing Journal. 20: 125-147. DOI: 10.1007/S10696-009-9057-0 |
0.474 |
|
| 2008 |
Kunnumkal S, Topaloglu H. A duality-based relaxation and decomposition approach for inventory distribution systems Naval Research Logistics. 55: 612-631. DOI: 10.1002/Nav.20306 |
0.442 |
|
| 2008 |
Kunnumkal S, Topaloglu H. A refined deterministic linear program for the network revenue management problem with customer choice behavior Naval Research Logistics. 55: 563-580. DOI: 10.1002/Nav.20296 |
0.462 |
|
| 2007 |
Topaloglu H, Powell W. Incorporating pricing decisions into the stochastic dynamic fleet management problem Transportation Science. 41: 281-301. DOI: 10.1287/Trsc.1070.0196 |
0.625 |
|
| 2007 |
Topaloglu H, Powell WB. Sensitivity analysis of a dynamic fleet management model using approximate dynamic programming Operations Research. 55: 319-331. DOI: 10.1287/Opre.1060.0347 |
0.586 |
|
| 2007 |
King GJ, Topaloglu H. Incorporating the pricing decisions into the dynamic fleet management problem Journal of the Operational Research Society. 58: 1065-1074. DOI: 10.1057/Palgrave.Jors.2602232 |
0.481 |
|
| 2007 |
Topaloglu H. A parallelizable and approximate dynamic programming-based dynamic fleet management model with random travel times and multiple vehicle types Operations Research/ Computer Science Interfaces Series. 38: 65-93. |
0.407 |
|
| 2006 |
Topaloglu H, Powell WB. Dynamic-programming approximations for stochastic time-staged integer multicommodity-flow problems Informs Journal On Computing. 18: 31-42. DOI: 10.1287/Ijoc.1040.0079 |
0.626 |
|
| 2006 |
Topaloglu H. A parallelizable dynamic fleet management model with random travel times European Journal of Operational Research. 175: 782-805. DOI: 10.1016/J.Ejor.2005.06.024 |
0.486 |
|
| 2006 |
Topaloglu H, Kunnumkal S. Approximate dynamic programming methods for an inventory allocation problem under uncertainty Naval Research Logistics. 53: 822-841. DOI: 10.1002/Nav.20164 |
0.471 |
|
| 2005 |
Topaloglu H, Powell WB. A distributed decision-making structure for dynamic resource allocation using nonlinear functional approximations Operations Research. 53: 281-297. DOI: 10.1287/Opre.1040.0166 |
0.609 |
|
| 2005 |
Topaloglu H. An approximate dynamic programming approach for a product distribution problem Iie Transactions (Institute of Industrial Engineers). 37: 697-710. DOI: 10.1080/07408170590918083 |
0.46 |
|
| 2004 |
Powell W, Ruszczyński A, Topaloglu H. Learning algorithms for separable approximations of discrete stochastic optimization problems Mathematics of Operations Research. 29: 814-836. DOI: 10.1287/Moor.1040.0107 |
0.631 |
|
| 2003 |
Powell WB, Topaloglu H. Stochastic Programming in Transportation and Logistics Handbooks in Operations Research and Management Science. 10: 555-635. DOI: 10.1016/S0927-0507(03)10009-6 |
0.548 |
|
| 2003 |
Topaloglu H, Powell WB. An algorithm for approximating piecewise linear concave functions from sample gradients Operations Research Letters. 31: 66-76. DOI: 10.1016/S0167-6377(02)00187-6 |
0.572 |
|
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