World's Best Scientists 2026 revealed!
Huseyin Topaloglu

Huseyin Topaloglu

D-Index & Metrics

Computer Science

D-Index
39
Citations
6228
World Ranking
9786
National Ranking
4127

Overview

Huseyin Topaloglu is affiliated with Cornell University in the United States. Their research primarily falls within the field of Business, Management and Accounting, with a particular focus on several subfields including Management Information Systems, Marketing, Computer Networks and Communications, Strategy and Management, and Management Science and Operations Research.

The scientist's work covers a range of main topics such as:

  • Supply Chain and Inventory Management
  • Consumer Market Behavior and Pricing
  • Optimization and Search Problems
  • Sustainable Supply Chain Management
  • Auction Theory and Applications
  • Advanced Queuing Theory Analysis
  • Transportation and Mobility Innovations

Topaloglu's recent published papers include:

  • "Dynamic Assortment Optimization for Reusable Products with Random Usage Durations" (2020), Management Science
  • "Revenue-Utility Tradeoff in Assortment Optimization Under the Multinomial Logit Model with Totally Unimodular Constraints" (2020), Management Science
  • "Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection" (2021), Operations Research
  • "Assortment Optimization Under the Multinomial Logit Model with Sequential Offerings" (2020), INFORMS Journal on Computing
  • "Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments" (2022), Operations Research

The frequent co-authors collaborating with Topaloglu include:

  • Paat Rusmevichientong (22 collaborations)
  • Yicheng Bai (12 collaborations)
  • Omar El Housni (10 collaborations)
  • Mika Sumida (5 collaborations)
  • Jacob Feldman (4 collaborations)

Common venues for publishing their work feature journals such as:

  • SSRN Electronic Journal (13 publications)
  • Operations Research (11 publications)
  • arXiv (Cornell University) (5 publications)
  • Management Science (4 publications)
  • Manufacturing & Service Operations Management (3 publications)

Best Publications

  • Approximate Dynamic Programming for Ambulance Redeployment

    Matthew S. Maxwell;Mateo Restrepo;Shane G. Henderson;Huseyin Topaloglu

  • Assortment Optimization Under Variants of the Nested Logit Model

    James M. Davis;Guillermo Gallego;Huseyin Topaloglu

  • Dynamic-Programming Approximations for Stochastic Time-Staged Integer Multicommodity-Flow Problems

    Huseyin Topaloglu;Warren B. Powell

  • Constrained Assortment Optimization for the Nested Logit Model

    Guillermo Gallego;Huseyin Topaloglu

  • Appointment Scheduling Under Patient Preference and No-Show Behavior

    Jacob Feldman;Nan Liu;Huseyin Topaloglu;Serhan Ziya

  • The d-Level Nested Logit Model: Assortment and Price Optimization Problems

    Guang Li;Paat Rusmevichientong;Huseyin Topaloglu

  • Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters

    Paat Rusmevichientong;David Shmoys;Chaoxu Tong;Huseyin Topaloglu

  • Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model

    Paat Rusmevichientong;Huseyin Topaloglu

  • Learning Algorithms for Separable Approximations of Discrete Stochastic Optimization Problems

    Warren Powell;Andrzej Ruszczynski;Huseyin Topaloglu

  • Using Lagrangian Relaxation to Compute Capacity-Dependent Bid Prices in Network Revenue Management

    Huseyin Topaloglu

  • Assortment Planning under the Multinomial Logit Model with Totally Unimodular Constraint Structures

    James M. Davis;Guillermo Gallego;Huseyin Topaloglu

  • Stochastic Programming in Transportation and Logistics

    Warren Buckler Powell;Huseyin Topaloglu

  • Revenue Management Under the Markov Chain Choice Model

    Jacob B. Feldman;Huseyin Topaloglu

  • Revenue Management and Pricing Analytics

    Guillermo Gallego;Huseyin Topaloglu

  • Capacity Constraints Across Nests in Assortment Optimization Under the Nested Logit Model

    Jacob B. Feldman;Huseyin Topaloglu

  • A New Dynamic Programming Decomposition Method for the Network Revenue Management Problem with Customer Choice Behavior

    Sumit Kunnumkal;Huseyin Topaloglu

  • Bounding Optimal Expected Revenues for Assortment Optimization under Mixtures of Multinomial Logits

    Jacob Feldman;Huseyin Topaloglu

  • Erlang loss models for the static deployment of ambulances

    Mateo Restrepo;Shane G. Henderson;Huseyin Topaloglu

  • A refined deterministic linear program for the network revenue management problem with customer choice behavior

    Sumit Kunnumkal;Huseyin Topaloglu

  • Revenue-Utility Tradeoff in Assortment Optimization Under the Multinomial Logit Model with Totally Unimodular Constraints

    Mika Sumida;Guillermo Gallego;Paat Rusmevichientong;Huseyin Topaloglu

  • Dynamic Assortment Optimization for Reusable Products with Random Usage Durations

    Paat Rusmevichientong;Mika Sumida;Huseyin Topaloglu

  • Ambulance redeployment: an approximate dynamic programming approach

    Matthew S. Maxwell;Shane G. Henderson;Huseyin Topaloglu

Frequent Co-Authors

Guillermo Gallego
Guillermo Gallego Chinese University of Hong Kong, Shenzhen
Warren B. Powell
Warren B. Powell Princeton University
Shane G. Henderson
Shane G. Henderson Cornell University
David P. Williamson
David P. Williamson Cornell University
David B. Shmoys
David B. Shmoys Cornell University
Andrew J. Schaefer
Andrew J. Schaefer Rice University
Andrzej Ruszczyński
Andrzej Ruszczyński Rutgers, The State University of New Jersey

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a range of online degree options and promising career pathways. Many online schools that accept low gpa provide students with flexible entry points, ensuring you can start your journey even with academic hurdles.

If you're looking for a faster pathway, consider a 2-year computer science degree online. These accelerated programs help you develop core technical skills and enter the workforce sooner.

Interested in a broader impact? Career routes are not limited to software or tech industries. With a computer science background, you can expand into environmental fields. Wondering what can you do with an environmental science degree? Roles in data analysis, climate modeling, and sustainability are just a few examples.

For those drawn to engineering, an environmental engineer degree online merges computing with problem solving to address real-world challenges. This interdisciplinary approach enhances both employability and impact.

Best Scientists Citing Huseyin Topaloglu

Trending Scientists