Operations Research

Papers
(The TQCC of Operations Research is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Technical Note—There’s No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization59
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms55
Ambulance Emergency Response Optimization in Developing Countries48
Simple Bayesian Algorithms for Best-Arm Identification47
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios46
Optimization of Tree Ensembles44
Managing Supply in the On-Demand Economy: Flexible Workers, Full-Time Employees, or Both?43
The Distributionally Robust Chance-Constrained Vehicle Routing Problem42
Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba40
Robust Satisficing39
Technical Note—Data-Based Dynamic Pricing and Inventory Control with Censored Demand and Limited Price Changes38
Parallel Bayesian Global Optimization of Expensive Functions37
Real-Time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservation, and Deterministic Service Time Requirements37
Robust Data-Driven Vehicle Routing with Time Windows35
Modeling and Design of Container Terminal Operations35
Placement Optimization in Refugee Resettlement35
Technical Note—Data-Driven Chance Constrained Programs over Wasserstein Balls33
Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection31
Dynamic Assortment Personalization in High Dimensions30
Information Disclosure and Pricing Policies for Sales of Network Goods29
Technical Note—Capacitated Assortment Optimization: Hardness and Approximation29
Technical Note—Constant-Order Policies for Lost-Sales Inventory Models with Random Supply Functions: Asymptotics and Heuristic29
Pooling Queues with Strategic Servers: The Effects of Customer Ownership28
The Benders Dual Decomposition Method26
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach26
Production Scheduling for Strategic Open Pit Mine Planning: A Mixed-Integer Programming Approach26
A Stochastic Integer Programming Approach to Air Traffic Scheduling and Operations25
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework25
Competitive Investment with Bayesian Learning: Choice of Business Size and Timing25
Spatio-Temporal Pricing for Ridesharing Platforms25
Technical Note—Two-Stage Sample Robust Optimization24
Value of Information in Bayesian Routing Games24
Imposing Contiguity Constraints in Political Districting Models23
Duopoly Competition with Network Effects in Discrete Choice Models23
Spatial Capacity Planning23
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions22
Always Valid Inference: Continuous Monitoring of A/B Tests22
Vessel Service Planning in Seaports22
Becoming Strategic: Endogenous Consumer Time Preferences and Multiperiod Pricing22
Dynamic Scheduling of Multiclass Many-Server Queues with Abandonment: The Generalized /h Rule22
Nonparametric Pricing Analytics with Customer Covariates22
Wasserstein Distributionally Robust Optimization and Variation Regularization21
Technical Note—Understanding the Performance of Capped Base-Stock Policies in Lost-Sales Inventory Models21
Assortment Optimization Under the Paired Combinatorial Logit Model20
Timing It Right: Balancing Inpatient Congestion vs. Readmission Risk at Discharge20
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization19
Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach19
Forecasting COVID-19 and Analyzing the Effect of Government Interventions19
Optimal Monitoring Schedule in Dynamic Contracts18
Robust Contract Designs: Linear Contracts and Moral Hazard18
Matching While Learning18
Asymptotically Optimal Lagrangian Policies for Multi-Warehouse, Multi-Store Systems with Lost Sales18
Why Is Maximum Clique Often Easy in Practice?18
A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation18
Technical Note—Consumer Choice and Market Expansion: Modeling, Optimization, and Estimation18
Nonstationary Bandits with Habituation and Recovery Dynamics17
Diffusion in Random Networks: Impact of Degree Distribution17
Multilevel Approaches for the Critical Node Problem16
An Efficient Frontier Approach to Scoring and Ranking Hospital Performance16
Optimal Portfolio Diversification via Independent Component Analysis16
On the Heavy-Tail Behavior of the Distributionally Robust Newsvendor16
Interior-Point-Based Online Stochastic Bin Packing16
Fleet Coordination in Decentralized Humanitarian Operations Funded by Earmarked Donations16
Dynamic Inventory and Price Controls Involving Unknown Demand on Discrete Nonperishable Items15
On a Deterministic Approximation of Inventory Systems with Sequential Service-Level Constraints15
The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems15
Bayesian Decision Making in Groups is Hard15
Knockout-Tournament Procedures for Large-Scale Ranking and Selection in Parallel Computing Environments15
On the Optimal Design of a Bipartite Matching Queueing System15
Technical Note—Static Pricing: Universal Guarantees for Reusable Resources15
Nonconvex Low-Rank Tensor Completion from Noisy Data15
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization15
Disruption and Rerouting in Supply Chain Networks14
Robust Multiperiod Vehicle Routing Under Customer Order Uncertainty14
Dynamic Server Assignment in Multiclass Queues with Shifts, with Applications to Nurse Staffing in Emergency Departments14
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator14
Branch-Cut-and-Price for the Robust Capacitated Vehicle Routing Problem with Knapsack Uncertainty14
Star-Shaped Risk Measures14
Calibration of Distributionally Robust Empirical Optimization Models14
Large-Scale Bundle-Size Pricing: A Theoretical Analysis14
The Value of Coordination in Multimarket Bidding of Grid Energy Storage13
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning13
Social and Monopoly Optimization in Observable Queues13
An Approximation Algorithm for Network Revenue Management Under Nonstationary Arrivals13
When Risk Perception Gets in the Way: Probability Weighting and Underprevention13
Dynamic Stochastic Matching Under Limited Time13
Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling13
Dark Matter in (Volatility and) Equity Option Risk Premiums13
Data-Driven Pricing for a New Product13
Online Allocation and Pricing: Constant Regret via Bellman Inequalities13
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail13
Technical Note—Time Inconsistency of Optimal Policies of Distributionally Robust Inventory Models12
Compressing Over-the-Counter Markets12
Detecting Bots and Assessing Their Impact in Social Networks12
Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low12
Budget-Management Strategies in Repeated Auctions12
M-Convexity and Its Applications in Operations12
Measuring Beliefs Under Ambiguity12
Technical Note—Joint Learning and Optimization of Multi-Product Pricing with Finite Resource Capacity and Unknown Demand Parameters12
Offline Multi-Action Policy Learning: Generalization and Optimization12
ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs11
Deadlines, Offer Timing, and the Search for Alternatives11
Distributionally Robust Linear and Discrete Optimization with Marginals11
Fair Resource Allocation in a Volatile Marketplace11
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation11
A Classifier to Decide on the Linearization of Mixed-Integer Quadratic Problems in CPLEX11
Technical Note—Dynamic Pricing with Heterogeneous Patience Levels11
How Service Quality Variability Hurts Revenue When Customers Learn: Implications for Dynamic Personalized Pricing11
Pricing with Samples11
Systemic Risk-Driven Portfolio Selection11
Optimizing Opinions with Stubborn Agents11
Optimal Nonlinear Pricing in Social Networks Under Asymmetric Network Information11
Robust Power Management via Learning and Game Design11
Risk Management for Sustainable Sovereign Debt Financing11
Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments11
Bayesian Incentive-Compatible Bandit Exploration11
Adjustable Robust Optimization Reformulations of Two-Stage Worst-Case Regret Minimization Problems11
Preservation of Supermodularity in Parametric Optimization: Necessary and Sufficient Conditions on Constraint Structures10
Game of Variable Contributions to the Common Good Under Uncertainty10
Operational Risk Management: A Stochastic Control Framework with Preventive and Corrective Controls10
Optimal Contract for Machine Repair and Maintenance10
The Discrete Moment Problem with Nonconvex Shape Constraints10
On the Stability of Redundancy Models10
Risk Arbitrage Opportunities for Stock Index Options10
Technical Note—The Multinomial Logit Model with Sequential Offerings: Algorithmic Frameworks for Product Recommendation Displays10
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds10
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management10
Robustness in the Optimization of Risk Measures10
Efficient Solution of Maximum-Entropy Sampling Problems10
The Shortest Path Interdiction Problem with Randomized Interdiction Strategies: Complexity and Algorithms10
Voxel-Based Solution Approaches to the Three-Dimensional Irregular Packing Problem10
Demand Shaping Through Bundling and Product Configuration: A Dynamic Multiproduct Inventory-Pricing Model9
Competitive Equilibrium and Trading Networks: A Network Flow Approach9
Soft OR and Practice: The Contribution of the Founders of Operations Research9
Quantile Inverse Optimization: Improving Stability in Inverse Linear Programming9
A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility9
Nonadditive Multiattribute Utility Functions for Portfolio Decision Analysis9
Optimal Price/Advertising Menus for Two-Sided Media Platforms9
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times9
Exact Penalization of Generalized Nash Equilibrium Problems9
Sustainability Planning for Healthcare Information Exchanges with Supplier Rebate Program9
How Endogenization of the Reference Point Affects Loss Aversion: A Study of Portfolio Selection9
Subsampling to Enhance Efficiency in Input Uncertainty Quantification9
Nonsparse Learning with Latent Variables9
Dynamic Learning and Market Making in Spread Betting Markets with Informed Bettors9
Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization9
Personalized Retail Promotions Through a Directed Acyclic Graph–Based Representation of Customer Preferences9
Operations Research: Topics, Impact, and Trends from 1952–20199
Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach9
Multiplicative Pacing Equilibria in Auction Markets9
Technical Note—Data-Driven Newsvendor Problem: Performance of the Sample Average Approximation9
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Nonconvex Stochastic Optimization: Nonasymptotic Performance Bounds and Momentum-Based Acceleration9
Shortfall Risk Models When Information on Loss Function Is Incomplete9
Achieving High Individual Service Levels Without Safety Stock? Optimal Rationing Policy of Pooled Resources9
Asymmetric Multidepot Vehicle Routing Problems: Valid Inequalities and a Branch-and-Cut Algorithm9
Mallows-Smoothed Distribution over Rankings Approach for Modeling Choice9
Nonconvex Piecewise Linear Functions: Advanced Formulations and Simple Modeling Tools8
Learning in Combinatorial Optimization: What and How to Explore8
Dynamic Pricing and Matching for Two-Sided Queues8
Strategic Workforce Planning Under Uncertainty8
Scheduling to Differentiate Service in a Multiclass Service System8
Inventory Integration with Rational Consumers8
Adaptive Matching for Expert Systems with Uncertain Task Types8
Improved Revenue Bounds for Posted-Price and Second-Price Mechanisms8
Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs8
Order Now, Pickup in 30 Minutes: Managing Queues with Static Delivery Guarantees8
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints8
1.79-Approximation Algorithms for Continuous Review Single-Sourcing Lost-Sales and Dual-Sourcing Inventory Models8
Stochastic Knapsack Revisited: The Service Level Perspective8
Technical Note—Bifurcating Constraints to Improve Approximation Ratios for Network Revenue Management with Reusable Resources8
Decision Making When Things Are Only a Matter of Time8
Selfishness Need Not Be Bad7
Patient-Type Bayes-Adaptive Treatment Plans7
On the Profitability of Selfish Blockchain Mining Under Consideration of Ruin7
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality7
Incentive-Compatible Learning of Reserve Prices for Repeated Auctions7
Information Inundation on Platforms and Implications7
The Analytics of Bed Shortages: Coherent Metric, Prediction, and Optimization7
The Inventory Routing Problem Under Uncertainty7
Online Passenger Flow Control in Metro Lines7
Objective Selection for Cancer Treatment: An Inverse Optimization Approach7
The Strategic Benefit of Request for Proposal/Quotation7
Regularized Aggregation of One-Off Probability Predictions7
Transmission Capacity Allocation in Zonal Electricity Markets7
Constant Regret Resolving Heuristics for Price-Based Revenue Management7
Variable and Constant Returns-to-Scale Production Technologies with Component Processes7
Dynamic Risked Equilibrium7
Separation of Perishable Inventories in Offline Retailing Through Transshipment7
Parallel Adaptive Survivor Selection7
Heteroscedastic Exponomial Choice7
Information and Memory in Dynamic Resource Allocation7
Design of Incentive Programs for Optimal Medication Adherence in the Presence of Observable Consumption7
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