Operations Research

(The TQCC of Operations Research is 6. 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 2020-02-01 to 2024-02-01.)
Technical Note—There’s No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization52
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms48
Ambulance Emergency Response Optimization in Developing Countries42
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios40
Managing Supply in the On-Demand Economy: Flexible Workers, Full-Time Employees, or Both?39
Simple Bayesian Algorithms for Best-Arm Identification39
The Distributionally Robust Chance-Constrained Vehicle Routing Problem38
Optimization of Tree Ensembles38
Real-Time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservation, and Deterministic Service Time Requirements35
Technical Note—Data-Based Dynamic Pricing and Inventory Control with Censored Demand and Limited Price Changes34
Parallel Bayesian Global Optimization of Expensive Functions32
Data-Driven Chance Constrained Programs over Wasserstein Balls31
Robust Data-Driven Vehicle Routing with Time Windows31
Modeling and Design of Container Terminal Operations30
Robust Satisficing28
Information Disclosure and Pricing Policies for Sales of Network Goods27
Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba27
Technical Note—Constant-Order Policies for Lost-Sales Inventory Models with Random Supply Functions: Asymptotics and Heuristic25
Technical Note—Capacitated Assortment Optimization: Hardness and Approximation25
Dynamic Assortment Personalization in High Dimensions25
Production Scheduling for Strategic Open Pit Mine Planning: A Mixed-Integer Programming Approach24
Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection24
Placement Optimization in Refugee Resettlement23
Pooling Queues with Strategic Servers: The Effects of Customer Ownership23
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions23
Competitive Investment with Bayesian Learning: Choice of Business Size and Timing22
The Benders Dual Decomposition Method22
Value of Information in Bayesian Routing Games21
Duopoly Competition with Network Effects in Discrete Choice Models21
Spatio-Temporal Pricing for Ridesharing Platforms20
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework20
Becoming Strategic: Endogenous Consumer Time Preferences and Multiperiod Pricing20
Always Valid Inference: Continuous Monitoring of A/B Tests20
A Stochastic Integer Programming Approach to Air Traffic Scheduling and Operations20
Nonparametric Pricing Analytics with Customer Covariates20
Imposing Contiguity Constraints in Political Districting Models19
Spatial Capacity Planning19
Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach19
Vessel Service Planning in Seaports19
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach19
Assortment Optimization Under the Paired Combinatorial Logit Model18
Timing It Right: Balancing Inpatient Congestion vs. Readmission Risk at Discharge18
Dynamic Scheduling of Multiclass Many-Server Queues with Abandonment: The Generalized /h Rule18
Technical Note—Two-Stage Sample Robust Optimization17
Technical Note—Understanding the Performance of Capped Base-Stock Policies in Lost-Sales Inventory Models17
Wasserstein Distributionally Robust Optimization and Variation Regularization17
Why Is Maximum Clique Often Easy in Practice?17
Optimal Monitoring Schedule in Dynamic Contracts17
Matching While Learning16
Diffusion in Random Networks: Impact of Degree Distribution16
Technical Note—Static Pricing: Universal Guarantees for Reusable Resources16
Robust Contract Designs: Linear Contracts and Moral Hazard16
Multilevel Approaches for the Critical Node Problem15
An Efficient Frontier Approach to Scoring and Ranking Hospital Performance15
Dynamic Inventory and Price Controls Involving Unknown Demand on Discrete Nonperishable Items15
Technical Note—Consumer Choice and Market Expansion: Modeling, Optimization, and Estimation15
A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation15
Bayesian Decision Making in Groups is Hard14
Branch-Cut-and-Price for the Robust Capacitated Vehicle Routing Problem with Knapsack Uncertainty14
Asymptotically Optimal Lagrangian Policies for Multi-Warehouse, Multi-Store Systems with Lost Sales14
Interior-Point-Based Online Stochastic Bin Packing14
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization14
Robust Multiperiod Vehicle Routing Under Customer Order Uncertainty14
On the Heavy-Tail Behavior of the Distributionally Robust Newsvendor14
Forecasting COVID-19 and Analyzing the Effect of Government Interventions14
Optimal Portfolio Diversification via Independent Component Analysis14
On a Deterministic Approximation of Inventory Systems with Sequential Service-Level Constraints14
Nonstationary Bandits with Habituation and Recovery Dynamics14
Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling13
Knockout-Tournament Procedures for Large-Scale Ranking and Selection in Parallel Computing Environments13
Dynamic Server Assignment in Multiclass Queues with Shifts, with Applications to Nurse Staffing in Emergency Departments13
Optimal Signaling of Content Accuracy: Engagement vs. Misinformation13
Fleet Coordination in Decentralized Humanitarian Operations Funded by Earmarked Donations13
Social and Monopoly Optimization in Observable Queues13
Nonconvex Low-Rank Tensor Completion from Noisy Data13
Large-Scale Bundle-Size Pricing: A Theoretical Analysis13
The Value of Coordination in Multimarket Bidding of Grid Energy Storage12
M-Convexity and Its Applications in Operations12
Technical Note—Dynamic Pricing with Heterogeneous Patience Levels12
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator12
Dark Matter in (Volatility and) Equity Option Risk Premiums12
Online Allocation and Pricing: Constant Regret via Bellman Inequalities12
An Approximation Algorithm for Network Revenue Management Under Nonstationary Arrivals12
Data-Driven Pricing for a New Product11
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization11
Budget-Management Strategies in Repeated Auctions11
Optimal Nonlinear Pricing in Social Networks Under Asymmetric Network Information11
Measuring Beliefs Under Ambiguity11
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail11
Confidence Intervals for Data-Driven Inventory Policies with Demand Censoring11
Dynamic Stochastic Matching Under Limited Time11
Calibration of Distributionally Robust Empirical Optimization Models11
Deadlines, Offer Timing, and the Search for Alternatives11
Pricing with Samples10
Technical Note—Time Inconsistency of Optimal Policies of Distributionally Robust Inventory Models10
Technical Note—Joint Learning and Optimization of Multi-Product Pricing with Finite Resource Capacity and Unknown Demand Parameters10
On the Optimal Design of a Bipartite Matching Queueing System10
Distributionally Robust Linear and Discrete Optimization with Marginals10
The Shortest Path Interdiction Problem with Randomized Interdiction Strategies: Complexity and Algorithms10
Compressing Over-the-Counter Markets10
The Discrete Moment Problem with Nonconvex Shape Constraints10
Efficient Solution of Maximum-Entropy Sampling Problems10
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning10
Offline Multi-Action Policy Learning: Generalization and Optimization10
Allocation of Intensive Care Unit Beds in Periods of High Demand10
Risk Management for Sustainable Sovereign Debt Financing9
When Risk Perception Gets in the Way: Probability Weighting and Underprevention9
Game of Variable Contributions to the Common Good Under Uncertainty9
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times9
Robust Power Management via Learning and Game Design9
Nonsparse Learning with Latent Variables9
Quantile Inverse Optimization: Improving Stability in Inverse Linear Programming9
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation9
Adjustable Robust Optimization Reformulations of Two-Stage Worst-Case Regret Minimization Problems9
ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs9
Sustainability Planning for Healthcare Information Exchanges with Supplier Rebate Program9
Star-Shaped Risk Measures9
Systemic Risk-Driven Portfolio Selection9
Asymmetric Multidepot Vehicle Routing Problems: Valid Inequalities and a Branch-and-Cut Algorithm9
Operational Risk Management: A Stochastic Control Framework with Preventive and Corrective Controls9
Demand Shaping Through Bundling and Product Configuration: A Dynamic Multiproduct Inventory-Pricing Model9
Soft OR and Practice: The Contribution of the Founders of Operations Research8
On the Stability of Redundancy Models8
Optimizing Opinions with Stubborn Agents8
Risk Arbitrage Opportunities for Stock Index Options8
Detecting Bots and Assessing Their Impact in Social Networks8
Decision Making When Things Are Only a Matter of Time8
Fair Resource Allocation in a Volatile Marketplace8
Shortfall Risk Models When Information on Loss Function Is Incomplete8
Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization8
A Classifier to Decide on the Linearization of Mixed-Integer Quadratic Problems in CPLEX8
Competitive Equilibrium and Trading Networks: A Network Flow Approach8
Dynamic Learning and Market Making in Spread Betting Markets with Informed Bettors8
1.79-Approximation Algorithms for Continuous Review Single-Sourcing Lost-Sales and Dual-Sourcing Inventory Models8
Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low8
Optimal Contract for Machine Repair and Maintenance8
Multiplicative Pacing Equilibria in Auction Markets8
Incentive-Compatible Learning of Reserve Prices for Repeated Auctions7
Preservation of Supermodularity in Parametric Optimization: Necessary and Sufficient Conditions on Constraint Structures7
Learning in Combinatorial Optimization: What and How to Explore7
Operations Research: Topics, Impact, and Trends from 1952–20197
Order Now, Pickup in 30 Minutes: Managing Queues with Static Delivery Guarantees7
The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems7
How Service Quality Variability Hurts Revenue When Customers Learn: Implications for Dynamic Personalized Pricing7
How Endogenization of the Reference Point Affects Loss Aversion: A Study of Portfolio Selection7
A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility7
Optimal Price/Advertising Menus for Two-Sided Media Platforms7
Robustness in the Optimization of Risk Measures7
Patient-Type Bayes-Adaptive Treatment Plans7
Technical Note—Bifurcating Constraints to Improve Approximation Ratios for Network Revenue Management with Reusable Resources7
Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs7
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management7
Objective Selection for Cancer Treatment: An Inverse Optimization Approach7
The Strategic Benefit of Request for Proposal/Quotation7
Improved Revenue Bounds for Posted-Price and Second-Price Mechanisms7
Personalized Retail Promotions Through a Directed Acyclic Graph–Based Representation of Customer Preferences7
Technical Note—The Multinomial Logit Model with Sequential Offerings: Algorithmic Frameworks for Product Recommendation Displays7
Exact Penalization of Generalized Nash Equilibrium Problems7
Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach7
Strategic Workforce Planning Under Uncertainty6
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds6
Scalable Reinforcement Learning for Multiagent Networked Systems6
Nonconvex Piecewise Linear Functions: Advanced Formulations and Simple Modeling Tools6
Voxel-Based Solution Approaches to the Three-Dimensional Irregular Packing Problem6
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints6
Information and Memory in Dynamic Resource Allocation6
Time Consistency of the Mean-Risk Problem6
When is Selfish Routing Bad? The Price of Anarchy in Light and Heavy Traffic6
Intertemporal Price Discrimination with Time-Varying Valuations6
Deals or No Deals: Contract Design for Online Advertising6
Heteroscedastic Exponomial Choice6
On the Consistent Path Problem6
Procurement Mechanisms for Assortments of Differentiated Products6
Risk-Averse Stochastic Programming: Time Consistency and Optimal Stopping6
Achieving High Individual Service Levels Without Safety Stock? Optimal Rationing Policy of Pooled Resources6
Transmission Capacity Allocation in Zonal Electricity Markets6
Nonadditive Multiattribute Utility Functions for Portfolio Decision Analysis6
Bayesian Incentive-Compatible Bandit Exploration6
Stochastic Knapsack Revisited: The Service Level Perspective6
Information Inundation on Platforms and Implications6
Regularized Aggregation of One-Off Probability Predictions6
Optimal Learning Under Robustness and Time-Consistency6
Design of Incentive Programs for Optimal Medication Adherence in the Presence of Observable Consumption6
Inventory Integration with Rational Consumers6
Adaptive Matching for Expert Systems with Uncertain Task Types6
Parallel Adaptive Survivor Selection6
Selfishness Need Not Be Bad6
Variable and Constant Returns-to-Scale Production Technologies with Component Processes6
Mallows-Smoothed Distribution over Rankings Approach for Modeling Choice6