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 2020-11-01 to 2024-11-01.)
ArticleCitations
Technical Note—There’s No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization67
Simple Bayesian Algorithms for Best-Arm Identification50
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios50
Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba48
Robust Satisficing46
Parallel Bayesian Global Optimization of Expensive Functions41
Technical Note—Data-Driven Chance Constrained Programs over Wasserstein Balls39
Robust Data-Driven Vehicle Routing with Time Windows39
Placement Optimization in Refugee Resettlement38
Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection38
Technical Note—Capacitated Assortment Optimization: Hardness and Approximation38
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach33
Pooling Queues with Strategic Servers: The Effects of Customer Ownership31
Duopoly Competition with Network Effects in Discrete Choice Models30
Spatio-Temporal Pricing for Ridesharing Platforms29
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework29
Competitive Investment with Bayesian Learning: Choice of Business Size and Timing28
Value of Information in Bayesian Routing Games28
Imposing Contiguity Constraints in Political Districting Models27
Technical Note—Two-Stage Sample Robust Optimization27
Spatial Capacity Planning27
A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation26
Forecasting COVID-19 and Analyzing the Effect of Government Interventions26
Technical Note—Understanding the Performance of Capped Base-Stock Policies in Lost-Sales Inventory Models25
Vessel Service Planning in Seaports25
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization25
The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems25
Offline Multi-Action Policy Learning: Generalization and Optimization24
Nonparametric Pricing Analytics with Customer Covariates24
Asymptotically Optimal Lagrangian Policies for Multi-Warehouse, Multi-Store Systems with Lost Sales24
Timing It Right: Balancing Inpatient Congestion vs. Readmission Risk at Discharge24
Always Valid Inference: Continuous Monitoring of A/B Tests24
On the Optimal Design of a Bipartite Matching Queueing System23
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions22
Star-Shaped Risk Measures22
Optimal Portfolio Diversification via Independent Component Analysis21
Robust Multiperiod Vehicle Routing Under Customer Order Uncertainty21
Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach21
Disruption and Rerouting in Supply Chain Networks21
Wasserstein Distributionally Robust Optimization and Variation Regularization21
Why Is Maximum Clique Often Easy in Practice?21
Branch-Cut-and-Price for the Robust Capacitated Vehicle Routing Problem with Knapsack Uncertainty21
On the Heavy-Tail Behavior of the Distributionally Robust Newsvendor21
Knockout-Tournament Procedures for Large-Scale Ranking and Selection in Parallel Computing Environments20
Technical Note—Consumer Choice and Market Expansion: Modeling, Optimization, and Estimation20
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization20
Calibration of Distributionally Robust Empirical Optimization Models19
Matching While Learning19
Bayesian Decision Making in Groups is Hard19
Data-Driven Pricing for a New Product18
A Classifier to Decide on the Linearization of Mixed-Integer Quadratic Problems in CPLEX18
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail18
Technical Note—Static Pricing: Universal Guarantees for Reusable Resources18
Online Allocation and Pricing: Constant Regret via Bellman Inequalities18
Dynamic Server Assignment in Multiclass Queues with Shifts, with Applications to Nurse Staffing in Emergency Departments18
Multilevel Approaches for the Critical Node Problem18
Dynamic Stochastic Matching Under Limited Time18
Diffusion in Random Networks: Impact of Degree Distribution17
On a Deterministic Approximation of Inventory Systems with Sequential Service-Level Constraints17
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds17
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator16
Fair Resource Allocation in a Volatile Marketplace16
Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low16
Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments16
Nonconvex Low-Rank Tensor Completion from Noisy Data16
Technical Note—Data-Driven Newsvendor Problem: Performance of the Sample Average Approximation15
Budget-Management Strategies in Repeated Auctions15
Large-Scale Bundle-Size Pricing: A Theoretical Analysis15
Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling15
Optimizing Opinions with Stubborn Agents15
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning15
Detecting Bots and Assessing Their Impact in Social Networks15
When Risk Perception Gets in the Way: Probability Weighting and Underprevention15
Compressing Over-the-Counter Markets15
ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs15
The Value of Coordination in Multimarket Bidding of Grid Energy Storage14
Technical Note—The Multinomial Logit Model with Sequential Offerings: Algorithmic Frameworks for Product Recommendation Displays14
A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility14
Multiplicative Pacing Equilibria in Auction Markets14
Measuring Beliefs Under Ambiguity14
Personalized Retail Promotions Through a Directed Acyclic Graph–Based Representation of Customer Preferences13
M-Convexity and Its Applications in Operations13
Pricing with Samples13
Improved Revenue Bounds for Posted-Price and Second-Price Mechanisms13
Adjustable Robust Optimization Reformulations of Two-Stage Worst-Case Regret Minimization Problems13
Dark Matter in (Volatility and) Equity Option Risk Premiums13
On the Stability of Redundancy Models13
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation13
Operational Risk Management: A Stochastic Control Framework with Preventive and Corrective Controls13
Robust Power Management via Learning and Game Design13
Voxel-Based Solution Approaches to the Three-Dimensional Irregular Packing Problem12
Dynamic Learning and Market Making in Spread Betting Markets with Informed Bettors12
Robustness in the Optimization of Risk Measures12
Mallows-Smoothed Distribution over Rankings Approach for Modeling Choice12
Inverse Optimization: Theory and Applications12
Nonconvex Piecewise Linear Functions: Advanced Formulations and Simple Modeling Tools12
Systemic Risk-Driven Portfolio Selection12
Variable and Constant Returns-to-Scale Production Technologies with Component Processes12
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times12
Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach12
Risk Management for Sustainable Sovereign Debt Financing12
Optimal Price/Advertising Menus for Two-Sided Media Platforms12
Technical Note—Joint Learning and Optimization of Multi-Product Pricing with Finite Resource Capacity and Unknown Demand Parameters12
Exact Penalization of Generalized Nash Equilibrium Problems12
Distributionally Robust Linear and Discrete Optimization with Marginals11
Shortfall Risk Models When Information on Loss Function Is Incomplete11
Mixed-Integer Optimization with Constraint Learning11
Information Inundation on Platforms and Implications11
Strategic Workforce Planning Under Uncertainty11
How Service Quality Variability Hurts Revenue When Customers Learn: Implications for Dynamic Personalized Pricing11
Nonsparse Learning with Latent Variables11
Risk Arbitrage Opportunities for Stock Index Options11
Efficient Solution of Maximum-Entropy Sampling Problems11
Optimal Contract for Machine Repair and Maintenance11
Constant Regret Resolving Heuristics for Price-Based Revenue Management11
Achieving High Individual Service Levels Without Safety Stock? Optimal Rationing Policy of Pooled Resources11
On-Demand Ride-Matching in a Spatial Model with Abandonment and Cancellation11
The Shortest Path Interdiction Problem with Randomized Interdiction Strategies: Complexity and Algorithms11
Demand Shaping Through Bundling and Product Configuration: A Dynamic Multiproduct Inventory-Pricing Model11
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management11
Online Passenger Flow Control in Metro Lines10
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints10
How Endogenization of the Reference Point Affects Loss Aversion: A Study of Portfolio Selection10
1.79-Approximation Algorithms for Continuous Review Single-Sourcing Lost-Sales and Dual-Sourcing Inventory Models10
Nonadditive Multiattribute Utility Functions for Portfolio Decision Analysis10
Game of Variable Contributions to the Common Good Under Uncertainty10
Dynamic Pricing and Matching for Two-Sided Queues10
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Nonconvex Stochastic Optimization: Nonasymptotic Performance Bounds and Momentum-Based Acceleration10
Performance of the Smallest-Variance-First Rule in Appointment Sequencing10
Preservation of Supermodularity in Parametric Optimization: Necessary and Sufficient Conditions on Constraint Structures10
Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization10
Dynamic Risked Equilibrium10
The Discrete Moment Problem with Nonconvex Shape Constraints10
Pricing of Debt and Equity in a Financial Network with Comonotonic Endowments10
Soft OR and Practice: The Contribution of the Founders of Operations Research10
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality10
Pooling Agents for Customer-Intensive Services10
Selfishness Need Not Be Bad10
Inventory Integration with Rational Consumers9
Parallel Adaptive Survivor Selection9
Asymmetric Multidepot Vehicle Routing Problems: Valid Inequalities and a Branch-and-Cut Algorithm9
Stochastic Knapsack Revisited: The Service Level Perspective9
Technical Note—Bifurcating Constraints to Improve Approximation Ratios for Network Revenue Management with Reusable Resources9
Scheduling to Differentiate Service in a Multiclass Service System9
Quantile Inverse Optimization: Improving Stability in Inverse Linear Programming9
Subsampling to Enhance Efficiency in Input Uncertainty Quantification9
Time Consistency of the Mean-Risk Problem9
Data Aggregation and Demand Prediction9
Operations Research: Topics, Impact, and Trends from 1952–20199
Order Now, Pickup in 30 Minutes: Managing Queues with Static Delivery Guarantees9
Competitive Equilibrium and Trading Networks: A Network Flow Approach9
Dynamic Programs with Shared Resources and Signals: Dynamic Fluid Policies and Asymptotic Optimality9
Time-Varying Risk Aversion and Dynamic Portfolio Allocation9
Separation of Perishable Inventories in Offline Retailing Through Transshipment9
Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis9
Patient-Type Bayes-Adaptive Treatment Plans9
Partial Recovery in the Graph Alignment Problem9
Objective Selection for Cancer Treatment: An Inverse Optimization Approach8
On the Profitability of Selfish Blockchain Mining Under Consideration of Ruin8
Information and Memory in Dynamic Resource Allocation8
Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs8
Heteroscedastic Exponomial Choice8
A Convex Reformulation and an Outer Approximation for a Large Class of Binary Quadratic Programs8
Risk-Averse Stochastic Programming: Time Consistency and Optimal Stopping8
Network Inspection for Detecting Strategic Attacks8
The Constrained Reliable Shortest Path Problem in Stochastic Time-Dependent Networks8
A Token-Based Central Queue with Order-Independent Service Rates8
Efficient Learning for Clustering and Optimizing Context-Dependent Designs8
Online Resource Allocation with Personalized Learning8
Parallel Innovation Contests8
Mismanaging Diagnostic Accuracy Under Congestion8
Asymptotically Optimal Control of a Centralized Dynamic Matching Market with General Utilities8
The Inventory Routing Problem Under Uncertainty8
Regularized Aggregation of One-Off Probability Predictions8
Scalable Reinforcement Learning for Multiagent Networked Systems8
Technical Note—Bootstrap-based Budget Allocation for Nested Simulation7
Transmission Capacity Allocation in Zonal Electricity Markets7
The Gatekeeper’s Dilemma: “When Should I Transfer This Customer?”7
Optimal Learning Under Robustness and Time-Consistency7
Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition7
Online Resource Allocation Under Partially Predictable Demand7
School Choice in Chile7
A Restless Bandit Model for Resource Allocation, Competition, and Reservation7
Statistical Inference for Aggregation of Malmquist Productivity Indices7
Mean Field Equilibrium: Uniqueness, Existence, and Comparative Statics7
Design of Incentive Programs for Optimal Medication Adherence in the Presence of Observable Consumption7
The Strategic Benefit of Request for Proposal/Quotation7
Incentive-Compatible Learning of Reserve Prices for Repeated Auctions7
The Analytics of Bed Shortages: Coherent Metric, Prediction, and Optimization7
Technical Note—Assortment Planning for Two-Sided Sequential Matching Markets7
Online Matching with Stochastic Rewards: Optimal Competitive Ratio via Path-Based Formulation7
Deals or No Deals: Contract Design for Online Advertising7
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