Operations Research

Papers
(The TQCC of Operations Research is 9. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Editorial Board78
Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach64
Scores for Multivariate Distributions and Level Sets59
Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem56
Optimal Dynamic Momentum Strategies51
Nonrobust Strong Knapsack Cuts for Capacitated Location Routing and Related Problems49
Survey of Dynamic Resource-Constrained Reward Collection Problems: Unified Model and Analysis48
New Mixed-Integer Nonlinear Programming Formulations for the Unit Commitment Problems with Ramping Constraints47
Fast and Simple Solutions of Blotto Games47
Heavy-Traffic Universality of Redundancy Systems with Assignment Constraints46
Portfolio Selection, Periodic Evaluations and Risk Taking41
High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks41
Technical Note—On Matrix Exponential Differentiation with Application to Weighted Sum Distributions40
Optimal Cash Management with Payables Finance38
Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions37
Introduction: Special Issue Honoring Kenneth Arrow36
Dynamic Inventory Control with Fixed Setup Costs and Unknown Discrete Demand Distribution36
Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers35
Black-Box Acceleration of Monotone Convex Program Solvers35
Fast Quantum Subroutines for the Simplex Method35
Technical Note—Assortment Planning for Two-Sided Sequential Matching Markets34
Side-Constrained Dynamic Traffic Equilibria34
The Price of Fairness of Scheduling a Scarce Resource33
Comparing Sequential Forecasters33
Community-Engaged School District Design: A Stream-Based Approach32
Change-Point Detection in Dynamic Networks with Missing Links32
Efficient Learning for Clustering and Optimizing Context-Dependent Designs32
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees30
Optimal Learning Under Robustness and Time-Consistency27
Technical Note—Masking Anstreicher’s linx Bound for Improved Entropy Bounds27
Editorial Board27
Does the Prohibition of Trade-Through Hurt Liquidity Demanders?26
Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach26
Deepest Cuts for Benders Decomposition26
On the Structure of Decision Diagram–Representable Mixed-Integer Programs with Application to Unit Commitment26
Network Revenue Management Under a Spiked Multinomial Logit Choice Model26
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds26
Adversarial Patrolling in a Uniform26
Data-Driven Ranking and Selection Under Input Uncertainty26
The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems26
First-Stage Sampling in Ranking and Selection: Beyond Variance Estimation25
Estimation of High-Dimensional Contextual Pricing Models with Nonparametric Price Confounders25
A Branch-and-Repair Method for Three-Dimensional Bin Selection and Packing in E-Commerce24
Optimal Regularized Online Allocation by Adaptive Re-Solving24
Modeling the Risk in Mortality Projections24
Editorial Board24
In This Issue23
Jointly Modeling and Clustering Tensors in High Dimensions23
In This Issue23
Technical Note—The Multinomial Logit Model with Sequential Offerings: Algorithmic Frameworks for Product Recommendation Displays23
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes22
Robust Queue Inference from Waiting Times21
Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs21
Optimizing the Path Towards Plastic-Free Oceans21
A First-Order Approach to Accelerated Value Iteration21
Statistical Inference for Aggregation of Malmquist Productivity Indices21
Stochastic Knapsack Revisited: The Service Level Perspective20
Enhanced Balancing of Bias-Variance Tradeoff in Stochastic Estimation: A Minimax Perspective20
The Gatekeeper’s Dilemma: “When Should I Transfer This Customer?”20
A Planner-Trader Decomposition for Multimarket Hydro Scheduling19
Technical Note—An Approximate Dynamic Programming Approach to the Incremental Knapsack Problem19
Monetizing Positive Externalities to Mitigate the Infrastructure Underinvestment Problem19
Gradient-Based Algorithms for Convex Discrete Optimization via Simulation19
Exit Spirals in Coupled Networked Markets19
Production Planning with Risk Hedging Under a Conditional Value at Risk Objective19
Asymptotic Optimality of Semi-Open-Loop Policies in Markov Decision Processes with Large Lead Times18
Technical Note—Greedy Algorithm for Multiway Matching with Bounded Regret18
A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy18
Joint Inventory and Pricing for a One-Warehouse Multistore Problem: Spiraling Phenomena, Near Optimal Policies, and the Value of Dynamic Pricing18
Technical Note—Risk-Averse Regret Minimization in Multistage Stochastic Programs18
In This Apportionment Lottery, the House Always Wins18
On Solving a Class of Continuous Traffic Equilibrium Problems and Planning Facility Location Under Congestion18
The Analytics of Bed Shortages: Coherent Metric, Prediction, and Optimization17
Optimal Pricing and Introduction Timing of Technology Upgrades in Subscription-Based Services17
Finding Minimum Volume Circumscribing Ellipsoids Using Generalized Copositive Programming17
Optimal No-Regret Learning in Repeated First-Price Auctions17
Consistency Cuts for Dantzig-Wolfe Reformulations17
Computing Constrained Shortest-Paths at Scale17
Dynamic Pricing and Matching for Two-Sided Queues17
Editorial Board17
Revenue Management Under a Mixture of Independent Demand and Multinomial Logit Models16
Political Districting to Minimize County Splits16
Efficient Decentralized Multi-agent Learning in Asymmetric Bipartite Queueing Systems16
Preface to the Special Issue on Behavioral Queueing Science: The Need for a Multidisciplinary Approach16
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence16
Asymptotically Optimal Control of a Centralized Dynamic Matching Market with General Utilities16
Legal Assignments and Fast EADAM with Consent via Classic Theory of Stable Matchings16
To Interfere or Not To Interfere: Information Revelation and Price-Setting Incentives in a Multiagent Learning Environment16
Smoothness-Adaptive Contextual Bandits16
A Pareto Dominance Principle for Data-Driven Optimization16
Dual-Directed Algorithm Design for Efficient Pure Exploration15
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation15
Market Making and Incentives Design in the Presence of a Dark Pool: A Stackelberg Actor–Critic Approach15
E-Commerce Order Fulfillment Problem with Limited Time Window15
Technical Note: Multistage Robust Mixed-Integer Programming14
Technical Note—Data-Driven Chance Constrained Programs over Wasserstein Balls14
Optimal Investment, Heterogeneous Consumption, and Best Time for Retirement14
Learning Product Rankings Robust to Fake Users14
Minimax Optimal Estimation of Stability Under Distribution Shift14
Matching Queues with Abandonments in Quantum Switches: Stability and Throughput Analysis14
Calibration of Distributionally Robust Empirical Optimization Models14
Data Aggregation and Demand Prediction14
Hard and Soft Defense Against a Sequence of Aerial Threats14
Systemic Risk-Driven Portfolio Selection14
Pooling Agents for Customer-Intensive Services14
Binary Diversification Characterizes Exact Capacities14
Inventory Sharing for Perishable Products: Application to Platelet Inventory Management in Hospital Blood Banks13
Selection of the Most Probable Best13
Infinite-Dimensional Fisher Markets and Tractable Fair Division13
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation13
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator13
The Fragility of Optimized Bandit Algorithms13
Contextual Search in the Presence of Adversarial Corruptions13
Axiomatizing the Bayesian Paradigm in Parallel Small Worlds13
1.79-Approximation Algorithms for Continuous Review Single-Sourcing Lost-Sales and Dual-Sourcing Inventory Models13
Early Reservation for Follow-up Appointments in a Slotted-Service Queue13
Distributionally Robust Optimization Under Distorted Expectations13
Harvesting Solar Power Foments Prices in a Vicious Cycle: Breaking the Cycle with Price Mechanisms13
Optimizing the Trade-off Between Batching and Waiting: Subadditive Dispatching13
Data-Driven Minimax Optimization with Expectation Constraints12
Shortest-Job-First Scheduling in Many-Server Queues with Impatient Customers and Noisy Service-Time Estimates12
Technical Note—On Adaptivity in Nonstationary Stochastic Optimization with Bandit Feedback12
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback12
Always Valid Inference: Continuous Monitoring of A/B Tests12
Subsampling to Enhance Efficiency in Input Uncertainty Quantification12
Distributionally Robust Linear and Discrete Optimization with Marginals12
On (Random-Order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs12
The Anchor-Robust Project Scheduling Problem12
Optimal Sequential Multiclass Diagnosis12
Tight Guarantees for Static Threshold Policies in the Prophet Secretary Problem12
The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity12
Single-Product Assemble-to-Order Systems with Exogenous Lead Times12
The Value of Coordination in Multimarket Bidding of Grid Energy Storage12
“Now or Later?” When to Deploy Qualification Screening in Open-Bid Auction for Re-Sourcing12
Robust Assortment Optimization Under the Markov Chain Choice Model12
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria12
Technical Note—The Complexity of the Pricing Problem of the Set Partitioning Formulation of Vehicle Routing Problems11
The Gap Function: Evaluating Integer Programming Models over Multiple Right-Hand Sides11
Technical Note—Capacitated Assortment Optimization: Hardness and Approximation11
Ordinary and Prophet Planning Under Uncertainty in Bernoulli Congestion Games11
Dual Moments and Risk Attitudes11
Lagrangian Inference for Ranking Problems11
Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements11
New Venture Creation: A Drift-Variance Diffusion Control Model11
Persuading Risk-Conscious Agents: A Geometric Approach11
Fast Core Pricing for Rich Advertising Auctions11
A Unifying Framework for the Capacitated Vehicle Routing Problem Under Risk and Ambiguity10
Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms10
Establishing Convergence of Infinite-Server Queues with Batch Arrivals to Shot-Noise Processes10
Building a Location-Based Set of Social Media Users10
Naive Learning Through Probability Overmatching10
Market Efficient Portfolios in a Systemic Economy10
Advertising Cycling to Manage Exclusivity Loss in Fashion Styles10
A Convex Reformulation and an Outer Approximation for a Large Class of Binary Quadratic Programs10
Learning to Schedule in Multiclass Many-Server Queues with Abandonment10
Editorial Board10
Reliable Off-Policy Evaluation for Reinforcement Learning10
Single Allocation Hub Location with Heterogeneous Economies of Scale10
Technical Note—Product-Based Approximate Linear Programs for Network Revenue Management10
When Service Times Depend on Customers’ Delays: A Relationship Between Two Models of Dependence10
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail10
Load Balancing Using Sparse Communication10
Optimal Auction Design with Deferred Inspection and Reward10
Technical Note—Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates10
Scalable Reinforcement Learning for Multiagent Networked Systems10
Revenue Management of a Professional Services Firm with Quality Revelation10
Mean Field Equilibrium: Uniqueness, Existence, and Comparative Statics9
Dynamic Stochastic Matching Under Limited Time9
Regularized Aggregation of One-Off Probability Predictions9
Technical Note—The Generalized Sethi Advertising Model9
Recovering Dantzig–Wolfe Bounds by Cutting Planes9
Robustness of Proactive Intensive Care Unit Transfer Policies9
The Power of Adaptivity for Stochastic Submodular Cover9
A Token-Based Central Queue with Order-Independent Service Rates9
On the Robustness of Second-Price Auctions in Prior-Independent Mechanism Design9
Network Pricing: How to Induce Optimal Flows Under Strategic Link Operators9
M-Convexity and Its Applications in Operations9
Online Matching with Stochastic Rewards: Optimal Competitive Ratio via Path-Based Formulation9
An ADMM-Based Distributed Optimization Method for Solving Security-Constrained Alternating Current Optimal Power Flow9
Revenue Management with Heterogeneous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals9
Best of Both Worlds: Ex Ante and Ex Post Fairness in Resource Allocation9
Technical Note—Dynamic Mechanism Design with Capacity Constraint9
Timing It Right: Balancing Inpatient Congestion vs. Readmission Risk at Discharge9
Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management9
On Finite Adaptability in Two-Stage Distributionally Robust Optimization9
Quantile Markov Decision Processes9
Who Is Next: Patient Prioritization Under Emergency Department Blocking9
In This Issue9
Testing, Voluntary Social Distancing, and the Spread of an Infection9
Detecting Bots and Assessing Their Impact in Social Networks9
Exploiting Random Lead Times for Significant Inventory Cost Savings9
Misinformation and Disinformation in Modern Warfare9
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