Operations Research

Papers
(The TQCC of Operations Research is 10. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial Board113
Scores for Multivariate Distributions and Level Sets96
Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers72
Black-Box Acceleration of Monotone Convex Program Solvers72
Technical Note—Assortment Planning for Two-Sided Sequential Matching Markets68
Optimal Cash Management with Payables Finance65
The Price of Fairness of Scheduling a Scarce Resource65
Portfolio Selection, Periodic Evaluations and Risk Taking61
High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks58
Change-Point Detection in Dynamic Networks with Missing Links49
Nonrobust Strong Knapsack Cuts for Capacitated Location Routing and Related Problems48
Community-Engaged School District Design: A Stream-Based Approach46
Heavy-Traffic Universality of Redundancy Systems with Assignment Constraints44
In This Issue41
Fast Quantum Subroutines for the Simplex Method40
Fast and Simple Solutions of Blotto Games40
Survey of Dynamic Resource-Constrained Reward Collection Problems: Unified Model and Analysis39
Invariant Distributions in Nonlinear Markov Chains with Aggregators: Theory, Computation, and Applications39
Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem39
Comparing Sequential Forecasters39
Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach37
Side-Constrained Dynamic Traffic Equilibria37
New Mixed-Integer Nonlinear Programming Formulations for the Unit Commitment Problems with Ramping Constraints35
Does the Prohibition of Trade-Through Hurt Liquidity Demanders?35
Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions35
Editorial Board35
Optimal Regularized Online Allocation by Adaptive Re-Solving32
On the Structure of Decision Diagram–Representable Mixed-Integer Programs with Application to Unit Commitment32
Technical Note—First-Stage Sampling in Ranking and Selection: Beyond Variance Estimation32
Estimation of High-Dimensional Contextual Pricing Models with Nonparametric Price Confounders31
Technical Note—Masking Anstreicher’s linx Bound for Improved Entropy Bounds30
Revenue Maximization and Learning in Product Ranking29
Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach29
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees28
Data-Driven Ranking and Selection Under Input Uncertainty28
Package Bids in Combinatorial Electricity Auctions: Selection, Welfare Losses, and Alternatives27
The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems27
Efficient Learning for Clustering and Optimizing Context-Dependent Designs27
Deepest Cuts for Benders Decomposition26
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds26
In This Issue25
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes25
Asymptotic Optimality of Semi-Open-Loop Policies in Markov Decision Processes with Large Lead Times25
Technical Note—Greedy Algorithm for Multiway Matching with Bounded Regret25
Dynamic Programming in Ordered Vector Space25
Gradient-Based Algorithms for Convex Discrete Optimization via Simulation25
Enhanced Balancing of Bias-Variance Tradeoff in Stochastic Estimation: A Minimax Perspective24
The Gatekeeper’s Dilemma: “When Should I Transfer This Customer?”24
Exit Spirals in Coupled Networked Markets24
Production Planning with Risk Hedging Under a Conditional Value at Risk Objective24
In This Issue23
Jointly Modeling and Clustering Tensors in High Dimensions23
Monetizing Positive Externalities to Mitigate the Infrastructure Underinvestment Problem23
Robust Queue Inference from Waiting Times22
A Planner-Trader Decomposition for Multimarket Hydro Scheduling22
Near-Optimal Pricing and Resource Allocation in a Large-Scale Service System22
Deep Learning for High-Dimensional Continuous-Time Stochastic Optimal Control Without Explicit Solution21
Technical Note—Risk-Averse Regret Minimization in Multistage Stochastic Programs21
Optimizing the Path Towards Plastic-Free Oceans21
Joint Inventory and Pricing for a One-Warehouse Multistore Problem: Spiraling Phenomena, Near Optimal Policies, and the Value of Dynamic Pricing21
In This Apportionment Lottery, the House Always Wins20
Feature-Based Dynamic Matching20
A First-Order Approach to Accelerated Value Iteration20
Dynamic Pricing and Matching for Two-Sided Queues20
A Stationary Mean-Field Equilibrium Model of Irreversible Investment in a Two-Regime Economy20
A Branch-and-Repair Method for Three-Dimensional Bin Selection and Packing in E-Commerce20
Technical Note—An Approximate Dynamic Programming Approach to the Incremental Knapsack Problem20
Statistical Inference for Aggregation of Malmquist Productivity Indices20
In This Issue19
Preface to the Special Issue on Behavioral Queueing Science: The Need for a Multidisciplinary Approach19
Binary Diversification Characterizes Exact Capacities19
Editorial Board19
Minimax Optimal Estimation of Stability Under Distribution Shift19
Online Joint Assortment-Inventory Optimization Under MNL Choices19
Hard and Soft Defense Against a Sequence of Aerial Threats19
Preservation of Multimodularity: New Results and Applications19
Matching Queues with Abandonments in Quantum Switches: Stability and Throughput Analysis18
Consistency Cuts for Dantzig-Wolfe Reformulations18
E-Commerce Order Fulfillment Problem with Limited Time Window18
Finding Minimum Volume Circumscribing Ellipsoids Using Generalized Copositive Programming18
Optimal No-Regret Learning in Repeated First-Price Auctions18
Spectral Ranking Inferences Based on General Multiway Comparisons18
Smoothness-Adaptive Contextual Bandits17
Efficient Decentralized Multi-agent Learning in Asymmetric Bipartite Queueing Systems17
Technical Note—Multistage Robust Mixed-Integer Programming17
Is Your Price Personalized? Alleviating Customer Concerns with Inventory Availability Information17
Market Making and Incentives Design in the Presence of a Dark Pool: A Stackelberg Actor–Critic Approach17
Dual-Directed Algorithm Design for Efficient Pure Exploration17
The Analytics of Bed Shortages: Coherent Metric, Prediction, and Optimization17
Optimal Pricing and Introduction Timing of Technology Upgrades in Subscription-Based Services17
Revenue Management Under a Mixture of Independent Demand and Multinomial Logit Models16
To Interfere or Not To Interfere: Information Revelation and Price-Setting Incentives in a Multiagent Learning Environment16
A Pareto Dominance Principle for Data-Driven Optimization16
Optimal Investment, Heterogeneous Consumption, and Best Time for Retirement16
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence16
Data Aggregation and Demand Prediction16
Dual Sourcing Made Easy: Distributionally Robust Optimization of Inventory Systems Under Independent Demand16
Political Districting to Minimize County Splits16
Learning Product Rankings Robust to Fake Users16
Regime-Dependent Approximations for the Single-Item Dynamic Pricing Problem16
Asymptotically Optimal Control of a Centralized Dynamic Matching Market with General Utilities16
Assortment and Price Optimization Under a Multiattribute (Contextual) Choice Model16
Optimal Feature-Based Market Segmentation and Pricing15
Selection of the Most Probable Best15
Optimizing the Trade-off Between Batching and Waiting: Subadditive Dispatching15
Pooling Agents for Customer-Intensive Services15
A Data-Driven Approach to Improve Artisans’ Productivity in Distributed Supply Chains15
Procurement for Assembly Systems Under Supply Uncertainty: Optimal Mechanisms15
Early Reservation for Follow-up Appointments in a Slotted-Service Queue15
Technical Note—Data-Driven Chance Constrained Programs over Wasserstein Balls15
Inventory Sharing for Perishable Products: Application to Platelet Inventory Management in Hospital Blood Banks15
Online Tensor Inference15
Mean-Risk Traffic Assignment Under the Continuously Distributed Risk-Aversion Factor15
The Fragility of Optimized Bandit Algorithms15
Distributionally Robust Optimization Under Distorted Expectations15
Harvesting Solar Power Foments Prices in a Vicious Cycle: Breaking the Cycle with Price Mechanisms14
Infinite-Dimensional Fisher Markets and Tractable Fair Division14
The Pandora’s Box Problem with Sequential Inspections14
Data-Driven Minimax Optimization with Expectation Constraints14
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation14
Shortest-Job-First Scheduling in Many-Server Queues with Impatient Customers and Noisy Service-Time Estimates14
Single-Product Assemble-to-Order Systems with Exogenous Lead Times14
The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity14
You Are the Best Reviewer of Your Own Papers: The Isotonic Mechanism14
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria14
Contextual Search in the Presence of Adversarial Corruptions14
The Value of Coordination in Multimarket Bidding of Grid Energy Storage14
On (Random-Order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs14
Rate-Optimal Online Learning for Dynamic Assortment Selection with Positioning14
Data-Driven Piecewise Affine Decision Rules for Stochastic Programming with Covariate Information14
A Note on Piecewise Affine Decision Rules for Robust, Stochastic, and Data-Driven Optimization13
Technical Note—The Complexity of the Pricing Problem of the Set Partitioning Formulation of Vehicle Routing Problems13
Technical Note—On Adaptivity in Nonstationary Stochastic Optimization with Bandit Feedback13
Establishing Convergence of Infinite-Server Queues with Batch Arrivals to Shot-Noise Processes13
Load Balancing Using Sparse Communication13
Persuading Risk-Conscious Agents: A Geometric Approach13
A Convex Reformulation and an Outer Approximation for a Large Class of Binary Quadratic Programs13
Process Flexibility: A Distribution-Free Approach to Long Chain Resilience13
When Service Times Depend on Customers’ Delays: A Relationship Between Two Models of Dependence13
Scalable Reinforcement Learning for Multiagent Networked Systems12
Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms12
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback12
Matching Drivers to Riders: A Two-Stage Robust Approach12
Learning to Schedule in Multiclass Many-Server Queues with Abandonment12
Platform Disintermediation: Information Effects and Pricing Remedies12
Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements12
Optimal Auction Design with Deferred Inspection and Reward12
Robust Assortment Optimization Under the Markov Chain Choice Model12
On Finite Adaptability in Two-Stage Distributionally Robust Optimization12
Ordinary and Prophet Planning Under Uncertainty in Bernoulli Congestion Games12
Lagrangian Inference for Ranking Problems12
A Unifying Framework for the Capacitated Vehicle Routing Problem Under Risk and Ambiguity12
Post Reinforcement Learning Inference12
New Venture Creation: A Drift-Variance Diffusion Control Model12
Tight Guarantees for Static Threshold Policies in the Prophet Secretary Problem12
The Anchor-Robust Project Scheduling Problem12
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail12
Naive Learning Through Probability Overmatching11
Assortment Optimization with Replacement Options for Retail Platforms with Stockout Risk11
Regularized Aggregation of One-Off Probability Predictions11
Reliable Off-Policy Evaluation for Reinforcement Learning11
Continuity, Uniqueness, and Long-Term Behavior of Nash Flows over Time11
Revenue Management with Heterogeneous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals11
Technical Note—Product-Based Approximate Linear Programs for Network Revenue Management11
Online Matching with Stochastic Rewards: Optimal Competitive Ratio via Path-Based Formulation11
An ADMM-Based Distributed Optimization Method for Solving Security-Constrained Alternating Current Optimal Power Flow11
Building a Location-Based Set of Social Media Users11
Who Is Next: Patient Prioritization Under Emergency Department Blocking11
In This Issue11
Ranking and Contextual Selection11
Revenue Management of a Professional Services Firm with Quality Revelation11
Many-Server Queueing Systems with Heterogeneous Strategic Servers in Heavy Traffic11
Advertising Cycling to Manage Exclusivity Loss in Fashion Styles11
In This Issue11
Optimality of Nonadaptive Algorithms in Online Submodular Welfare Maximization with Stochastic Outcomes11
Utility Preference Robust Optimization with Moment-Type Information Structure11
On the Robustness of Second-Price Auctions in Prior-Independent Mechanism Design10
Best of Both Worlds: Ex Ante and Ex Post Fairness in Resource Allocation10
Recovering Dantzig–Wolfe Bounds by Cutting Planes10
Adversarial Robustness for Latent Models: Revisiting the Robust-Standard Accuracies Tradeoff10
Linear Classifiers Under Infinite Imbalance10
An Approximate Analysis of Dynamic Pricing, Outsourcing, and Scheduling Policies for a Multiclass Make-to-Stock Queue in the Heavy Traffic Regime10
Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management10
Robustness of Proactive Intensive Care Unit Transfer Policies10
A Strongly Polynomial Algorithm for Linear Exchange Markets10
Technical Note—The Generalized Sethi Advertising Model10
In This Issue10
Unit Commitment Without Commitment: A Dynamic Programming Approach for Managing an Integrated Energy System Under Uncertainty10
Technical Note—Optimizing Risk-Balancing Return Under Discrete Choice Models10
Wasserstein Distributionally Robust Optimization and Variation Regularization10
Convergence and Inference of Stream Stochastic Gradient Descent, with Applications to Queueing Systems and Inventory Control10
Technical Note—Dynamic Mechanism Design with Capacity Constraint10
Testing, Voluntary Social Distancing, and the Spread of an Infection10
Technical Note—Asymptotically Optimal Control of Omnichannel Service Systems with Pick-up Guarantees10
Building Formulations for Piecewise Linear Relaxations of Nonlinear Functions10
Bayesian and Randomized Clock Auctions10
In This Issue10
The Power of Adaptivity for Stochastic Submodular Cover10
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