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 2021-05-01 to 2025-05-01.)
ArticleCitations
Technical Note—On Matrix Exponential Differentiation with Application to Weighted Sum Distributions66
Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem59
Editorial Board54
High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks51
Introduction: Special Issue Honoring Kenneth Arrow45
In This Issue42
The Price of Fairness of Scheduling a Scarce Resource41
Change-Point Detection in Dynamic Networks with Missing Links41
Side-Constrained Dynamic Traffic Equilibria41
Optimal Dynamic Momentum Strategies39
Community-Engaged School District Design: A Stream-Based Approach38
New Mixed-Integer Nonlinear Programming Formulations for the Unit Commitment Problems with Ramping Constraints35
Comparing Sequential Forecasters34
Heavy-Traffic Universality of Redundancy Systems with Assignment Constraints34
Fast Quantum Subroutines for the Simplex Method34
Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers33
Black-Box Acceleration of Monotone Convex Program Solvers33
Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions32
Scores for Multivariate Distributions and Level Sets32
Nonrobust Strong Knapsack Cuts for Capacitated Location Routing and Related Problems32
Technical Note—Assortment Planning for Two-Sided Sequential Matching Markets31
Dynamic Inventory Control with Fixed Setup Costs and Unknown Discrete Demand Distribution30
Survey of Dynamic Resource-Constrained Reward Collection Problems: Unified Model and Analysis30
Fast and Simple Solutions of Blotto Games29
Procurement Mechanisms for Assortments of Differentiated Products28
Portfolio Selection, Periodic Evaluations and Risk Taking28
How Service Quality Variability Hurts Revenue When Customers Learn: Implications for Dynamic Personalized Pricing28
Optimal Cash Management with Payables Finance27
Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach26
Sample Out-of-Sample Inference Based on Wasserstein Distance26
Does the Prohibition of Trade-Through Hurt Liquidity Demanders?25
Adversarial Patrolling in a Uniform25
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees25
Optimal Learning Under Robustness and Time-Consistency24
Optimal Regularized Online Allocation by Adaptive Re-Solving23
Network Revenue Management Under a Spiked Multinomial Logit Choice Model23
Online Allocation and Pricing: Constant Regret via Bellman Inequalities23
Editorial Board23
Technical Note—Consumer Choice and Market Expansion: Modeling, Optimization, and Estimation23
The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems23
Data-Driven Ranking and Selection Under Input Uncertainty23
Heteroscedastic Exponomial Choice23
First-Stage Sampling in Ranking and Selection: Beyond Variance Estimation23
Deepest Cuts for Benders Decomposition22
Technical Note—Masking Anstreicher’s linx Bound for Improved Entropy Bounds22
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds22
On the Structure of Decision Diagram–Representable Mixed-Integer Programs with Application to Unit Commitment22
Efficient Learning for Clustering and Optimizing Context-Dependent Designs22
Enhanced Balancing of Bias-Variance Tradeoff in Stochastic Estimation: A Minimax Perspective21
Editorial Board21
Exit Spirals in Coupled Networked Markets21
Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach21
Gradient-Based Algorithms for Convex Discrete Optimization via Simulation20
Optimal Control of Partially Observable Semi-Markovian Failing Systems: An Analysis Using a Phase Methodology20
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes19
A Branch-and-Repair Method for Three-Dimensional Bin Selection and Packing in E-Commerce18
Technical Note—An Approximate Dynamic Programming Approach to the Incremental Knapsack Problem18
Production Planning with Risk Hedging Under a Conditional Value at Risk Objective18
Technical Note—Dynamic Data-Driven Estimation of Nonparametric Choice Models18
Technical Note—Greedy Algorithm for Multiway Matching with Bounded Regret18
Technical Note—Risk-Averse Regret Minimization in Multistage Stochastic Programs18
A First-Order Approach to Accelerated Value Iteration18
Robust Queue Inference from Waiting Times18
On Solving a Class of Continuous Traffic Equilibrium Problems and Planning Facility Location Under Congestion18
Dynamic Pricing and Matching for Two-Sided Queues18
Technical Note—The Multinomial Logit Model with Sequential Offerings: Algorithmic Frameworks for Product Recommendation Displays18
A Planner-Trader Decomposition for Multimarket Hydro Scheduling17
In This Issue17
Stochastic Knapsack Revisited: The Service Level Perspective17
Statistical Inference for Aggregation of Malmquist Productivity Indices17
Asymptotic Optimality of Semi-Open-Loop Policies in Markov Decision Processes with Large Lead Times17
Optimizing the Path Towards Plastic-Free Oceans17
The Gatekeeper’s Dilemma: “When Should I Transfer This Customer?”17
In This Issue17
In This Apportionment Lottery, the House Always Wins16
Jointly Modeling and Clustering Tensors in High Dimensions16
Modeling the Risk in Mortality Projections16
Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs16
Monetizing Positive Externalities to Mitigate the Infrastructure Underinvestment Problem16
Joint Inventory and Pricing for a One-Warehouse Multistore Problem: Spiraling Phenomena, Near Optimal Policies, and the Value of Dynamic Pricing16
On a Deterministic Approximation of Inventory Systems with Sequential Service-Level Constraints16
To Interfere or Not To Interfere: Information Revelation and Price-Setting Incentives in a Multiagent Learning Environment15
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence15
Consistency Cuts for Dantzig-Wolfe Reformulations15
Market Making and Incentives Design in the Presence of a Dark Pool: A Stackelberg Actor–Critic Approach15
Preface to the Special Issue on Behavioral Queueing Science: The Need for a Multidisciplinary Approach15
Hard and Soft Defense Against a Sequence of Aerial Threats15
Legal Assignments and Fast EADAM with Consent via Classic Theory of Stable Matchings15
Computing Constrained Shortest-Paths at Scale15
Efficient Decentralized Multi-agent Learning in Asymmetric Bipartite Queueing Systems15
Binary Diversification Characterizes Exact Capacities15
Smoothness-Adaptive Contextual Bandits15
Political Districting to Minimize County Splits14
Finding Minimum Volume Circumscribing Ellipsoids Using Generalized Copositive Programming14
Optimal Pricing and Introduction Timing of Technology Upgrades in Subscription-Based Services14
Matching Queues with Abandonments in Quantum Switches: Stability and Throughput Analysis14
Editorial Board14
Technical Note: Multistage Robust Mixed-Integer Programming14
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation13
Optimal No-Regret Learning in Repeated First-Price Auctions13
Optimal Investment, Heterogeneous Consumption, and Best Time for Retirement13
Revenue Management Under a Mixture of Independent Demand and Multinomial Logit Models13
Asymptotically Optimal Control of a Centralized Dynamic Matching Market with General Utilities13
A Pareto Dominance Principle for Data-Driven Optimization13
Optimizing the Trade-off Between Batching and Waiting: Subadditive Dispatching13
The Analytics of Bed Shortages: Coherent Metric, Prediction, and Optimization13
Minimax Optimal Estimation of Stability Under Distribution Shift13
Data Aggregation and Demand Prediction13
Learning Product Rankings Robust to Fake Users13
Transmission Capacity Allocation in Zonal Electricity Markets12
The Fragility of Optimized Bandit Algorithms12
Inventory Sharing for Perishable Products: Application to Platelet Inventory Management in Hospital Blood Banks12
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator12
Systemic Risk-Driven Portfolio Selection12
Pooling Agents for Customer-Intensive Services12
1.79-Approximation Algorithms for Continuous Review Single-Sourcing Lost-Sales and Dual-Sourcing Inventory Models12
Distributionally Robust Optimization Under Distorted Expectations12
Early Reservation for Follow-up Appointments in a Slotted-Service Queue12
Selection of the Most Probable Best12
Calibration of Distributionally Robust Empirical Optimization Models12
Time Consistency of the Mean-Risk Problem12
Technical Note—Data-Driven Chance Constrained Programs over Wasserstein Balls12
Inventory Integration with Rational Consumers11
Contextual Search in the Presence of Adversarial Corruptions11
On (Random-Order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs11
Distributionally Robust Linear and Discrete Optimization with Marginals11
Data-Driven Minimax Optimization with Expectation Constraints11
Subsampling to Enhance Efficiency in Input Uncertainty Quantification11
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria11
The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity11
Infinite-Dimensional Fisher Markets and Tractable Fair Division11
Shortest-Job-First Scheduling in Many-Server Queues with Impatient Customers and Noisy Service-Time Estimates11
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation11
Axiomatizing the Bayesian Paradigm in Parallel Small Worlds11
Harvesting Solar Power Foments Prices in a Vicious Cycle: Breaking the Cycle with Price Mechanisms11
The Anchor-Robust Project Scheduling Problem10
A Unifying Framework for the Capacitated Vehicle Routing Problem Under Risk and Ambiguity10
When Service Times Depend on Customers’ Delays: A Relationship Between Two Models of Dependence10
Single-Product Assemble-to-Order Systems with Exogenous Lead Times10
New Venture Creation: A Drift-Variance Diffusion Control Model10
Ordinary and Prophet Planning Under Uncertainty in Bernoulli Congestion Games10
The Value of Coordination in Multimarket Bidding of Grid Energy Storage10
Robust Assortment Optimization Under the Markov Chain Choice Model10
Technical Note—On Adaptivity in Nonstationary Stochastic Optimization with Bandit Feedback10
Establishing Convergence of Infinite-Server Queues with Batch Arrivals to Shot-Noise Processes9
Persuading Risk-Conscious Agents: A Geometric Approach9
Dual Moments and Risk Attitudes9
Technical Note—The Complexity of the Pricing Problem of the Set Partitioning Formulation of Vehicle Routing Problems9
Optimal Sequential Multiclass Diagnosis9
Optimal Auction Design with Deferred Inspection and Reward9
Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms9
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback9
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail9
Always Valid Inference: Continuous Monitoring of A/B Tests9
Technical Note—Capacitated Assortment Optimization: Hardness and Approximation9
“Now or Later?” When to Deploy Qualification Screening in Open-Bid Auction for Re-Sourcing9
Fast Core Pricing for Rich Advertising Auctions9
Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements9
Nonparametric Pricing Analytics with Customer Covariates9
Learning to Schedule in Multiclass Many-Server Queues with Abandonment9
Lagrangian Inference for Ranking Problems9
Tight Guarantees for Static Threshold Policies in the Prophet Secretary Problem9
Reliable Off-Policy Evaluation for Reinforcement Learning9
A Convex Reformulation and an Outer Approximation for a Large Class of Binary Quadratic Programs9
The Gap Function: Evaluating Integer Programming Models over Multiple Right-Hand Sides9
Scalable Reinforcement Learning for Multiagent Networked Systems9
Regularized Aggregation of One-Off Probability Predictions8
Single Allocation Hub Location with Heterogeneous Economies of Scale8
Revenue Management of a Professional Services Firm with Quality Revelation8
Detecting Bots and Assessing Their Impact in Social Networks8
Online Matching with Stochastic Rewards: Optimal Competitive Ratio via Path-Based Formulation8
Quantile Markov Decision Processes8
An ADMM-Based Distributed Optimization Method for Solving Security-Constrained Alternating Current Optimal Power Flow8
Building a Location-Based Set of Social Media Users8
Technical Note—Product-Based Approximate Linear Programs for Network Revenue Management8
Optimal Contract for Machine Repair and Maintenance8
On Finite Adaptability in Two-Stage Distributionally Robust Optimization8
Dynamic Stochastic Matching Under Limited Time8
Mean Field Equilibrium: Uniqueness, Existence, and Comparative Statics8
Naive Learning Through Probability Overmatching8
Network Pricing: How to Induce Optimal Flows Under Strategic Link Operators8
Editorial Board8
Advertising Cycling to Manage Exclusivity Loss in Fashion Styles8
Technical Note—Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates8
Market Efficient Portfolios in a Systemic Economy8
M-Convexity and Its Applications in Operations8
Who Is Next: Patient Prioritization Under Emergency Department Blocking7
Technical Note—The Generalized Sethi Advertising Model7
Ranking and Contextual Selection7
Recovering Dantzig–Wolfe Bounds by Cutting Planes7
Integrated Ad Delivery Planning for Targeted Display Advertising7
On the Robustness of Second-Price Auctions in Prior-Independent Mechanism Design7
The Power of Adaptivity for Stochastic Submodular Cover7
A Strongly Polynomial Algorithm for Linear Exchange Markets7
Unit Commitment Without Commitment: A Dynamic Programming Approach for Managing an Integrated Energy System Under Uncertainty7
Misinformation and Disinformation in Modern Warfare7
Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management7
Wasserstein Distributionally Robust Optimization and Variation Regularization7
Technical Note—Dynamic Mechanism Design with Capacity Constraint7
A Token-Based Central Queue with Order-Independent Service Rates7
In This Issue7
Technical Note—Asymptotically Optimal Control of Omnichannel Service Systems with Pick-up Guarantees7
An Approximate Analysis of Dynamic Pricing, Outsourcing, and Scheduling Policies for a Multiclass Make-to-Stock Queue in the Heavy Traffic Regime7
Revenue Management with Heterogeneous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals7
Utility Preference Robust Optimization with Moment-Type Information Structure7
Exploiting Random Lead Times for Significant Inventory Cost Savings7
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