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 2020-07-01 to 2024-07-01.)
ArticleCitations
Technical Note—There’s No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization62
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms58
Ambulance Emergency Response Optimization in Developing Countries51
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios48
Simple Bayesian Algorithms for Best-Arm Identification46
Optimization of Tree Ensembles46
Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba45
Managing Supply in the On-Demand Economy: Flexible Workers, Full-Time Employees, or Both?45
Robust Satisficing41
Technical Note—Data-Based Dynamic Pricing and Inventory Control with Censored Demand and Limited Price Changes39
Parallel Bayesian Global Optimization of Expensive Functions38
Placement Optimization in Refugee Resettlement37
Technical Note—Data-Driven Chance Constrained Programs over Wasserstein Balls36
Robust Data-Driven Vehicle Routing with Time Windows36
Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection34
Technical Note—Capacitated Assortment Optimization: Hardness and Approximation34
Information Disclosure and Pricing Policies for Sales of Network Goods33
Dynamic Assortment Personalization in High Dimensions32
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach31
A Stochastic Integer Programming Approach to Air Traffic Scheduling and Operations31
Pooling Queues with Strategic Servers: The Effects of Customer Ownership29
Technical Note—Constant-Order Policies for Lost-Sales Inventory Models with Random Supply Functions: Asymptotics and Heuristic29
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework29
Competitive Investment with Bayesian Learning: Choice of Business Size and Timing27
Spatio-Temporal Pricing for Ridesharing Platforms27
Duopoly Competition with Network Effects in Discrete Choice Models27
Production Scheduling for Strategic Open Pit Mine Planning: A Mixed-Integer Programming Approach26
Spatial Capacity Planning26
Becoming Strategic: Endogenous Consumer Time Preferences and Multiperiod Pricing26
Dynamic Scheduling of Multiclass Many-Server Queues with Abandonment: The Generalized /h Rule26
Imposing Contiguity Constraints in Political Districting Models24
Nonparametric Pricing Analytics with Customer Covariates24
Technical Note—Two-Stage Sample Robust Optimization24
Value of Information in Bayesian Routing Games24
Vessel Service Planning in Seaports24
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization24
Always Valid Inference: Continuous Monitoring of A/B Tests23
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions22
A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation21
Technical Note—Understanding the Performance of Capped Base-Stock Policies in Lost-Sales Inventory Models21
Timing It Right: Balancing Inpatient Congestion vs. Readmission Risk at Discharge21
On the Optimal Design of a Bipartite Matching Queueing System21
Forecasting COVID-19 and Analyzing the Effect of Government Interventions21
Wasserstein Distributionally Robust Optimization and Variation Regularization21
Asymptotically Optimal Lagrangian Policies for Multi-Warehouse, Multi-Store Systems with Lost Sales20
Why Is Maximum Clique Often Easy in Practice?20
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization20
The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems19
Technical Note—Consumer Choice and Market Expansion: Modeling, Optimization, and Estimation19
Offline Multi-Action Policy Learning: Generalization and Optimization19
Robust Contract Designs: Linear Contracts and Moral Hazard19
Optimal Monitoring Schedule in Dynamic Contracts19
Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach19
Fleet Coordination in Decentralized Humanitarian Operations Funded by Earmarked Donations18
Calibration of Distributionally Robust Empirical Optimization Models18
On the Heavy-Tail Behavior of the Distributionally Robust Newsvendor18
Matching While Learning18
Star-Shaped Risk Measures18
Technical Note—Static Pricing: Universal Guarantees for Reusable Resources17
Robust Multiperiod Vehicle Routing Under Customer Order Uncertainty17
Interior-Point-Based Online Stochastic Bin Packing17
Multilevel Approaches for the Critical Node Problem17
Nonstationary Bandits with Habituation and Recovery Dynamics17
Optimal Portfolio Diversification via Independent Component Analysis17
Diffusion in Random Networks: Impact of Degree Distribution17
Nonconvex Low-Rank Tensor Completion from Noisy Data16
Knockout-Tournament Procedures for Large-Scale Ranking and Selection in Parallel Computing Environments16
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail16
A Classifier to Decide on the Linearization of Mixed-Integer Quadratic Problems in CPLEX16
Dynamic Stochastic Matching Under Limited Time16
Branch-Cut-and-Price for the Robust Capacitated Vehicle Routing Problem with Knapsack Uncertainty16
On a Deterministic Approximation of Inventory Systems with Sequential Service-Level Constraints16
Dynamic Server Assignment in Multiclass Queues with Shifts, with Applications to Nurse Staffing in Emergency Departments16
Dynamic Inventory and Price Controls Involving Unknown Demand on Discrete Nonperishable Items15
Budget-Management Strategies in Repeated Auctions15
Bayesian Decision Making in Groups is Hard15
Large-Scale Bundle-Size Pricing: A Theoretical Analysis15
Data-Driven Pricing for a New Product15
When Risk Perception Gets in the Way: Probability Weighting and Underprevention15
Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments14
Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low14
ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs14
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator14
Compressing Over-the-Counter Markets14
Multiplicative Pacing Equilibria in Auction Markets14
Disruption and Rerouting in Supply Chain Networks14
Online Allocation and Pricing: Constant Regret via Bellman Inequalities14
Technical Note—Data-Driven Newsvendor Problem: Performance of the Sample Average Approximation13
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation13
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning13
Dark Matter in (Volatility and) Equity Option Risk Premiums13
The Value of Coordination in Multimarket Bidding of Grid Energy Storage13
Bayesian Incentive-Compatible Bandit Exploration13
Detecting Bots and Assessing Their Impact in Social Networks13
Robust Power Management via Learning and Game Design13
Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling13
Measuring Beliefs Under Ambiguity13
Optimizing Opinions with Stubborn Agents13
M-Convexity and Its Applications in Operations13
Social and Monopoly Optimization in Observable Queues13
Systemic Risk-Driven Portfolio Selection12
Adjustable Robust Optimization Reformulations of Two-Stage Worst-Case Regret Minimization Problems12
Distributionally Robust Linear and Discrete Optimization with Marginals12
Improved Revenue Bounds for Posted-Price and Second-Price Mechanisms12
Technical Note—Joint Learning and Optimization of Multi-Product Pricing with Finite Resource Capacity and Unknown Demand Parameters12
Pricing with Samples12
Technical Note—Time Inconsistency of Optimal Policies of Distributionally Robust Inventory Models12
Technical Note—Dynamic Pricing with Heterogeneous Patience Levels12
How Service Quality Variability Hurts Revenue When Customers Learn: Implications for Dynamic Personalized Pricing11
Nonsparse Learning with Latent Variables11
Risk Management for Sustainable Sovereign Debt Financing11
On the Stability of Redundancy Models11
Optimal Price/Advertising Menus for Two-Sided Media Platforms11
Technical Note—The Multinomial Logit Model with Sequential Offerings: Algorithmic Frameworks for Product Recommendation Displays11
Optimal Contract for Machine Repair and Maintenance11
How Endogenization of the Reference Point Affects Loss Aversion: A Study of Portfolio Selection11
A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility11
Dynamic Learning and Market Making in Spread Betting Markets with Informed Bettors11
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times11
The Shortest Path Interdiction Problem with Randomized Interdiction Strategies: Complexity and Algorithms11
Voxel-Based Solution Approaches to the Three-Dimensional Irregular Packing Problem11
Fair Resource Allocation in a Volatile Marketplace11
Achieving High Individual Service Levels Without Safety Stock? Optimal Rationing Policy of Pooled Resources11
Efficient Solution of Maximum-Entropy Sampling Problems11
Operational Risk Management: A Stochastic Control Framework with Preventive and Corrective Controls11
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds11
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Nonconvex Stochastic Optimization: Nonasymptotic Performance Bounds and Momentum-Based Acceleration10
Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization10
Stochastic Knapsack Revisited: The Service Level Perspective10
Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach10
Preservation of Supermodularity in Parametric Optimization: Necessary and Sufficient Conditions on Constraint Structures10
Robustness in the Optimization of Risk Measures10
Mallows-Smoothed Distribution over Rankings Approach for Modeling Choice10
The Discrete Moment Problem with Nonconvex Shape Constraints10
Risk Arbitrage Opportunities for Stock Index Options10
Game of Variable Contributions to the Common Good Under Uncertainty10
Exact Penalization of Generalized Nash Equilibrium Problems10
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management10
Order Now, Pickup in 30 Minutes: Managing Queues with Static Delivery Guarantees9
Subsampling to Enhance Efficiency in Input Uncertainty Quantification9
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints9
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality9
Data Aggregation and Demand Prediction9
Variable and Constant Returns-to-Scale Production Technologies with Component Processes9
Dynamic Pricing and Matching for Two-Sided Queues9
Strategic Workforce Planning Under Uncertainty9
Constant Regret Resolving Heuristics for Price-Based Revenue Management9
Quantile Inverse Optimization: Improving Stability in Inverse Linear Programming9
Soft OR and Practice: The Contribution of the Founders of Operations Research9
Shortfall Risk Models When Information on Loss Function Is Incomplete9
Personalized Retail Promotions Through a Directed Acyclic Graph–Based Representation of Customer Preferences9
Nonadditive Multiattribute Utility Functions for Portfolio Decision Analysis9
Demand Shaping Through Bundling and Product Configuration: A Dynamic Multiproduct Inventory-Pricing Model9
Information Inundation on Platforms and Implications9
Competitive Equilibrium and Trading Networks: A Network Flow Approach9
Inventory Integration with Rational Consumers9
Separation of Perishable Inventories in Offline Retailing Through Transshipment9
Adaptive Matching for Expert Systems with Uncertain Task Types9
Asymmetric Multidepot Vehicle Routing Problems: Valid Inequalities and a Branch-and-Cut Algorithm9
Operations Research: Topics, Impact, and Trends from 1952–20199
Technical Note—Bifurcating Constraints to Improve Approximation Ratios for Network Revenue Management with Reusable Resources9
Time Consistency of the Mean-Risk Problem8
Parallel Adaptive Survivor Selection8
Selfishness Need Not Be Bad8
Regularized Aggregation of One-Off Probability Predictions8
Nonconvex Piecewise Linear Functions: Advanced Formulations and Simple Modeling Tools8
Information and Memory in Dynamic Resource Allocation8
Asymptotically Optimal Control of a Centralized Dynamic Matching Market with General Utilities8
Patient-Type Bayes-Adaptive Treatment Plans8
Decision Making When Things Are Only a Matter of Time8
Performance of the Smallest-Variance-First Rule in Appointment Sequencing8
1.79-Approximation Algorithms for Continuous Review Single-Sourcing Lost-Sales and Dual-Sourcing Inventory Models8
Learning in Combinatorial Optimization: What and How to Explore8
Online Passenger Flow Control in Metro Lines8
Scheduling to Differentiate Service in a Multiclass Service System8
On the Profitability of Selfish Blockchain Mining Under Consideration of Ruin8
Network Inspection for Detecting Strategic Attacks7
Incentive-Compatible Learning of Reserve Prices for Repeated Auctions7
The Analytics of Bed Shortages: Coherent Metric, Prediction, and Optimization7
The Inventory Routing Problem Under Uncertainty7
Mean Field Equilibrium: Uniqueness, Existence, and Comparative Statics7
Design of Incentive Programs for Optimal Medication Adherence in the Presence of Observable Consumption7
Online Resource Allocation Under Partially Predictable Demand7
Objective Selection for Cancer Treatment: An Inverse Optimization Approach7
Pooling Agents for Customer-Intensive Services7
Transmission Capacity Allocation in Zonal Electricity Markets7
Dynamic Risked Equilibrium7
Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs7
Heteroscedastic Exponomial Choice7
Technical Note—Assortment Planning for Two-Sided Sequential Matching Markets7
Dynamic Programs with Shared Resources and Signals: Dynamic Fluid Policies and Asymptotic Optimality7
Time-Varying Risk Aversion and Dynamic Portfolio Allocation7
Parallel Innovation Contests7
School Choice in Chile7
The Strategic Benefit of Request for Proposal/Quotation7
Statistical Inference for Aggregation of Malmquist Productivity Indices7
Optimal Learning Under Robustness and Time-Consistency7
Deals or No Deals: Contract Design for Online Advertising7
Risk-Averse Stochastic Programming: Time Consistency and Optimal Stopping7
Pricing of Debt and Equity in a Financial Network with Comonotonic Endowments7
0.086477994918823