Operations Research

Papers
(The H4-Index of Operations Research is 25. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
A Mathematical Model of Humanitarian Aid Agencies in Attritional Conflict Environments63
Adaptive Discretization in Online Reinforcement Learning58
When Service Times Depend on Customers’ Delays: A Relationship Between Two Models of Dependence52
Community-Engaged School District Design: A Stream-Based Approach43
Distributionally Robust Optimal Allocation with Costly Verification41
Change-Point Detection in Dynamic Networks with Missing Links41
Dynamic Stability of Cooperative Investment Under Uncertainty40
Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms39
Identifying Merger Opportunities: The Case of Air Traffic Control38
A Unifying Framework for the Capacitated Vehicle Routing Problem Under Risk and Ambiguity37
Delegated Concept Testing in New Product Development34
Nonrobust Strong Knapsack Cuts for Capacitated Location Routing and Related Problems34
Dynamic Inventory Control with Fixed Setup Costs and Unknown Discrete Demand Distribution33
A Nonparametric Algorithm for Optimal Stopping Based on Robust Optimization31
Optimal Cash Management with Payables Finance30
Data-Driven Optimization with Distributionally Robust Second Order Stochastic Dominance Constraints30
Technical Note—Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications29
Black-Box Acceleration of Monotone Convex Program Solvers29
Strategic Pricing in Volatile Markets28
Scores for Multivariate Distributions and Level Sets28
Technical Note—Online Matching with Bayesian Rewards27
Establishing Convergence of Infinite-Server Queues with Batch Arrivals to Shot-Noise Processes27
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback27
High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks26
In This Issue26
Editorial Board25
Editorial Board25
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