INFOR

Papers
(The TQCC of INFOR is 2. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Vulnerability based prioritization in disaster planning efforts: benefits and trade-offs11
The promotion of new energy refrigerated vehicles: an evolutionary game over complex networks9
Preface: special issue on artificial intelligence for operations research7
Information sharing in a maritime supply chain with carrier sustainability investment5
Performance evaluation of healthcare services system in China considering unbalanced regional development: a meta-frontier approach5
Bilateral information sharing in a supply chain with manufacturer competition5
Reverse supply chain decisions with online and offline dual recycling channels considering consumer fairness concerns and channel preference5
A stochastic optimization model for designing disaster relief networks with congestion, disruption and distributional ambiguity4
A stochastic leader-follower model in competitive facility location4
Index tracking via reparameterizable subset sampling in neural networks4
Manufacturer quality information sharing under different channel power structures4
Bernard Gendron (1966–2022): Un ami et un collègue4
Multiobjective facility location model for optimizing Arctic oil spill response4
Goal programming approaches for coordinating flock collection in the poultry industry4
Measuring the dynamic efficiency of socially responsible investment funds: evidence from dynamic network DEA with diversification4
Optimal channel choices and online refund policies in a low-carbon tourism supply chain considering carbon reduction level3
Correction3
Stability analysis and enhancement of super-efficiency model based on space distance3
Collaboration between carrier companies using truck platooning: an application in the forestry industry3
The impact of online reviews on pricing strategy and coordination in a two-period two-echelon supply chain3
CO 2 emission efficiency evaluation and improvement from the perspective of non-uniqueness of equilibrium efficient frontier: evidence from China3
A reinforcement learning based dynamic room pricing model for hotel industry3
Data-driven analysis of optimal repositioning policy in bike sharing systems3
Omni-channel supply chain pricing and investment decision considering green satisfaction in a competitive and cooperative environment3
Stackelberg game model of green tourism supply chain with governmental subsidy3
Solution methods for a class of finite-horizon vector-valued Markov decision processes3
Production-and-order strategy with demand information updating and uncertain spot price2
Optimal price strategy when facing privacy-concerned customers: uniform pricing vs. personalized pricing2
Literature review on Benders cut selection and a multiple cut generation scheme2
Strict complementarity and non-degeneracy of solutions to copositive programming problems2
The recommender problem with convex hulls2
Analytical models and methods for the COVID-19 pandemic: a survey focused on progression and mitigation via non-pharmaceutical interventions2
Market segmentation using predictive technology and shared-service contracts2
Data-driven fair resource allocation for novel emerging epidemics: a COVID-19 Convalescent Plasma case study2
An exact algorithm for large knapsack sharing problems2
Closed-form (R,S) inventory policies for perishable inventory systems with supply chain disruptions2
A multi-period decision framework for mutual fund efficiency: integrating range directional DEA with machine learning for dynamic investment optimization2
Advertising strategies of one e-commerce platform and competitive sellers in a supply chain under agency mode2
On the value of shipment consolidation and machine learning techniques for the optimal design of a multimodal logistics network2
An Integrated machine learning and DEA-predefined performance outcome prediction framework with high-dimensional imbalanced data2
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