Informs Journal on Applied Analytics

Papers
(The TQCC of Informs Journal on Applied Analytics is 3. 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 Board38
Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital24
Planning Courses for Student Success at the American College of Greece18
Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic17
Analytic Framework to Improve Access for a State Medicaid Agency16
Optimization of Continuous Steel Annealing Operations Using Model Predictive Control at Tata Steel, India16
Financing Strategy on Accounts Receivable Supply Chain via Blockchain Technology14
Advanced Analytics Drives Reengineering of Field Operations for the 2020 U.S. Census14
The Sort-Assemble-Blend Routing Problem and Its Application to Semiconductors14
Editorial Board14
Enhancing the Reach of Socially Missioned Nonprofits: Insights from a TOC-LP Application11
Optimizing Walmart’s Supply Chain from Strategy to Execution11
Saving Millions in Government Procurement Through Data Science and Market Design10
Cornell University Uses Integer Programming to Optimize Final Exam Scheduling9
Introduction: Special Issue on Analytics Remedies to COVID-199
Editorial Board9
Collaborating with Local and Federal Law Enforcement for Disrupting Sex Trafficking Networks8
Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis8
Optimizing Mobility for Elderly and Disabled Dutch Citizens Using Taxis7
Editorial Board7
Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System6
Optimizing Music Station Playlists on Broadcast Radio6
SF Express Revolutionizes Its Operations Planning Strategy Using Operations Research6
Call for Papers—INFORMS Journal on Applied Analytics Special Issue: In Memoriam of Professor Burcu Keskin (1979–2024) on Supply Chain Optimization and Applications6
Leveraging Geospatial Analysis and Machine Learning for Optimal Green Vehicle Assignment6
Geiger Uses Machine Learning to Reduce Customer Churn in the Promotional Products Industry6
Modeling the Risk of In-Person Instruction During the COVID-19 Pandemic6
Supercharged by Advanced Analytics, JD.com Attains Agility, Resilience, and Shared Value Across Its Supply Chain6
Developing Optimization Tools for Municipal Solid Waste Collection in the Argentine City of Berazategui6
Improving Snowplowing Operations in Utah Through Optimization and Visualization5
Analytics Saves Lives During the COVID-19 Crisis in Chile5
Practice Summary: General Electric Company Optimizes Wind Turbine Towers Sourcing and Logistics Operations5
Practice Summary: Cainiao Enhances the Parcel Sorting Efficiency Through AI-Generated Delivery Zone Codes5
Editorial Board5
In Memoriam: Burcu Keskin, 1979–20244
Simulation-Optimization for Resource Allocation at SF Express Hub4
Information Value Analysis for Real-Time Silo Fill-Level Monitoring4
Editorial Board4
The University of Michigan Implements a Hub-and-Spoke Design to Accommodate Social Distancing in the Campus Bus System Under COVID-19 Restrictions4
Human-Centric Parcel Delivery at Deutsche Post with Operations Research and Machine Learning4
Technology Implementation at Capital One4
Regionalize and Scale: Amazon’s Fulfillment Network Design for Faster and Cheaper Delivery4
Final Exam Scheduling at Bucknell University: A Case Study and Open-Source Tool3
Merck Animal Health Uses Operations Research Methods to Transform Biomanufacturing Productivity for Lifesaving Medicines3
Practice Summary: Optimal Student Group Reassignment at U.S. Naval Academy3
Amazon Locker Capacity Management3
Editorial Board3
Algorithm for Robotic Picking in Amazon Fulfillment Centers Enables Humans and Robots to Work Together Effectively3
Editorial Board3
Practice Summary: Seminar Assignments in a University—MATLAB-Based Decision Support3
Reviewers 20223
Samsung Uses Data-Driven Approach to Manage Work-in-Process of Bottlenecks in Semiconductor Manufacturing Operations3
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