INFORMS Journal on Applied Analytics
Published by INFORMS Inst.for Operations Res.and the Management Sciences
ISSN : 2644-0865 eISSN : 2644-0873
Abbreviation : INFORMS J. Appl. Anal.
Aims & Scope
The mission of INFORMS Journal on Applied Analytics (IJAA) is to publish manuscripts focusing on the practice of operations research (OR) and management science (MS) and the impact this practice has on organizations throughout the world.
The most appropriate papers are descriptions of the practice and implementation of OR/MS in commerce, industry, government, or education.
The journal publishes papers in all areas of OR/MS including operations management, information systems, finance, marketing, education, quality, and strategy.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.8 |
2024 | 1.10 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.498 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 12 |
Journal Rank
Year | Value |
---|---|
2024 | 11631 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 102 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting and Decision Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
-
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning
Citation: 104
Authors: Zhiwei (Tony), Xiaocheng, Yan, Fan, Zhe, Hongtu, Jieping
-
JD.com: Operations Research Algorithms Drive Intelligent Warehouse Robots to Work
Citation: 48
Authors: Hengle, Jun, Dongdong, Linwei, Jianjun, Simai, Haodong, John Gunnar
-
Microsoft Uses Machine Learning and Optimization to Reduce E-Commerce Fraud
Citation: 40
Authors: Jay, Yuting, Anand, John, Yung-Wen
-
Primal–Dual Algorithms for Order Fulfillment at Urban Outfitters, Inc.
Citation: 33
Authors: John M., Vivek F., Aryan I., Chad M.
-
Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities
Citation: 26
Authors: David, Margaret L.
-
Centralized Admissions for Engineering Colleges in India
Citation: 24
Authors: Surender, Partha Pratim, Sharat, Yashodhan, Utkarsh
-
Collaborative Human–UAV Search and Rescue for Missing Tourists in Nature Reserves
Citation: 22
Authors: Yu-Jun, Yi-Chen, Wei-Guo, Hai-Feng
-
A Machine Learning-Based System for Predicting Service-Level Failures in Supply Chains
Citation: 22
Authors: Gabrielle Gauthier, Philippe, Eric, Emmanuel, Louis-Martin
-
Algorithm for Robotic Picking in Amazon Fulfillment Centers Enables Humans and Robots to Work Together Effectively
Citation: 19
Authors: Russell, Tolga, Daniel
-
Alibaba Vehicle Routing Algorithms Enable Rapid Pick and Delivery
Citation: 19
Authors: Haoyuan, Ying, Jiangwen, Yang, Xinhui, Shaojian, Guangrui, Yuming, Siwei