IISE Transactions

Aims & Scope

As the flagship journal of the Institute of Industrial and Systems Engineers, IISE Transactions publishes original high-quality papers on a wide range of topics of interest to industrial engineers who want to remain current with the state-of-the-art technologies.

The refereed journal aims to foster the engineering community by publishing papers with a strong methodological focus motivated by real problems that impact engineering practice and research.

Published monthly, the journal is composed of four focus issues: Design and Manufacturing, Operations Engineering and Analytics, Quality and Reliability Engineering, and Scheduling and Logistics.

IISE Transactions encourages research motivated by critical and complex engineering problems that arise in a wide variety of domains including service, public policy, health care, security, biotechnology, transportation, and others.

The journal publishes papers that integrate industrial engineering with other disciplines including statistics, other engineering disciplines, computer science, biological science, and operations research.

Articles covering new methodologies and state-of-the-art surveys are included in the journal.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.3
2024	2.00

Journal Rank

Year	Value
2024	6200

Journal Citation Indicator

Year	Value
2024	832

SJR (SCImago Journal Rank)

Year	Value
2024	0.851

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	112

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

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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.

• The internet of things for smart manufacturing: A review

  Citation: 333

  Authors: Hui, Soundar, Satish T.S., Fugee

• Augmented reality technology in the manufacturing industry: A review of the last decade

  Citation: 326

  Authors: Eleonora, Giuseppe

• <i>In-situ</i> monitoring of melt pool images for porosity prediction in directed energy deposition processes

  Citation: 227

  Authors: Mojtaba, Sudipta, Mark A., Haley R., Mohammad, Linkan

• Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults

  Citation: 158

  Authors: Aniruddha, Reza, Mohammad, Kevin, Linkan, Prahalada

• Applying deep learning to the newsvendor problem

  Citation: 113

  Authors: Afshin, Lawrence V., Martin

• Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information

  Citation: 112

  Authors: Hengjie, Yucheng, Jing, Francisco, Enrique

• A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics

  Citation: 110

  Authors: Minhee, Kaibo

• An overview and perspective on social network monitoring

  Citation: 104

  Authors: William H., Meng J., Kamran, Ross, James D.

• Inventory allocation in robotic mobile fulfillment systems

  Citation: 100

  Authors: Tim, Debjit, René B.M.

• In-process monitoring of porosity in additive manufacturing using optical emission spectroscopy

  Citation: 87

  Authors: Mohammad, Abdalla R., Alexander J., Prahalada

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