Enterprise Information Systems

Aims & Scope

Enterprise Information Systems (EIS) is a world-leading journal focusing on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment.

Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.9
2024	4.40

Journal Rank

Year	Value
2024	5811

Journal Citation Indicator

Year	Value
2024	1295

SJR (SCImago Journal Rank)

Year	Value
2024	0.888

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	65

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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 Computer Science and Decision Sciences, 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.

• Cloud manufacturing: a new manufacturing paradigm

  Citation: 671

  Authors: Lin, Yongliang, Fei, Bo Hu, Lei, Xuesong, Hua, Ying, Anrui, Yongkui

• Big data for cyber physical systems in industry 4.0: a survey

  Citation: 417

  Authors: Li Da, Lian

• The modelling and operations for the digital twin in the context of manufacturing

  Citation: 274

  Authors: Jinsong, Dongsheng, Jie, Jie

• On the principle of design of resilient systems – application to enterprise information systems

  Citation: 234

  Authors: W. J., Y.

• Fog computing job scheduling optimization based on bees swarm

  Citation: 229

  Authors: Salim, Sherali, Abdelhamid

• Cloud manufacturing: from concept to practice

  Citation: 219

  Authors: Lei, Lin, Fei, Chun, Xudong, Xinpei

• Healthcare information systems: data mining methods in the creation of a clinical recommender system

  Citation: 212

  Authors: L., W. N., E.

• Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies

  Citation: 211

  Authors: Hong-Ning, Hao, Guangquan, Jiafu, Muhammad

• A framework for investigation into extended enterprise resilience

  Citation: 208

  Authors: Ozgur, Brian J., Mo

• Big data analytics in healthcare: a systematic literature review

  Citation: 197

  Authors: Sayantan, Amandeep, A. K. M. Najmul, Matti

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