International Journal of Computer Integrated Manufacturing

Aims & Scope

International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing.

The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing.

Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years.

IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas.

In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4
2024	3.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.911

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	74

Journal Rank

Year	Value
2024	5592

Journal Citation Indicator

Year	Value
2024	1453

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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 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.

• Human<b>–</b>robot interaction review and challenges on task planning and programming

  Citation: 336

  Authors: Panagiota, Sotiris, George

• The use of Digital Twin for predictive maintenance in manufacturing

  Citation: 330

  Authors: P., K., G.

• Design, analysis and manufacturing of lattice structures: an overview

  Citation: 291

  Authors: Mark, Sami

• Computer-aided process planning – A critical review of recent developments and future trends

  Citation: 286

  Authors: Xun, Lihui, Stephen T.

• Cloud manufacturing: key characteristics and applications

  Citation: 260

  Authors: Lei, Lin, Lihui, Fei, Xudong

• A review of hybrid manufacturing processes – state of the art and future perspectives

  Citation: 250

  Authors: Z., V.G., A., S.T.

• Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing

  Citation: 238

  Authors: Kosmas, Nikolaos, George

• On a human-robot collaboration in an assembly cell

  Citation: 221

  Authors: Panagiota, Alexandros-Stereos, Sotiris, George

• Real-time information capturing and integration framework of the internet of manufacturing things

  Citation: 218

  Authors: Yingfeng, Geng, Junqiang, Shudong, Shubin, Teng

• A state-of-the-art survey of cloud manufacturing

  Citation: 191

  Authors: Wu, Lida

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