Robotics and Computer-Integrated Manufacturing

Aims & Scope

The emphasis of the journal Robotics and Computer-Integrated Manufacturing is on disseminating the application of research to the development of new or improved industrially-relevant robotics, manufacturing technologies, and innovative manufacturing strategies.

Preference is given to papers describing original research that includes both theory and experimental validation.

Comprehensive review papers on topical issues related to robotics and manufacturing will also be considered.

Papers on conventional machining processes, modelling and simulation, supply chain management, and resource optimisation, will generally be considered out of scope, as there are other more appropriate journals in these areas.

Overly theoretical or mathematical papers will be directed to other more appropriate journals as well.

Original papers are welcomed in the areas of industrial robotics, human-robot collaborative manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	11.4

SJR (SCImago Journal Rank)

Year	Value
2024	2.892

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	133

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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, Engineering and Mathematics, 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.

• From cloud computing to cloud manufacturing

  Citation: 1436

  Authors: Xun

• Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

  Citation: 1060

  Authors: Yuqian, Chao, Kevin I-Kai, Huiyue, Xun

• A systematic review of augmented reality applications in maintenance

  Citation: 592

  Authors: Riccardo, John Ahmet, Rajkumar, Hosein

• Absolute calibration of an ABB IRB 1600 robot using a laser tracker

  Citation: 513

  Authors: Albert, Ilian A.

• Collaborative manufacturing with physical human–robot interaction

  Citation: 497

  Authors: Andrea, Robin, André, Antoine, Philippe

• A multi-bead overlapping model for robotic wire and arc additive manufacturing (WAAM)

  Citation: 446

  Authors: Donghong, Zengxi, Dominic, Huijun

• Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm

  Citation: 408

  Authors: Min, Dunbing, Adriana, Miguel A., W.D.

• A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin

  Citation: 398

  Authors: Weichao, Tianliang, Yingxin, Chengrui, Yongli

• Recent progress on programming methods for industrial robots

  Citation: 379

  Authors: Zengxi, Joseph, Nathan, Stephen, John

• Robot skills for manufacturing: From concept to industrial deployment

  Citation: 371

  Authors: Mikkel Rath, Lazaros, Rasmus Skovgaard, Casper, Simon, Volker, Ole

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