Journal of Manufacturing Science and Engineering

Aims & Scope

Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.9
2024	2.40

Journal Rank

Year	Value
2024	8098

Journal Citation Indicator

Year	Value
2024	1737

SJR (SCImago Journal Rank)

Year	Value
2024	0.700

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	118

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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.

• Additive Manufacturing: Current State, Future Potential, Gaps and Needs, and Recommendations

  Citation: 725

  Authors: Yong, Ming C., Jyoti, Alkan

• Prediction of Milling Force Coefficients From Orthogonal Cutting Data

  Citation: 580

  Authors: E., Y., E. J. A.

• A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

  Citation: 571

  Authors: Gustavo, Alaa

• A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

  Citation: 503

  Authors: Dazhong, Connor, Janis, Robert X., Soundar

• Multi Frequency Solution of Chatter Stability for Low Immersion Milling

  Citation: 404

  Authors: S. D., Y.

• Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook

  Citation: 387

  Authors: Jorge F., Qing, Robert X., Chengying, Jianjing

• Data Mining in Manufacturing: A Review

  Citation: 367

  Authors: J. A., M., A.

• Bioprinting Technology: A Current State-of-the-Art Review

  Citation: 361

  Authors: Amer B., Ibrahim T.

• Electron Beam Additive Manufacturing of Titanium Components: Properties and Performance

  Citation: 349

  Authors: P., A., M.

• State Space Modeling of Sheet Metal Assembly for Dimensional Control

  Citation: 336

  Authors: Jionghua, Jianjun

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