Academic Journal
Q1CIRP Journal of Manufacturing Science and Technology
About CIRP Journal of Manufacturing Science and Technology
About CIRP Journal of Manufacturing Science and Technology
CIRP Journal of Manufacturing Science and Technology is a peer-reviewed scholarly journal published by Elsevier Ltd (United Kingdom). It focuses on Q1. Publication coverage spans 2008-2026.
Key indicators: ISSN 1755-5817, 1878-0016; H-index 77.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
- H-index (77): Strong citation impact — 77 articles cited at least 77 times each, reflecting solid influence.
Publishing in CIRP Journal of Manufacturing Science and Technology
An established venue in its field. The journal welcomes solid, well-executed research. Ensure your manuscript fits the stated scope and follows author guidelines carefully.
- Scope fit: Confirm your research aligns with Q1. Off-scope manuscripts are typically desk-rejected quickly.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
- Submission: Submit via the official journal website.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of CIRP Journal of Manufacturing Science and Technology?
1755-5817, 1878-0016.
Who publishes CIRP Journal of Manufacturing Science and Technology?
Elsevier Ltd.
What are CIRP Journal of Manufacturing Science and Technology's metrics?
H-index 77.
Where do I submit to CIRP Journal of Manufacturing Science and Technology?
Via the official website.
Is CIRP Journal of Manufacturing Science and Technology peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Source-backed journal facts
Topics in published research
Advanced machining processes and optimization; Advanced Surface Polishing Techniques; Manufacturing Process and Optimization; Advanced Machining and Optimization Techniques; Additive Manufacturing and 3D Printing Technologies; Additive Manufacturing Materials and Processes.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
2,950.00 USD; 2,760.00 EUR; 2,360.00 GBP; 365,890.00 JPY
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
A machine learning approach to calibrate Johnson-Cook material and damage model parameters for commercially pure titanium using plunge-type cutting experiments
Yiğit Karpat, Syed Ahsan Adeeb, Bilge Koyuncu
2026-12 · DOI: 10.1016/j.cirpj.2026.09.005Constitutive modelling and machining behavior of wrought and FFF-produced stainless steels via direct and inverse parameter identification
Mohammad Valiyan, Muhammad Asim Ghaffar, Jannis Saelzer, Ahmad Barari et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.020Numerical and experimental investigation of laser remelting in selective laser melting of 316L stainless steel
Mingxia Chai, Zhiyong Li, Wei Zhang, Da Mu et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.029Physics-constrained dual-path acoustic-emission monitoring of material removal and surface roughness for robotic CFRP belt grinding
Yitong Qin, Sijie Yan, Zeyuan Yang, Quan Zheng et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.025Mechanistic analysis of process forces in machining of high-interstitial steel X30CrMnN18-18
Gero Polus, Hendric Schaefer, Jannis Saelzer, Sebastian Weber et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.012Surface quality improvement mechanism in cryogenic electrochemical trepanning based on array hole structure
Erhao Jiao, Dong Zhu, Ning Tian, Ruolong Wang et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.10.002Performance evaluation of modulation-assisted hard turning of AISI 52100 steel
Aaqib Ali, Veda Kumar Reddy Lakdaram, Patrick Kwon, Yang Guo et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.028Knowledge-driven interpretable risk evaluation and rule-guided parameter adjustment for milling processes
Qinghua Liu, Xiaomeng Tong, Maolin Cai, Fangcheng Xu et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.016Grinding mechanism of high-efficiency and low-energy consumption in ultrasonic electrochemical composite grinding of bearing steel
Chenglong Li, Feng Jiao, Hongyin Zhang, Fukai Cui et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.019Synergistic improvement of forming efficiency and quality in AA6082-T6 welding via combination of multi-stranded wire and laser-arc hybrid process
Haoquan Zhang, Hao Yi, Huajun Cao, Jun Luo et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.004Knowledge graph and large language model-enhanced approach for process knowledge reasoning of complex parts
Xiaogui Tian, Jianxin Xu, Zhenming Zhang
2026-12 · DOI: 10.1016/j.cirpj.2026.09.013Circularity-based hybrid learning framework for disassembly sequence planning in early-stage design
Bertrand Marconnet, Anicet Barrios, Frédéric Demoly, Julien Le Duigou et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.10.003Surface roughness-driven inverse design of milling processes using machine learning
Hadi Bakhshan, Sima Farshbaf, Fernando Rastellini, Josep Maria Carbonell et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.003A novel milling operation strategy prediction method based on boundary representation learning
Shuai Niu, Fangwei Ning, Maolin Cai, Xiaomeng Tong et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.08.011Modelling heart rate response to machining tasks
Gregoire Tambwe Mbangu, George Stilwell, Yilei Zhang, Dirk Pons et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.007Correlation between the chip geometry and the occurrence of chip welding in dry gear hobbing
Melina Kamratowski, Mareike Davidovic, Christian Westphal, Thomas Bergs et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.014Surface residual stress prediction and experimental validation in internal gear power honing via cross-sequence thermo-mechanical modeling
Chenghui Zhang, Xiaohui Huang, Huajun Cao, Guibao Tao et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.024A generic framework for modeling milling forces in structured anisotropic materials: Application to unidirectional and woven glass fiber-reinforced polymers
Julien Verheve, Matthias Nutte, Edouard Rivière-Lorphèvre, Valentin Dambly et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.018Effect of process gas composition on laser-powder-substrate interaction, powder degradation and build quality in Laser-Directed Energy deposition of IN718
Rahul John, Aramuriparambil Santhosh Vishnu, Subhendu Naskar, Pranav Raj et al.
2026-12 · DOI: 10.1016/j.cirpj.2026.09.021Optimization of channel allowance in electrochemical machining by an intermittent conduction strategy of a modular cathode
Zhenyu Shen, Zhengyang Xu, Yudi Wang
2026-12 · DOI: 10.1016/j.cirpj.2026.08.003Reviews
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Version History
October 9, 2026 at 8:08 pm
September 25, 2026