Academic Journal
Q1Journal of Intelligent Manufacturing
About Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing is a scholarly journal published by Springer Netherlands. SCImago 2025 lists it in Q1, with an SJR of 1.888 and H-index of 124.
Coverage: 1990-2026. Research categories: Artificial Intelligence (Q1); Industrial and Manufacturing Engineering (Q1); Software (Q1).
Verified field sources
- Journal Impact Factor: 7.7 — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
- Impact Factor year: 2025 — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
- Editor(s): Andrew Kusiak PhD (Editor-in-Chief) — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
Source-backed journal facts
Topics in published research
Manufacturing Process and Optimization; Scheduling and Optimization Algorithms; Industrial Vision Systems and Defect Detection; Advanced Manufacturing and Logistics Optimization; Advanced machining processes and optimization; Digital Transformation in Industry.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
3,290.00 USD; 2,690.00 EUR; 2,390.00 GBP
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.
Weak defect detection on steel surfaces via uncertainty-guided sparse attention and hierarchical feature fusion
Zengwei Lian, Xianzhou Li, Bosong Qi, Xiaojian Zhang et al.
2026-10-03 · DOI: 10.1007/s10845-026-02979-0StatGraph-Net: a multichannel statistical-graph framework for compound fault diagnosis in milling machines
Saqib Umer, Zahoor Ahmad, Jong-Myon Kim
2026-10-01 · DOI: 10.1007/s10845-026-02998-xDomain-specific adaptation: low-rank adaptation fine-tuning of SAM 2 for manufacturing processes
Calvin Wetzel, James Haley, Vincent Paquit, Vladimir Orlyanchik et al.
2026-10-01 · DOI: 10.1007/s10845-026-02973-6Meta-reinforcement learning-based order quantity determination for the multi-echelon inventory management of an assembly system
Yosep Oh, Seungyun Lee, Hyunjoon Kim, Stephane Barde et al.
2026-10-01 · DOI: 10.1007/s10845-026-02988-zUncertainty-aware future trajectory prediction and collision risk assessment for moving objects in manufacturing workspaces
Min Ju Hong, Byeong Soo Kim
2026-09-27 · DOI: 10.1007/s10845-026-02974-5Development of an edge-IoT-enabled in-situ vision inspection system for real-time steel coil shape anomaly detection
Kuo-Liang Chu, Che-Wei Chou
2026-09-26 · DOI: 10.1007/s10845-026-02989-yX-CAD: a stand-off semantic annotation architecture for model-based definition
Alessio Pacini, Francesco Lupi, Michele Lanzetta
2026-09-26 · DOI: 10.1007/s10845-026-02946-9Multimodal and relation guided distillation for generalizable quality monitoring in material extrusion additive manufacturing
Jiaming Liu, Qiaoyun Wu, Xiang Wu, Jun Wang et al.
2026-09-24 · DOI: 10.1007/s10845-026-02980-7Natural language-driven digital twin scene generation in industrial workcells
Chaofan Lv, Jinsong Bao
2026-09-24 · DOI: 10.1007/s10845-026-02970-9IPEGCN: internal priors-guided external graph convolution network for machining defect segmentation under limited sample and strong interference
Zhenwei Xie, Bing Wang, Zhanqiang Liu, Aisheng Jiang et al.
2026-09-18 · DOI: 10.1007/s10845-026-02986-1Machine learning-based throughput prediction for serial production lines
Mosab Adwan, Ramiz Assaf, Anas Toma
2026-09-18 · DOI: 10.1007/s10845-026-02972-7Physics-guided deep learning for real-time resonance diagnostics and predictive maintenance in pulsed water jet manufacturing systems
Milena Kušnerová, Jan Valíček, Marta Harničárová, Hakan Tozan et al.
2026-09-15 · DOI: 10.1007/s10845-026-02947-8A physics-constrained framework for fatigue data augmentation of post-weld treated joints: censored S–N estimation with an exploratory generative component
Oğuzhan Mülkoğlu, Melih Kandemir, Halid Can Yıldırım
2026-09-15 · DOI: 10.1007/s10845-026-02975-4Physics-informed thermodynamical Hamiltonian hybrid modeling method for vibration prediction of electric spindles
Xiaojian Liu, Xinyu Lu, Huishu Jia, Wei Zeng et al.
2026-09-09 · DOI: 10.1007/s10845-026-02961-wPINN-based laser cladding morphology prediction for digital twin framework
Xiang Li, Jin Shi, Dong He, Xiaojun Liu et al.
2026-09-06 · DOI: 10.1007/s10845-026-02954-9Dynamic feed rate optimization for uniform grinding of aircraft skin epoxy resin coatings: a Preston-XGBoost integrated approach
Jialin Guo, Zhuoshi Li, Guanlin Song, Dequan Shi et al.
2026-09-06 · DOI: 10.1007/s10845-026-02976-3LightRAG empowered multi-objective optimization framework for process parameter control in polyester fiber polymerization
Cheng Li, Shu Zheng, Peng Zhang, Pengfei Ding et al.
2026-09-06 · DOI: 10.1007/s10845-026-02966-5Dynamic ensemble optimization for aluminum extrusion parameter prediction: a DDPG-based adaptive stacking method
Haoran Xu, Qiming Fu, Jianping Chen, Lanhui Liu et al.
2026-09-06 · DOI: 10.1007/s10845-026-02977-2Physical characterization and detection of process instabilities in wire arc additive manufacturing through arc-cycle feature extraction
André Ramalho, Benjamin Bevans, Douglas Serrati, Pedro Fonseca et al.
2026-09-04 · DOI: 10.1007/s10845-026-02967-4Grey box modeling to predict tensile properties in laser powder bed fusion
Florian Funcke, Tobias Forster, Marinus Kolbinger, Robin Prudlik et al.
2026-09-02 · DOI: 10.1007/s10845-026-02969-2Reviews
Community Reviews
Version History
September 25, 2026 at 7:12 am
September 25, 2026