Overview
The Journal of Intelligent Manufacturing is peer-reviewed publication dedicated to the application of artificial intelligence in manufacturing.
- Publishes research related to product development, manufacturing, and service systems.
- Connects the research community with industry.
- Features articles covering new methodologies and developments, case studies, and surveys.
- Covers emerging areas including additive manufacturing, digital manufacturing, cyber-physical solutions, cloud applications, and deep learning.
- Offers special issues on topics of interest to the readership.
This is a transformative journal, you may have access to funding.
- Editor-in-Chief
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- Andrew Kusiak
- Impact factor
- 8.3 (2022)
- 5 year impact factor
- 6.9 (2022)
- Submission to first decision (median)
- 10 days
- Downloads
- 648,402 (2023)
Latest articles
Journal information
- Electronic ISSN
- 1572-8145
- Print ISSN
- 0956-5515
- Abstracted and indexed in
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- ABS Academic Journal Quality Guide
- ACM Digital Library
- ANVUR
- Australian Business Deans Council (ABDC) Journal Quality List
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Current Contents/Engineering, Computing and Technology
- DBLP
- Dimensions
- EBSCO
- EI Compendex
- Google Scholar
- INSPEC
- Japanese Science and Technology Agency (JST)
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- Research Papers in Economics (RePEc)
- SCImago
- SCOPUS
- Science Citation Index Expanded (SCIE)
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Copyright information
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© Springer Science+Business Media, LLC, part of Springer Nature