| Journal Profile | |||||||||||||||||||||
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| Journal Title | AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING | ||||||||||||||||||||
| Journal Title Abbreviations | AI EDAM | ||||||||||||||||||||
| ISSN | 0890-0604 | ||||||||||||||||||||
| E-ISSN | 1469-1760 | ||||||||||||||||||||
| h-index | 49 | ||||||||||||||||||||
| CiteScore |
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| Self-Citation Ratio (2019-2020) | 18.70% | ||||||||||||||||||||
| Official Website | http://aiedam.usc.edu/ | ||||||||||||||||||||
| Online Manuscript Submission | https://mc.manuscriptcentral.com/aie | ||||||||||||||||||||
| Open Access | No | ||||||||||||||||||||
| Publisher | CAMBRIDGE UNIV PRESS, 32 AVENUE OF THE AMERICAS, NEW YORK, USA, NY, 10013-2473 | ||||||||||||||||||||
| Subject Area | Engineering | ||||||||||||||||||||
| Country/Area of Publication | UNITED STATES | ||||||||||||||||||||
| Publication Frequency | Bimonthly | ||||||||||||||||||||
| Year Publication Started | 1987 | ||||||||||||||||||||
| Annual Article Volume | 37 | ||||||||||||||||||||
| Indexing (SCI or SCIE) | Science Citation Index Expanded | ||||||||||||||||||||
| Link to PubMed Central (PMC) | https://www.ncbi.nlm.nih.gov/nlmcatalog?term=0890-0604%5BISSN%5D | ||||||||||||||||||||
| Average Duration of Peer Review * | Authorized Data from Publisher: Data from Authors: >12 Week(s), or Invited contributions | ||||||||||||||||||||
| Competitiveness * | Data from Authors: Easy | ||||||||||||||||||||
| Useful Links |
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| *All review process metrics, such as acceptance rate and review speed, are limited to our user-submitted manuscripts. As such they may not reflect the journals' exact competitiveness or speed. | |||||||||||||||||||||
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| Reviews on AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING: | Write a review |
| Author: Anonymous Subject Area: Information Science Duration of Peer Review: 6.0 month(s) Result: Accepted after revision Write a review |
Reviewed 2016-07-11 15:06:32 AIEDAM: Artificial Intelligence for Engineering Design, Analysis and Manufacturing is a journal intended to reach two audiences: engineers and designers. Scientists who view AI technologies as powerful means for solving difficult engineering problems tend to read research published in this journal. Researchers in AI and computer science who are interested in applications of AI as well as in the theoretical issues that arise from such applications should publish in AEIDAM.  (0) Thank | Anonymous  |
| Author: Anonymous Subject Area: Information Science Duration of Peer Review: 0.0 month(s) Result: Write a review |
Reviewed 2013-01-16 08:31:00 This journal processing manuscript does not know if the editors are still on holiday.I submitted the manuscript on December 29th, 12th, and now it is on January 16th, 13th. The status is still ADM: Not Assigned, Awaiting Admin Processing, really depressed. (0) Thank | Anonymous |
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