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Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Cambridge University Press · United Kingdom

ISSN0890-0604eISSN1469-1760
SJR Q2✓ WOS SCIE✓ Scopus / SJR
Impact Factor & Quartile · Web of Science (JCR)

✓ Indexed in the Web of Science Core Collection (SCIE) — Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.

See the official Impact Factor & quartile on the journal’s page ↗

The Impact Factor & JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date. Open metrics below: SCImago Q2. Source: Clarivate Journal Citation Reports.

📊 Standing in its field
Where this journal ranks among others in the same subject area.
Q2
SJR · Scopus
Top 50% in field
Clarivate’s JCR quartile is a separate ranking and may differ
SJR Scorei
0.447
H-Indexi
69
SNIPi
0.942
Total Worksi
1,392
Total Citationsi
23,634
2yr Mean Citednessi
2.24
Open Impact Factor alternative

Aims & Scope

Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AI EDAM) is a journal that publishes original research papers on the application of artificial intelligence techniques to engineering design, analysis, and manufacturing. The journal covers a wide range of topics, including knowledge-based systems, expert systems, machine learning, neural networks, fuzzy logic, genetic algorithms, and other AI methodologies applied to engineering problems. AI EDAM aims to bridge the gap between AI research and its practical implementation in engineering industries.

General Information

Country / RegionUnited Kingdom
Primary LanguageEnglish
1st Year Published—
FrequencyQuarterly
StatusActive
Total Publications1,392
Publisher OrgCambridge University Press
Visit Journal Website

Submission Info

Publishing ModelSubscription
Peer ReviewSingle-blind peer review
OA License—
OA Rate—

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

7/11 · 64%
✅
Do you know the journal / publisher?
Cambridge University Press
✅
Does the journal have a website?
✓ Linked
✅
Is the ISSN verified?
0890-0604 / 1469-1760
✅
Indexed in a trusted database?
WoS, Scopus
✅
Peer review process documented?
Single-blind peer review
❌
Follows ethical publishing standards (COPE)?
N/A
✅
Not on predatory/blacklists?
✓ Clean
❌
Long-term digital preservation?
N/A
❌
Plagiarism detection in place?
N/A
❌
Listed in DOAJ (verified OA)?
N/A
✅
Primary language documented?
English

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Publication & Citation Trend

Articles published
Citations received
42
549
2019
51
523
2020
28
241
2021
35
315
2022
26
249
2023
25
107
2024
31
118
2025
7
3
2026

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Industrial and Manufacturing EngineeringQ2
Artificial IntelligenceQ3

Subject Classification

Web of Science Categories

Computer Science, Artificial IntelligenceComputer Science, Interdisciplinary ApplicationsEngineering, ManufacturingEngineering, Multidisciplinary

Scopus Categories

Industrial and Manufacturing EngineeringArtificial Intelligence

Research Topics (OpenAlex)

Design Education and PracticeManufacturing Process and OptimizationProduct Development and CustomizationDiverse Scientific and Economic StudiesBIM and Construction Integration

Frequently asked questions about Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Is Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM a predatory journal?

PubScope has no integrity flags on record for Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM: it is indexed in Web of Science, Scopus, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM?

Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM is indexed in the Web of Science Core Collection, so Clarivate publishes an official Journal Impact Factor for it (since the 2023 Journal Citation Reports, every Core Collection journal — including Arts & Humanities and Emerging Sources titles — receives one). PubScope links to Clarivate's official source rather than reprinting the number, which can be out of date. Its open 2-year mean citedness is 2.24.

Is Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM indexed in Scopus and Web of Science?

Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM is indexed in Web of Science, Scopus.

What is the aims and scope of Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM?

Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AI EDAM) is a journal that publishes original research papers on the application of artificial intelligence techniques to engineering design, analysis, and manufacturing. The journal covers a wide range of topics, including knowledge-based systems, expert systems, machine learning, neural networks, fuzzy logic, genetic algorithms, and other AI methodologies applied to engineering problems. AI EDAM aims to bridge the gap between AI research and its practical implementation in engineering industries.

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Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref