Home›Search›Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Cambridge University Press · United Kingdom

ISSN0890-0604eISSN1469-1760

SJR Q2✓ WOS SCIE✓ Scopus / SJR

/ 100

Medium Risk

Score Breakdown

✓ WoS SCIE/SSCI+25

✓ Scopus Q2+18

Total43

Journal Impact Factor

This journal is indexed in Web of Science (JCR) and has an official Journal Impact Factor. View the current value on the journal’s page ↗

SJR Score

0.574

H-Index

CiteScore

View ↗

Scopus metric · on the journal’s page

SNIP

0.942

Total Works

1,392

Total Citations

23,634

2yr Mean Citedness

2.24

Free JIF 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.

⚡ Speed vs Prestige

How does this journal balance review speed with impact level?

SJR Rank

Top 50% in field

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

Review Time—

Acceptance Rate—

OA License—

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

7/12 · 58%

✅

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

❌

APC fees clearly disclosed?

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

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

Publication & Citation Trend

Articles published

Times cited

2019

2020

2021

2022

2023

2024

2025

2026

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

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

Artificial IntelligenceQ2

Industrial and Manufacturing EngineeringQ2

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