Frontiers in Emerging Artificial Intelligence and Machine Learning
Open Access
Peer Reviewed
International
Monthly Frequent
Crossref DOI
Google Scholar
Frontiers in Emerging Artificial Intelligence and Machine Learning is an international, peer-reviewed journal dedicated to advancing innovative research in artificial intelligence, machine learning, data science, and intelligent systems. The journal provides a global platform for researchers, academicians, and industry professionals to present cutting-edge methodologies, theoretical advancements, and real-world applications of AI and ML technologies.
The journal encourages interdisciplinary research integrating computer science, engineering, mathematics, cognitive sciences, and domain-specific applications, addressing emerging challenges and opportunities in intelligent automation, decision support, and data-driven innovation.
Frontiers in Emerging Artificial Intelligence and Machine Learning invites original and unpublished research articles, review papers, survey studies, technical reports, and conceptual frameworks from scholars and practitioners worldwide. The journal follows a double-blind peer review process and publishes articles on a monthly basis, ensuring rapid, rigorous, and high-quality dissemination of AI and ML research.
Submission Dates: 1st to 25th of each month
Publication Frequency: Monthly
License: Creative Commons (CC BY 4.0)
Key Features: International Editorial Board, Open-Access Policy, Global Research & Industry Visibility
All manuscripts submitted must be original, unpublished, and not under consideration for publication elsewhere.
Frontiers in Emerging Artificial Intelligence and Machine Learning
Journal Metrics
First decision
14 days
Review Process Timing
5-7 Weeks
Published Articles
—
Acceptance rate
%37.5
Impact Factor
6.3
Frequency
12 times a year
Access type
Open Access
License type
CC BY-NC