Applied Artificial Intelligence - Impact Factor

Applied Artificial Intelligence - Taylor & Francis | 2024 Impact Factor:4.3 | Cite Score:7.6 | Q2

Impact Factor and Journal Rank of Applied Artificial Intelligence

About: Applied Artificial Intelligence is a peer-reviewed scientific journal that focuses on the practical applications of artificial intelligence across various domains such as management, industry, engineering, administration, and education. The journal also evaluates existing AI systems and tools, examining their economic, social, and cultural impacts. It serves as a platform for applied research in AI, facilitating the exchange of ideas and discussions about the implications of AI advancements.
Significance:
Scope: The journal covers a broad spectrum of applied research topics in artificial intelligence, including but not limited to management, industry applications, engineering solutions, and educational uses of AI.
Impact Evaluation: Articles in the journal assess the effectiveness and implications of AI systems and technologies in real-world settings.
Interdisciplinary Focus: Applied Artificial Intelligence promotes interdisciplinary collaboration, encouraging contributions from researchers and practitioners across different fields.
Peer-Reviewed Content: All submissions undergo rigorous peer review to ensure high scientific standards and relevance to applied AI research.
Submission Guidelines:
Authors are invited to submit original research articles, reviews, and evaluations of AI systems.
Manuscripts should demonstrate innovative applications of AI technology and their practical implications.
The journal encourages submissions that discuss economic, social, and cultural impacts of AI implementations.
Detailed methodologies and results must be included, emphasizing the practical benefits and challenges of AI solutions.

Journal Home: Journal Homepage

Editor-in-Chief: Marcello Trovati

Scope: Applied Artificial Intelligence is a peer-reviewed journal that publishes innovative research and applications in the field of artificial intelligence (AI). The journal covers a wide range of topics related to the practical implementation and deployment of AI technologies in various domains, including but not limited to:
Machine Learning: Algorithms, methods, and applications of machine learning techniques in real-world scenarios.
Natural Language Processing: Techniques for understanding and processing human language, including sentiment analysis, text summarization, and machine translation.
Computer Vision: Image and video analysis, object detection and recognition, and scene understanding using AI.
Robotics and Autonomous Systems: Applications of AI in robotics, autonomous navigation, human-robot interaction, and swarm intelligence.
Knowledge Representation and Reasoning: Methods for representing and processing knowledge to facilitate intelligent decision-making and problem-solving.
AI in Healthcare: Applications of AI in medical imaging, diagnosis, personalized medicine, and healthcare management systems.
Ethical and Social Implications of AI: Discussions on the ethical considerations, biases, fairness, transparency, and societal impacts of AI technologies.
AI Applications in Industry and Business: Case studies, implementations, and best practices of AI in finance, marketing, manufacturing, and logistics.