Journal of Experimental and Theoretical Artificial Intelligence Taylor & Francis Impact Factor

About: The Journal of Experimental and Theoretical Artificial Intelligence (JETAI) is a leading publication in the field of artificial intelligence. It provides a platform for researchers, scientists, and practitioners to publish original research articles, reviews, and technical notes that advance the understanding and application of AI technologies.
Publication Frequency: The journal is published regularly to ensure timely dissemination of new research and developments in the field of AI.
Peer Review: All submissions undergo a rigorous peer-review process by experts in the field to maintain high academic standards and ensure the validity and significance of published research.
Audience: JETAI caters to researchers, academics, and professionals interested in the theoretical foundations, experimental methods, and practical applications of artificial intelligence.
Impact: JETAI aims to advance the field of artificial intelligence by publishing innovative and impactful research that contributes to the ongoing development and understanding of AI technologies.

Scope: The journal covers a wide range of topics related to artificial intelligence, including:
Machine Learning: Algorithms, methodologies, and applications of machine learning, including supervised, unsupervised, and reinforcement learning.
Knowledge Representation and Reasoning: Formalisms, languages, and techniques for representing and reasoning with knowledge in AI systems.
Natural Language Processing: Computational models and algorithms for understanding, generating, and processing natural language.
Computer Vision: Algorithms and systems for interpreting visual information, image and video understanding, object recognition, and scene analysis.
Robotics and Autonomous Systems: AI techniques applied to robotics, autonomous agents, multi-agent systems, and human-robot interaction.
Cognitive Modeling: Computational models of human cognition and their applications in AI research.
Ethics and AI: Ethical considerations, societal impacts, and policy implications of AI technologies.
Applications of AI: Practical applications of AI in various domains such as healthcare, finance, gaming, education, and more.