Journal of Artificial Intelligence Research - Impact Factor

Journal of Artificial Intelligence Research | 2024 Impact Factor:5 | Cite Score:12.8 | Q1

Impact Factor and Journal Rank of Journal of Artificial Intelligence Research

About: JAIR (ISSN 1076 - 9757) covers all areas of artificial intelligence (AI), serving as a prominent venue for publishing refereed research articles, survey articles, and technical notes. Established in 1993, JAIR was among the pioneering electronic scientific journals in the field of AI. It is indexed by INSPEC, Science Citation Index, and MathSciNet, ensuring wide visibility and scholarly impact.
Significance:
Comprehensive Coverage: JAIR publishes cutting-edge research across the breadth of artificial intelligence, including theoretical advances, algorithm development, applications in various domains, and interdisciplinary studies.
Publication Formats: The journal accepts refereed research articles that contribute novel insights, survey articles that synthesize existing knowledge, and technical notes that present concise findings or methodologies.
Pioneering Legacy: Since its inception, JAIR has played a pivotal role in advancing AI research by providing a rigorous peer-reviewed platform for dissemination.
Indexing and Recognition: Indexed by INSPEC, Science Citation Index, and MathSciNet, JAIR ensures high visibility and academic credibility for published work.
Submission Guidelines:
Researchers are encouraged to submit original contributions that significantly advance the field of artificial intelligence.
Submissions should adhere to rigorous scientific standards, demonstrating novelty, technical rigor, and relevance to AI research.
Authors can submit research articles presenting new algorithms, theoretical insights, or practical applications of AI.
Survey articles should provide comprehensive reviews of specific AI topics, while technical notes can focus on concise results or methodologies.

Journal Home: Journal Homepage

Editor-in-Chief: Malte Helmert

Scope: The Journal of Artificial Intelligence Research (JAIR) is a premier peer-reviewed academic journal covering all aspects of artificial intelligence (AI). It aims to publish high-quality, original research articles that contribute to advancing the field of AI. Key topics include, but are not limited to:
Machine Learning: Algorithms, models, and methods for learning from data, including deep learning, reinforcement learning, and probabilistic graphical models.
Knowledge Representation and Reasoning: Formalisms, logics, and techniques for representing and reasoning with knowledge, including ontologies and semantic web technologies.
Natural Language Processing: Techniques for understanding, generating, and processing human language, including semantics, discourse analysis, and dialogue systems.
Computer Vision: Image and video analysis, object detection and recognition, scene understanding, and applications in robotics and autonomous systems.
Planning and Scheduling: Algorithms and methods for automated planning, scheduling, and decision-making under uncertainty.
Ethical AI: Discussions on the ethical implications, fairness, accountability, transparency, and societal impacts of AI technologies.
AI Applications: Real-world applications of AI in various domains such as healthcare, finance, robotics, education, and autonomous systems.