Artificial Intelligence Review

ARTIFICIAL INTELLIGENCE REVIEW is a leading international journal published by Springer, serving as a premier platform for the dissemination of critical surveys, tutorials, and review articles across the entire spectrum of artificial intelligence. With an ISSN of 0269-2821 and an exceptional 2026 Impact Factor of 18.800, the journal is ranked in the Q1 quartile, reflecting its elite standing and high citation impact within the field of computer science and AI. The journal’s scope encompasses a broad range of AI topics, including machine learning, deep learning, natural language processing, computer vision, robotics, knowledge representation, expert systems, and intelligent agents, with a particular emphasis on emerging trends such as explainable AI, ethical AI, and autonomous systems. Unlike traditional research journals that prioritize novel experimental results, ARTIFICIAL INTELLIGENCE REVIEW exclusively publishes comprehensive review articles, state-of-the-art surveys, and critical analyses that synthesize and evaluate existing literature, making it an indispensable resource for researchers, practitioners, and graduate students seeking to stay abreast of rapid developments in the field. Its open access option allows for wide dissemination of content, enhancing global accessibility. The journal’s sustained Q1 ranking and extraordinarily high impact factor underscore its authority and influence, positioning it as a top-tier venue for authoritative overviews that shape the direction of AI research and application. By providing rigorously peer-reviewed, high-quality syntheses, ARTIFICIAL INTELLIGENCE REVIEW remains an essential reference for anyone engaged in the advancement or application of artificial intelligence technologies.