Artificial Intelligence Review - Impact Factor

Artificial Intelligence Review - Kluwer Academic | 2024 Impact Factor:13.9 | Cite Score:26.3 | Q1

Artificial Intelligence Review Journal - Kluwer Academic - Impact Factor

Impact Factor and Journal Rank of Artificial Intelligence Review

About: Artificial Intelligence Review is a reputable, peer-reviewed academic journal that publishes comprehensive review articles, surveys, and tutorial papers in the field of artificial intelligence (AI). It serves as an essential platform for synthesizing existing research, presenting critical analyses, and identifying future directions in AI. Published by Springer, this journal is instrumental for researchers, practitioners, and students who seek to stay updated with the latest trends, methodologies, and advancements in AI.
Content: Detailed articles that review and synthesize the existing literature on specific AI topics, offering critical insights a Comprehensive surveys that map out the landscape of particular AI subfields, providing summaries of key research developments and future research directions.
High Standards and Impact: The journal is known for its rigorous peer-review process, ensuring that articles meet high standards of quality and relevance. It is recognized for its impact in the AI research community, with articles frequently cited by other researchers and practitioners.
Global Reach: Artificial Intelligence Review attracts contributions from a diverse, international group of researchers, ensuring a wide range of perspectives and methodologies.
Significance: It is a pivotal academic journal that significantly contributes to the field of AI by providing comprehensive reviews, surveys, and tutorials. Its broad scope, high standards, and impact make it an indispensable resource for researchers, practitioners, educators, and policymakers interested in understanding and advancing the field of artificial intelligence.

Journal Home: Journal Homepage

Editor-in-Chief: Derong Liu

About: The Artificial Intelligence Review journal is dedicated to publishing comprehensive review articles, surveys, and tutorials that provide deep insights into the advancements, trends, and future directions in the field of artificial intelligence (AI).
The scope of the journal encompasses a wide range of topics within AI, including but not limited to:
Foundations of AI: Reviews of the fundamental principles, theories, and methodologies underlying artificial intelligence, including logic, reasoning, and knowledge representation.
Machine Learning: Surveys and reviews of various machine learning paradigms, such as supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and deep learning.
Natural Language Processing (NLP): Comprehensive reviews of techniques and applications in NLP, including language modeling, text classification, machine translation, sentiment analysis, and conversational agents.
Computer Vision: Overviews of advancements in computer vision, including image and video analysis, object detection, facial recognition, and scene understanding.
Robotics and Autonomous Systems: Reviews of AI applications in robotics, including robot perception, planning, control, and autonomous navigation.
Cognitive Computing and AI in Cognitive Science: Exploration of AI techniques applied to cognitive computing and the understanding of human cognition, including cognitive architectures and models of perception, learning, and decision-making.
AI in Healthcare: Surveys on the use of AI in healthcare, including medical imaging, diagnostics, personalized medicine, and health informatics.
Intelligent Agents and Multi-Agent Systems: Reviews of the development and application of intelligent agents and multi-agent systems, including agent architectures, cooperation, coordination, and negotiation.