Intelligent Systems and Technology - Impact Factor

Acm Transactions on Intelligent Systems and Technology | 2024 Impact Factor:7.2 | Cite Score:11.2 | Q1

Acm Transactions on Intelligent Systems and Technology Journal

Impact Factor and Journal Rank of Acm Transactions on Intelligent Systems and Technology

About: ACM Transactions on Intelligent Systems and Technology (ACM TIST) is a prestigious peer-reviewed journal published by the Association for Computing Machinery (ACM). It focuses on the latest research and developments in the broad field of intelligent systems and technology, encompassing both theoretical and practical aspects. The journal serves as a significant resource for researchers, practitioners, and academics involved in artificial intelligence (AI) and intelligent systems.
Interdisciplinary Approach: The journal embraces an interdisciplinary approach, covering topics and methodologies from computer science, engineering, cognitive science, and other relevant fields to address complex challenges in intelligent systems and technology.
High Standards and Impact: ACM TIST maintains rigorous standards of quality through a thorough peer-review process conducted by experts in the field. It is recognized for its high impact and influence, with articles frequently cited by researchers and practitioners.
Global Reach: The journal attracts contributions from researchers and institutions worldwide, ensuring a diverse range of topics, methodologies, and perspectives that make it a valuable resource for the global AI and intelligent systems community.
Significance: It is a leading journal in the field of intelligent systems, playing a crucial role in advancing research, fostering innovation, informing practice, and promoting collaboration in this dynamic and rapidly evolving area of computer science and technology.

Journal Home: Journal Homepage

Editor-in-Chief: Huan Liu

Scope: ACM Transactions on Intelligent Systems and Technology (ACM TIST) is a premier journal that publishes high-quality, peer-reviewed research in the field of intelligent systems and technologies. The journal aims to cover a broad range of topics that encompass the development, deployment, and application of intelligent systems.
Here are the key areas covered by the scope of ACM Transactions on Intelligent Systems and Technology:
Artificial Intelligence (AI): Research on fundamental AI techniques and methodologies, including machine learning, neural networks, genetic algorithms, fuzzy systems, and expert systems. This includes both theoretical advancements and practical implementations of AI technologies.
Machine Learning and Data Mining: Studies on algorithms and systems for learning from data, including supervised, unsupervised, semi-supervised, and reinforcement learning. This includes research on data mining techniques for discovering patterns and knowledge from large datasets.
Knowledge Representation and Reasoning: Research on methods for representing, managing, and reasoning about knowledge in intelligent systems. This includes studies on ontologies, semantic networks, logic programming, and rule-based systems.
b>Natural Language Processing (NLP): Studies on the processing and understanding of human language by computers. This includes research on language modeling, text mining, machine translation, sentiment analysis, and conversational agents.
Computer Vision and Image Processing: Research on techniques for interpreting and understanding visual information from images and videos. This includes studies on object recognition, image segmentation, motion analysis, and visual scene understanding.
Robotics and Autonomous Systems: Studies on the design and control of robotic systems and autonomous agents. This includes research on robot perception, motion planning, multi-agent systems, and human-robot interaction.
Intelligent User Interfaces: Research on the design and evaluation of user interfaces that incorporate intelligent behavior. This includes studies on adaptive interfaces, user modeling, recommender systems, and virtual assistants.
Cognitive Systems and Human-Computer Interaction (HCI): Studies on the interaction between intelligent systems and human users. This includes research on cognitive modeling, affective computing, brain-computer interfaces, and user experience design.