Artificial Intelligence and Autonomous Systems

Aims & Scope

The journal Artificial Intelligence and Autonomous Systems (AIAS) is an online multidisciplinary open access journal aiming to provide a peer-reviewed forum for rigorous and fast publications of the latest research findings and industrial applications in the contemporary fields of AI and autonomous systems. AIAS welcomes research articles on the theoretical, computational, cognitive, and empirical aspects of AI, autonomous systems, and their implementations. The scope and topics of AIAS include but are not limited to: Theoretical foundations of AI Theoretical foundations of AS Autonomous AI Brain-inspired systems Autonomous medical devices and systems Autonomous vehicles Autonomous human-machine systems Autonomous function and behavior generation Interactive intelligent systems Autonomous decision making Autonomous machine learning theory Computer vision Autonomous robotics and control Language and semantic processing Data science AI control theory and optimization Networked and distributed systems AI-based computer security High-performance computing driven by AI

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

Subject Classification