Journal of Ambient Intelligence and Humanized Computing

Aims & Scope

Journal of Ambient Intelligence and Humanized Computing (AIHC) provides output for new research into new principes and methods of Artificial Intelligence that is context aware, self-adaptive, transparent and can show human treats towards the future of General Intelligence. The Journal of Ambient Intelligence and Humanized Computing (AIHC) serves as a platform for disseminating cutting-edge research on emerging principles and methodologies in the field of Artificial Intelligence (AI). The journal focuses on AI systems that are context-aware, self-adaptive, and transparent, while also exhibiting human-like traits that contribute to the evolution of General Intelligence. By publishing innovative studies, theoretical advancements, and practical applications, JAIHC aims to bridge the gap between artificial and human intelligence, fostering the development of AI that can seamlessly integrate into real-world environments and enhance human-machine interactions. The journal welcomes contributions that explore novel AI paradigms, interdisciplinary approaches, and forward-thinking strategies for creating intelligent systems capable of understanding, learning, and adapting to dynamic contexts in a manner that aligns with human cognition and behaviour.

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.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification