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Discover Artificial Intelligence - Springer Nature | 2024 CIte Score: 6.0 | Q1

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Discover Artificial Intelligence - Springer Nature | 2024 CIte Score: 6.0 | Q1

  • About this Journal:
  • Discover Artificial Intelligence is an international open-access journal published by Springer Nature that covers the full spectrum of artificial intelligence research, development, and application.Discover Artificial Intelligence is a transdisciplinary journal that publishes papers on all aspects of the theory, methodology and applications of artificial intelligence (AI). Discover Artificial Intelligence covers both the theory and the applications of AI in areas such as industry, healthcare and medical diagnostics, transport, agriculture, education, and economics. It also covers AI as it relates to machine and deep learning, data analytics, knowledge reasoning and discovery, natural language processing, computer vision, robotics, as well as social sciences, ethics, legal issues and regulation. We welcome research that proposes new ways of looking at AI problems and applications and demonstrates the value and the effectiveness of their implementation in modern society.
  • The journal aims to provide a platform for interdisciplinary research that advances AI theory, algorithms, methodologies, and real-world implementations.
  • It emphasizes both foundational and applied aspects of AI, including machine learning, cognitive computing, robotics, and intelligent systems.It is expected that the applications of AI will transform our world in the future and impact all facets of society, economy, living, working, healthcare and technology. Discover Artificial Intelligence will be a key forum for the publication of this crucial research. It is also intended that articles published in Discover Artificial Intelligence may help to support and accelerate United Nations Sustainable Development Goal 9 Industry, Innovation and Infrastructure by helping to build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation.
  • Discover Artificial Intelligence encourages contributions that address ethical, societal, and human-centered dimensions of AI technology.

  • Editor-in-Chief:  Yina Liu MSc

  • Print ISSN:  27310809

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Information Systems

  • Publication Frequency:  

  • H Index:  15

  • Best Quartile:

    Q1:  Artificial Intelligence

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  6.0

  • SNIP:  2.157

  • Journal Rank(SJR):  0.876