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Sistemi Intelligenti - Il Mulino publishing house | 2024 Cite Score:0.5 | Q3

Sistemi Intelligenti Journal With Cite Score

Cite Score and Journal Rank of Sistemi Intelligenti

  • About: Sistemi Intelligenti is an academic journal that focuses on the study and development of intelligent systems, covering various aspects of artificial intelligence, cognitive science, and related fields.
  • Objective: The journal aims to promote the understanding and advancement of intelligent systems by publishing high-quality research that addresses theoretical, methodological, and practical aspects of artificial intelligence and cognitive science. It seeks to bridge the gap between different disciplines by exploring how intelligent systems can be modeled, developed, and applied in various contexts.
  • Interdisciplinary Approach: Sistemi Intelligenti adopts an interdisciplinary approach, bringing together research from fields such as artificial intelligence, cognitive science, robotics, linguistics, psychology, and philosophy. This approach encourages collaboration and integration of diverse perspectives, leading to a more comprehensive understanding of intelligent systems and their potential applications.
  • Impact and Significance: The journal is significant for its contributions to the growing field of intelligent systems. By providing a platform for cutting-edge research, it influences both the academic community and industry practices. The insights and innovations published in Sistemi Intelligenti help shape the future of intelligent systems, offering solutions to complex problems and advancing the development of AI technologies.

  • Editor-in-Chief:  Fabio Paglieri

  • Scope: The Sistemi Intelligenti journal is an interdisciplinary publication that focuses on the study and development of intelligent systems. It serves as a platform for sharing research, theories, and applications related to artificial intelligence (AI) and cognitive sciences. The journal encourages the exchange of ideas among researchers, academics, and professionals involved in AI and related fields.
    1. Artificial Intelligence (AI): Research on AI methodologies, algorithms, and systems, including machine learning, neural networks, natural language processing, and robotics.
  • 2. Cognitive Science: Studies exploring the relationship between AI and cognitive processes, such as perception, memory, learning, and problem-solving.
  • 3. Intelligent Systems: Development and analysis of systems that exhibit intelligent behavior, including autonomous agents, expert systems, and decision support systems.
  • 4. Human-Computer Interaction (HCI): Research on the interaction between humans and intelligent systems, including user interfaces, usability, and adaptive systems.
  • 5. Knowledge Representation and Reasoning: Studies on the methods for representing knowledge in AI systems and the logical reasoning processes used to infer new knowledge.
  • 6. Computational Intelligence: Exploration of computational approaches to intelligence, including evolutionary algorithms, fuzzy logic, and swarm intelligence.
  • 7. Robotics and Autonomous Systems: Research on intelligent robots and systems that can operate autonomously, including navigation, perception, and decision-making.
  • 8. AI Ethics and Philosophy: Discussions on the ethical implications of AI technologies, including issues related to privacy, accountability, and the societal impact of intelligent systems.
  • 9. Multi-Agent Systems: Studies on systems composed of multiple interacting agents, including coordination, cooperation, and communication among agents.
  • 10. AI in Industry and Society: Applications of AI in various sectors, such as healthcare, finance, education, and transportation, as well as the impact of AI on society and industry.
  • 11. Theoretical Foundations of AI: Research on the mathematical and logical foundations of AI, including theories of computation, complexity, and learning.
  • 12. Cognitive Robotics: Studies on robots that can perform tasks requiring cognitive abilities, such as understanding and responding to human language and emotions.
  • 13. Natural Language Processing (NLP): Research on the computational processing of human languages, including speech recognition, text analysis, and language generation.
  • 14. AI and Creativity: Exploration of the role of AI in creative processes, including art, music, and literature.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  11209550

    Electronic ISSN:   19738226

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Arts and Humanities, Language and Linguistics, Computer Science, Artificial Intelligence Neuroscience Cognitive Neuroscience Psychology Experimental and Cognitive Psychology Social Sciences Linguistics and Language

  • Publication Frequency:  monthly

  • H Index:  9

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Linguistics and Language

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  • Cite Score:  0.5

  • SNIP:  0.232

  • Journal Rank(SJR):  0.141