Journal of Artificial Intelligence and Soft Computing Research - De Gruyter Open | 2024 Impact Factor:2.8 | Cite Score:5.6 | Q1

Impact Factor and Journal Rank of Journal of Artificial Intelligence and Soft Computing Research

• About: Journal of Artificial Intelligence and Soft Computing Research is a dynamically developing international journal available at Sciendo (De Gruyter). It focuses on publishing the latest scientific results and methods in traditional artificial intelligence (AI) methods and soft computing techniques. The journal serves as a platform for researchers, academics, and practitioners to explore and disseminate advancements in AI and soft computing.
• Focus Areas: The journal covers a wide range of topics in computer science and related disciplines, including but not limited to: Artificial Intelligence Soft Computing Techniques Computer Vision and Pattern Recognition Hardware and Architecture for AI Information Systems Mathematics and Algorithms Modeling and Simulation These focus areas reflect the journal commitment to showcasing innovative research and methodologies that advance the fields of AI and soft computing.
• Publication and Accessibility: Published by Sciendo (De Gruyter), Journal of Artificial Intelligence and Soft Computing Research ensures wide accessibility to its content, facilitating the dissemination of knowledge and advancements in AI and soft computing worldwide. The journal publishes original research articles, reviews, and case studies that contribute to the theoretical and practical aspects of AI and soft computing.
• Significance: The journal plays a crucial role in the academic community by fostering collaboration and innovation in AI and soft computing research. It provides researchers and practitioners with a platform to share their insights and discoveries, thereby influencing the development and application of AI technologies across various domains.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Â Prof. Leszek Rutkowski

• Scope: The Journal of Artificial Intelligence and Soft Computing Research, available at Sciendo (De Gruyter), is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. It provides a platform for researchers, engineers, and practitioners to publish their original research articles, reviews, and technical notes that advance the understanding and application of artificial intelligence and soft computing. Here is an overview of its key focus areas and scope:
• 1. Artificial Intelligence:
  Research on foundational AI methods, including knowledge representation, reasoning, problem-solving, and machine learning techniques.
  Studies on AI applications in various domains, such as robotics, natural language processing, and expert systems.
• 2. Soft Computing:
  Advancements in soft computing techniques, including fuzzy systems, neural networks, evolutionary computation, and swarm intelligence.
  Research on hybrid approaches integrating different soft computing paradigms for enhanced problem-solving.
• 3. Computer Vision and Pattern Recognition:
  Exploration of algorithms and methodologies for computer vision tasks, such as object detection, image classification, and scene understanding.
  Research on pattern recognition techniques for analyzing and interpreting complex data patterns.
• 4. Hardware and Architecture:
  Advancements in hardware design and architectures optimized for AI and soft computing applications.
  Studies on specialized hardware accelerators, neuromorphic computing, and energy-efficient architectures.
• 5. Information Systems:
  Research on the integration of AI and soft computing techniques in information systems, including databases, information retrieval, and decision support systems.
  Studies on AI-driven data analytics, knowledge management, and information security.
• 6. Mathematics:
  Exploration of mathematical foundations and theories underpinning AI and soft computing methodologies.
  Research on mathematical modeling, optimization algorithms, and mathematical frameworks for analyzing complex systems.
• 7. Modeling and Simulation:
  Advancements in modeling and simulation techniques applied to AI and soft computing problems.
  Studies on simulation methodologies, validation techniques, and applications in scientific and engineering domains.
• Latest Research Topics for PhD in Machine Learning
• Latest Research Topics for PhD in Artificial Intelligence
• Latest Research Topics for PhD in Data Mining

• Print ISSN:  20832567

  Electronic ISSN:  24496499

• Abstracting and Indexing:  Science Citation Index Expanded, Scopus

• Imapct Factor 2024:  2.8

• Subject Area and Category:   Computer Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Information Systems, Mathematics, Modeling and Simulation

• Publication Frequency:  Quarterly

• H Index:  29

• Best Quartile:

  Q1:  Computer Vision and Pattern Recognition

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  5.6

• SNIP:  0.712

• Journal Rank(SJR):  0.483

• Latest Articles:   Latest Articles in Journal of Artificial Intelligence and Soft Computing Research

• Guidelines for Authors: Journal of Artificial Intelligence and Soft Computing Research Author Guidelines

• Paper Submissions: Paper Submissions in Journal of Artificial Intelligence and Soft Computing Research

• Publisher:  De Gruyter Open Ltd.

  Country:  Poland

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