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Journal of Progress in Artificial Intelligence

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SCOPE OF THE JOURNAL

This journal publishes top-level research across all aspects of artificial intelligence. Its scope encompasses the full breadth of AI theory, methodologies, and applications, including but not limited to: data mining; soft computing and computational intelligence; knowledge, complexity, logic, planning, reasoning, and search; agents and multi-agent systems; artificial vision and robotics; and natural language and Web intelligence.

In addition, the journal welcomes cutting-edge AI research applied to science, nature, business, and industry, health care, medical diagnostics, clinical decision support, spanning areas such as scientific discovery, environmental and ecological modeling, biomedical and physical sciences, finance and economics, organizational decision-making, and AI-driven innovation across all sectors.

  • Data mining
  • Soft computing & computational intelligence
  • Knowledge, complexity, logic, planning, reasoning, search
  • Agents & multi-agent systems
  • Artificial vision & robotics
  • Natural language processing & Web intelligence
  • Science and scientific discovery
  • Environmental and ecological modeling
  • Biomedical and physical sciences
  • Healthcare, medical diagnostics, and clinical decision support
  • Finance, economics, and business applications
  • Organizational decision-making
  • Cross-sector AI-driven innovation

Editors-in-Chief

Sebastian Ventura


Journal metrics
Journal Cite Score:
2.45
Journal Impact Factor:
4.3
Average acceptance time:
7–25 days
Average article processing time:
10–20 days
Journal H-Index:
8
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Journal information

Abstracted and indexed in

    Scopus
  • Google Scholar
    Scopus
  • DOI
    Scopus
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