Intelligent Decision Technologies - IOS Press | 2024 Impact Factor:0.8 | Cite Score:1.4 | Q3

Cite Score and Journal Rank of Intelligent Decision Technologies

• About: Intelligent Decision Technologies Journal is a peer-reviewed academic journal that focuses on the development and application of intelligent decision-making systems and technologies. It covers a broad range of topics including artificial intelligence, machine learning, decision support systems, and their applications in various domains such as business, healthcare, and engineering. The journal aims to publish high-quality research that advances the understanding and application of intelligent technologies in decision-making processes.
• Objective
  The primary objective of the Intelligent Decision Technologies Journal is to advance the field of intelligent decision-making by presenting innovative research that explores new methodologies, technologies, and applications. The journal seeks to provide insights into the development of intelligent systems that support and enhance decision-making processes, contributing to both theoretical advancements and practical solutions in this area.
• Interdisciplinary Approach
  The journal embraces an interdisciplinary approach by integrating research from various fields related to intelligent decision technologies. It encourages submissions that explore the intersection of artificial intelligence, machine learning, data analytics, and decision science. This approach facilitates a comprehensive understanding of how intelligent technologies can be applied across different domains to improve decision-making and problem-solving.
• Impact and Significance
  Intelligent Decision Technologies Journal has a significant impact on both academic research and practical applications in the field of intelligent decision-making. The journals articles contribute to the development of new technologies, methodologies, and frameworks that influence how decisions are made in various contexts. Its significance lies in providing a platform for high-quality research that drives innovation and advances the field of intelligent decision technologies.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Prof. Dr. George A. Tsihrintzis

• Scope: Intelligent Decision Technologies Journal is a peer-reviewed publication focusing on the development and application of intelligent technologies for decision-making processes. The journal aims to present cutting-edge research that enhances decision support systems and technologies, integrating advancements in artificial intelligence, data analytics, and optimization. Scope and Areas of Interest:
• Decision Support Systems (DSS):
  Research on the design, development, and evaluation of decision support systems.
  Studies on methodologies and technologies that improve decision-making processes.
  Exploration of case studies and applications of DSS in various industries.
• Artificial Intelligence (AI) in Decision Making:
  Research on the application of AI techniques, including machine learning and neural networks, for decision support.
  Studies on intelligent algorithms and their impact on decision-making quality.
  Exploration of AI-driven approaches for solving complex decision problems.
• Data Analytics and Decision Making:
  Research on techniques for data analysis that support decision-making.
  Studies on the integration of big data and analytics into decision support systems.
  Exploration of data visualization and interpretation methods for effective decision-making.
• Optimization Methods:
  Research on optimization techniques applied to decision problems.
  Studies on algorithms and methods for finding optimal solutions in complex decision contexts.
  Exploration of the role of optimization in enhancing decision support systems.
• Knowledge Management:
  Research on the management and utilization of knowledge for decision-making.
  Studies on knowledge representation, retrieval, and application in decision support.
  Exploration of systems and technologies that facilitate knowledge sharing and decision support.
• Human-Computer Interaction (HCI) in Decision Technologies:
  Research on user interfaces and interaction techniques for decision support systems.
  Studies on improving user experience and decision-making efficiency through HCI.
  Exploration of design principles and usability testing for decision support technologies.
• Multi-Criteria Decision Analysis (MCDA):
  Research on methods and approaches for multi-criteria decision-making.
  Studies on the integration of MCDA techniques into decision support systems.
  Exploration of applications and case studies involving multiple conflicting criteria.
• Fuzzy Systems and Decision Making:
  Research on the use of fuzzy logic and systems for decision-making under uncertainty.
  Studies on fuzzy decision models and their applications in real-world scenarios.
  Exploration of techniques for handling imprecise and ambiguous information in decision support.
• Real-World Applications:
  Research on the application of intelligent decision technologies in various sectors, including business, healthcare, and finance.
  Studies on the impact of decision technologies on organizational performance and decision outcomes.
  Exploration of practical challenges and solutions in implementing intelligent decision systems.
• Decision-Making Processes and Strategies:
  Research on theories and models of decision-making processes.
  Studies on strategies for improving decision-making effectiveness and efficiency.
  Exploration of methods for evaluating and refining decision-making processes.
• 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:  1872-4981

  Electronic ISSN:  1875-8843

• Abstracting and Indexing:  Scopus

• Imapct Factor 2024:  0.8

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

• Publication Frequency:  

• H Index:  20

• Best Quartile:

  Q1:  

  Q2:  

  Q3:  Computer Vision and Pattern Recognition

  Q4:  

• Cite Score:  1.4

• SNIP:  0.426

• Journal Rank(SJR):  0.250

• Latest Articles:   Latest Articles in Intelligent Decision Technologies

• Guidelines for Authors: Intelligent Decision Technologies Author Guidelines

• Paper Submissions: Paper Submissions in Intelligent Decision Technologies

• Publisher:  IOS Press

  Country:  Netherlands

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