Intelligent Decision Technologies

Aims & Scope

A refereed international scholarly journal, Intelligent Decision Technologies (IDT) welcomes original research contributions on the fundamental concepts and applications of intelligent systems that support decision making.

Manuscripts are published on such diverse areas as artificial intelligence, fuzzy techniques, genetic algorithms, intelligent agents, multi-agent systems, cognitive science, mathematical modeling, neural systems/neural networks, computer-supported cooperative work, geographic information systems, user interface management systems, informatics, knowledge representation, applications of intelligent systems and others.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2024	0.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.250

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	20

Journal Rank

Year	Value
2024	18602

Journal Citation Indicator

Year	Value
2024	308

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Detection and classification of rice plant diseases

  Citation: 229

  Authors: Harshadkumar B., Jitesh P., Vipul K.

• Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

  Citation: 65

  Authors: Maria

• Software engineering challenges for machine learning applications: A literature review

  Citation: 59

  Authors: Fumihiro

• Fuzzy cognitive network: A general framework

  Citation: 54

  Authors: Theodoros L., Yiannis S., Manolis A.

• Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features

  Citation: 41

  Authors: P., K., K.I.

• Network intrusion detection system: A machine learning approach

  Citation: 37

  Authors: Mrutyunjaya, Ajith, Swagatam, Manas Ranjan

• Diviz: A software for modeling, processing and sharing algorithmic workflows in MCDA

  Citation: 36

  Authors: Patrick, Sébastien

• Intelligent virtual humans with autonomy and personality: State-of-the-art

  Citation: 33

  Authors: Zerrin, Nadia

• A hybrid strategy for krill herd algorithm with harmony search algorithm to improve the data clustering𝟏

  Citation: 28

  Authors: Laith Mohammad, Ahamad Tajudin, Essam Said

• Analysis of fuzzy based intelligent health care application system for the diagnosis of mental health in women with ovarian cancer using computational models

  Citation: 26

  Authors: Ashwini, Susheela

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