International Journal of Information Technology and Decision Making

Aims & Scope

International Journal of Information Technology and Decision Making (IJITDM) provides a global forum for exchanging research findings and case studies which bridge the latest information technology and various decision-making techniques.

It promotes how information technology improves decision techniques as well as how the development of decision-making tools affects the information technology era.

The journal is peer-reviewed and publishes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of information technology related topics including, but not limited to the following: • Artificial Intelligence and Decision Making • Bio-informatics and Medical Decision Making • Cluster Computing and Performance • Data Mining and Web Mining • Data Warehouse and Applications • Database Performance Evaluation • Decision Making and Distributed Systems • Decision Making and Electronic Transaction and Payment • Decision Making of Internet Companies • Decision Making on Information Security • Decision Models for Electronic Commerce • Decision Models for Internet Based on Companies • Decision Support Systems • Decision Technologies in Information System Design • Digital Library Designs • Economic Decisions and Information Systems • Enterprise Computing and Evaluation • Fuzzy Logic and Internet • Group Decision Making and Software • Habitual Domain and Information Technology • Human Computer Interaction • Information Ethics and Legal Evaluations • Information Overload • Information Policy Making • Information Retrieval Systems • Information Technology and Organizational Behavior • Intelligent Agents Technologies • Intelligent and Fuzzy Information Processing • Internet Service and Training • Knowledge Representation Models • Making Decision through Internet • Multimedia and Decision Making [...]

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.8
2024	2.50

Journal Rank

Year	Value
2024	12029

Journal Citation Indicator

Year	Value
2024	612

SJR (SCImago Journal Rank)

Year	Value
2024	0.478

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	57

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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, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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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.

• 10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

  Citation: 672

  Authors: QIANG, XINDONG

• EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION

  Citation: 514

  Authors: GANG, YANQUN, YI, YONG

• Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015

  Citation: 381

  Authors: Edmundas Kazimieras, Abbas, Zenonas, Ahmad, Khalil MD

• A DESCRIPTIVE FRAMEWORK FOR THE FIELD OF DATA MINING AND KNOWLEDGE DISCOVERY

  Citation: 269

  Authors: YI, GANG, YONG, ZHENGXIN

• Integrated Determination of Objective Criteria Weights in MCDM

  Citation: 262

  Authors: Edmundas Kazimieras, Valentinas

• A Hybrid Method for Pythagorean Fuzzy Multiple-Criteria Decision Making

  Citation: 239

  Authors: Shouzhen, Jianping, Xingsen

• MACBETH

  Citation: 224

  Authors: CARLOS A., JEAN-MARIE, JEAN-CLAUDE

• MULTIPLICATIVE CONSISTENCY OF HESITANT FUZZY PREFERENCE RELATION AND ITS APPLICATION IN GROUP DECISION MAKING

  Citation: 220

  Authors: HUCHANG, ZESHUI, MEIMEI

• PROJECTION MODELS FOR INTUITIONISTIC FUZZY MULTIPLE ATTRIBUTE DECISION MAKING

  Citation: 212

  Authors: ZESHUI, HUI

• A CONSENSUS MODEL FOR GROUP DECISION MAKING PROBLEMS WITH UNBALANCED FUZZY LINGUISTIC INFORMATION

  Citation: 211

  Authors: F. J., S., E.

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