International Journal on Artificial Intelligence Tools

Aims & Scope

The International Journal on Artificial Intelligence Tools (IJAIT) provides an interdisciplinary forum in which AI scientists and professionals can share their research results and report new advances on AI tools or tools that use AI.

Tools refer to architectures, languages or algorithms, which constitute the means connecting theory with applications.

So, IJAIT is a medium for promoting general and/or special purpose tools, which are very important for the evolution of science and manipulation of knowledge.

IJAIT can also be used as a test ground for new AI tools.

Topics covered by IJAIT include but are not limited to: AI in Bioinformatics, AI for Service Engineering, AI for Software Engineering, AI for Ubiquitous Computing, AI for Web Intelligence Applications, AI Parallel Processing Tools (hardware/software), AI Programming Languages, AI Tools for CAD and VLSI Analysis/Design/Testing, AI Tools for Computer Vision and Speech Understanding, AI Tools for Multimedia, Cognitive Informatics, Data Mining and Machine Learning Tools, Heuristic and AI Planning Strategies and Tools, Image Understanding, Integrated/Hybrid AI Approaches, Intelligent System Architectures, Knowledge-Based/Expert Systems, Knowledge Management and Processing Tools, Knowledge Representation Languages, Natural Language Understanding, Neural Networks for AI, Object-Oriented Programming for AI, Reasoning and Evolution of Knowledge Bases, Self-Healing and Autonomous Systems, and Software Engineering for AI.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1
2024	1.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.296

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	41

Journal Rank

Year	Value
2024	16784

Journal Citation Indicator

Year	Value
2024	383

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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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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.

• KEYWORD EXTRACTION FROM A SINGLE DOCUMENT USING WORD CO-OCCURRENCE STATISTICAL INFORMATION

  Citation: 475

  Authors: Y., M.

• ARAUCARIA: SOFTWARE FOR ARGUMENT ANALYSIS, DIAGRAMMING AND REPRESENTATION

  Citation: 212

  Authors: CHRIS, GLENN

• A LANGUAGE AND ENVIRONMENT FOR ANALYSIS OF DYNAMICS BY SIMULATION

  Citation: 154

  Authors: TIBOR, CATHOLIJN M., LOURENS, JAN

• A Metaheuristic for the Pickup and Delivery Problem with Time Windows

  Citation: 138

  Authors: Haibing, Andrew

• Computing with Bees: Attacking Complex Transportation Engineering Problems

  Citation: 135

  Authors: Panta, Dušan

• THE PARETO DIFFERENTIAL EVOLUTION ALGORITHM

  Citation: 133

  Authors: H. A., R.

• Simulated Annealing, Its Variants and Engineering Applications

  Citation: 119

  Authors: Nazmul, Hojjat

• B-COURSE: A WEB-BASED TOOL FOR BAYESIAN AND CAUSAL DATA ANALYSIS

  Citation: 107

  Authors: PETRI, TOMI, HENRY, PEKKA

• EXTRACTING WEB USER PROFILES USING RELATIONAL COMPETITIVE FUZZY CLUSTERING

  Citation: 90

  Authors: OLFA, HICHEM, RAGHU, ANUPAM

• On the Glucose SAT Solver

  Citation: 89

  Authors: Gilles, Laurent

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