Journal of Experimental and Theoretical Artificial Intelligence

Aims & Scope

Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research.

The journal features work in all subfields of AI research and accepts both theoretical and applied research.

Topics covered include, but are not limited to, the following: • cognitive science • games • learning • knowledge representation • memory and neural system modelling • perception • problem-solving

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.7
2024	1.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.535

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	55

Journal Rank

Year	Value
2024	10860

Journal Citation Indicator

Year	Value
2024	542

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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 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.

• A new bio-inspired optimisation algorithm: Bird Swarm Algorithm

  Citation: 398

  Authors: Xian-Bing, X.Z., Lihua, Yu, Hengzhen

• Modelling and experimental performance analysis of solar-assisted ground source heat pump system

  Citation: 365

  Authors: Hikmet, Mehmet, Onur

• Comparing performance of algorithms for generating concept lattices

  Citation: 321

  Authors: Sergei O., Sergei A.

• Metaheuristics: review and application

  Citation: 270

  Authors: Anupriya, Akash

• Parameter selection in particle swarm optimisation: a survey

  Citation: 258

  Authors: A., J.

• Representational content in humans and machines

  Citation: 247

  Authors: MARK H.

• Prolegomena to any future artificial moral agent

  Citation: 239

  Authors: Colin, Gary, Jason

• Experiences with an architecture for intelligent, reactive agents

  Citation: 226

  Authors: R., R., Erann, David, David P., Mark G.

• Behaviour-based control: examples from navigation, learning, and group behaviour

  Citation: 203

  Authors: Maja J.

• Distribution-balanced stratified cross-validation for accuracy estimation

  Citation: 196

  Authors: Xinchuan, Tony R.

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