Aims & Scope
The journal of Artificial Intelligence (AIJ) welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to, cognition and AI, automated reasoning and inference, case-based reasoning, commonsense reasoning, computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine learning, multi-agent systems, natural language processing, planning and action, and reasoning under uncertainty.
The journal reports results achieved in addition to proposals for new ways of looking at AI problems, both of which must include demonstrations of value and effectiveness.
Papers describing applications of AI are also welcome, but the focus should be on how new and novel AI methods advance performance in application areas, rather than a presentation of yet another application of conventional AI methods.
Papers on applications should describe a principled solution, emphasize its novelty, and present an indepth evaluation of the AI techniques being exploited.
Apart from regular papers, the journal also accepts Research Notes, Research Field Reviews, Position Papers, and Book Reviews (see details below).
The journal will also consider summary papers that describe challenges and competitions from various areas of AI.
Such papers should motivate and describe the competition design as well as report and interpret competition results, with an emphasis on insights that are of value beyond the competition (series) itself.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 4.6 |
SJR (SCImago Journal Rank)
Year | Value |
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2024 | 1.836 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Social Sciences, designed to support cutting-edge academic discovery.
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.
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Explanation in artificial intelligence: Insights from the social sciences
Citation: 2944
Authors: Tim
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On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games
Citation: 2388
Authors: Phan Minh
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Strips: A new approach to the application of theorem proving to problem solving
Citation: 2352
Authors: Richard E., Nils J.
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Selection of relevant features and examples in machine learning
Citation: 2260
Authors: Avrim L., Pat
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Planning and acting in partially observable stochastic domains
Citation: 2206
Authors: Leslie Pack, Michael L., Anthony R.
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Solving the multiple instance problem with axis-parallel rectangles
Citation: 1944
Authors: Thomas G., Richard H., Tomás