Artificial Intelligence Review
Published by Springer Nature
ISSN : 0269-2821 eISSN : 1573-7462
Abbreviation : Artif. Intell. Rev.
Aims & Scope
Artificial Intelligence Review serves as a forum for the work of researchers and application developers from Artificial Intelligence, Cognitive Science and related disciplines.
The Review publishes state-of-the-art research reports and critical evaluations of applications, techniques and algorithms from these fields.
Artificial Intelligence Review also presents refereed survey and tutorial articles, as well as reviews and commentary on significant developments from these disciplines.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 13.9 |
2024 | 10.70 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 3.010 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
Journal Rank
Year | Value |
---|---|
2024 | 710 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 15730 |
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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A survey of the recent architectures of deep convolutional neural networks
Citation: 2134
Authors: Asifullah, Anabia, Umme, Aqsa Saeed
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A comparative analysis of gradient boosting algorithms
Citation: 1724
Authors: Candice, Anna, Gonzalo
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A comprehensive survey: artificial bee colony (ABC) algorithm and applications
Citation: 1411
Authors: Dervis, Beyza, Celal, Nurhan
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Machine learning: a review of classification and combining techniques
Citation: 1178
Authors: S. B., I. D., P. E.
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Vision based hand gesture recognition for human computer interaction: a survey
Citation: 1170
Authors: Siddharth S., Anupam