Intelligenza Artificiale

Aims & Scope

Intelligenza Artificiale is the official journal of the Italian Association for Artificial Intelligence (AIxIA).

Intelligenza Artificiale publishes rigorously reviewed articles (in English) in all areas of Artificial Intelligence, with a special attention to original contributions.

It will also publish assessments of the state of the art in various areas of AI, and innovative system descriptions with appropriate evaluation.

The Editor-in-Chief welcomes proposals for special issues, book reviews, conference reports and news items of interest to the AI research community.

Intelligenza Artificiale is an international journal and welcomes submissions from every country.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.4
2024	1.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.430

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	9

Journal Rank

Year	Value
2024	13119

Journal Citation Indicator

Year	Value
2024	79

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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.

• Federated transfer learning: Concept and applications

  Citation: 82

  Authors: Sudipan, Tahir

• On the integration of symbolic and sub-symbolic techniques for XAI: A survey

  Citation: 55

  Authors: Roberta, Giovanni, Andrea

• I-DLV: The new intelligent grounder of DLV

  Citation: 43

  Authors: Francesco, Davide, Simona, Jessica

• From tags to emotions: Ontology-driven sentiment analysis in the social semantic web

  Citation: 41

  Authors: Matteo, Cristina, Viviana, Paolo

• A simulation model for non-signalized pedestrian crosswalks based on evidence from on field observation

  Citation: 31

  Authors: Claudio, Luca, Andrea, Giuseppe, Stefania, Katsuhiro

• Route choice in pedestrian simulation: Design and evaluation of a model based on empirical observations

  Citation: 22

  Authors: Luca, Giuseppe, Daichi, Katsuhiro, Stefania

• Evolutionary ANNs: A state of the art survey

  Citation: 16

  Authors: Antonia, Andrea G.B.

• When reactive agents are not enough: Tactical level decisions in pedestrian simulation

  Citation: 15

  Authors: Luca, Andrea, Giuseppe, Stefania

• Prioritized multi-criteria federated learning

  Citation: 14

  Authors: Vito Walter, Yashar, Tommaso, Antonio

• cplint on SWISH: Probabilistic Logical Inference with a Web Browser

  Citation: 14

  Authors: Marco, Elena, Giuseppe, Fabrizio, Riccardo

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