Inteligencia Artificial

Aims & Scope

Inteligencia Artificial is a quarterly journal promoted and sponsored by the Spanish Association for Artificial Intelligence.

The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence.

The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence.

Particularly, the Journal welcomes: New approaches, techniques or methods to solve AI problems, which should include demonstrations of effectiveness oor improvement over existing methods.

These demonstrations must be reproducible.

Integration of different technologies or approaches to solve wide problems or belonging different areas.

AI applications, which should describe in detail the problem or the scenario and the proposed solution, emphasizing its novelty and present a evaluation of the AI techniques that are applied.

In addition to rapid publication and dissemination of unsolicited contributions, the journal is also committed to producing monographs, surveys or special issues on topics, methods or techniques of special relevance to the AI community.

Inteligencia Artificial welcomes submissions written in English, Spaninsh or Portuguese.

But at least, a title, summary and keywords in english should be included in each contribution.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Apc url
• License

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

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.

• Planning and Scheduling in Additive Manufacturing

  Citation: 47

  Authors: Filip, Maxwell, Mathias

• A survey on plant disease prediction using machine learning and deep learning techniques

  Citation: 31

  Authors: UshaDevi, Gokulnath

• Variable Neighbourhood Search

  Citation: 22

  Authors: P., N., J.A.

• Multi-mode resource constrained project scheduling: scheduling schemes, priority rules and mode selection rules.

  Citation: 19

  Authors: A., P., F.

• Hybrid Bees Algorithm with Grasshopper Optimization Algorithm for Optimal Deployment of Wireless Sensor Networks

  Citation: 18

  Authors: Hicham, Fatima

• AntNet: Routing Algorithm for Data Networks based on Mobile Agents

  Citation: 18

  Authors: B., R.

• Temporal Fusion Approach for Video Classification with Convolutional and LSTM Neural Networks Applied to Violence Detection

  Citation: 17

  Authors:

• A Transfer Learning-based Approach to Predict the Shelf life of Fruit

  Citation: 17

  Authors: Varsha, Arun

• AWSC: An approach to Web service classification based on machine learning techniques

  Citation: 15

  Authors: M., A., M.

• Hybrid Adaptive Computational Intelligence-based Multisensor Data Fusion applied to real-time UAV autonomous navigation

  Citation: 15

  Authors: Ângelo De Carvalho, Lamartine Nogueira Frutuoso, Elcio Hideiti