Progress in Artificial Intelligence

Aims & Scope

This journal publishes top-level research results in all aspects of artificial intelligence, with a particular emphasis on the following topics: data mining; soft computing and computational intelligence; knowledge, complexity, logic, planning, reasoning and search; agents and multiagent systems; artificial vision and robotics; and natural language and Web intelligence.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	2.4
2024	2.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.476

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	32

Journal Rank

Year	Value
2024	12081

Journal Citation Indicator

Year	Value
2024	310

---

---

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

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, 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.

• Learning from imbalanced data: open challenges and future directions

  Citation: 1854

  Authors: Bartosz

• Convolutional neural network: a review of models, methodologies and applications to object detection

  Citation: 894

  Authors: Anamika, Gyanendra K.

• Learning from streaming data with concept drift and imbalance: an overview

  Citation: 220

  Authors: T. Ryan, Robi, Nitesh V.

• A survey on Bayesian network structure learning from data

  Citation: 203

  Authors: Mauro, Antonio, Fabio

• Event labeling combining ensemble detectors and background knowledge

  Citation: 197

  Authors: Hadi, Joao

• Binary relevance efficacy for multilabel classification

  Citation: 185

  Authors: Oscar, Jorge, José, Juan José, Antonio

• A comparative analysis of multi-criteria decision-making methods

  Citation: 173

  Authors: Blanca, María Teresa, David A.

• Feature selection for high-dimensional data

  Citation: 172

  Authors: Verónica, Noelia, Amparo

• A survey of methods for distributed machine learning

  Citation: 155

  Authors: Diego, Bertha

• A survey on learning from data streams: current and future trends

  Citation: 121

  Authors: João

---