Knowledge Engineering Review

Aims & Scope

The Knowledge Engineering Review is committed to the development of the field of artificial intelligence and the clarification and dissemination of its methods and concepts.

KER publishes analyses - high quality surveys providing balanced but critical presentations of the primary concepts in an area; technical tutorials - detailed introductions to an area; application and country surveys, commentaries and debates; book reviews; abstracts of recent PhDs in artificial intelligence; summaries of AI-related research projects; and a popular "from the journals" section, giving the contents of current journals in theoretical and applied artificial intelligence.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2
2024	2.80

SJR (SCImago Journal Rank)

Year	Value
2024	0.688

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	73

Journal Rank

Year	Value
2024	8276

Journal Citation Indicator

Year	Value
2024	122

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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.

• Intelligent agents: theory and practice

  Citation: 3757

  Authors: Michael, Nicholas R.

• Ontologies: principles, methods and applications

  Citation: 2020

  Authors: Mike, Michael

• Software agents: an overview

  Citation: 786

  Authors: Hyacinth S.

• Ontology mapping: the state of the art

  Citation: 676

  Authors: YANNIS, MARCO

• The Enterprise Ontology

  Citation: 468

  Authors: MIKE, MARTIN, STUART, YANNIS

• One-class classification: taxonomy of study and review of techniques

  Citation: 462

  Authors: Shehroz S., Michael G.

• An ontology for context-aware pervasive computing environments

  Citation: 445

  Authors: HARRY, TIM, ANUPAM

• Trust in multi-agent systems

  Citation: 410

  Authors: SARVAPALI D., DONG, NICHOLAS R.

• A survey of multi-agent organizational paradigms

  Citation: 410

  Authors: BRYAN, VICTOR

• Case-based reasoning: A review

  Citation: 401

  Authors: Ian, Farhi

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