KI - Kunstliche Intelligenz

Aims & Scope

Artificial Intelligence has successfully established itself as a scientific discipline in research and education and has become an integral part of Computer Science with an interdisciplinary character.

AI deals with both the development of information processing systems that deliver “intelligent” services and with the modeling of human cognitive skills with the help of information processing systems.

Research, development and applications in the field of AI pursue the general goal of creating processes for taking in and processing information that more closely resemble human problem-solving behavior, and to subsequently use those processes to derive methods that enhance and qualitatively improve conventional information processing systems.

KI – Künstliche Intelligenz is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society – with contributions from the entire field of artificial intelligence.

The journal presents fundamentals and tools, their use and adaptation for scientific purposes, and applications that are implemented using AI methods – and thus provides readers with the latest developments in and well-founded background information on all relevant aspects of artificial intelligence.

A highly reputed team of editors from both university and industry will ensure the scientific quality of the articles.

The journal provides all members of the AI community with quick access to current topics in the field, while also promoting vital interdisciplinary interchange, it will as well serve as a media of communication between the members of the division and the parent society.

The journal is published in English.

Content published in this journal is peer reviewed (Double Blind).

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.6
2024	2.80

SJR (SCImago Journal Rank)

Year	Value
2024	0.522

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	34

Journal Rank

Year	Value
2024	11145

Journal Citation Indicator

Year	Value
2024	388

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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.

• Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments

  Citation: 518

  Authors: Radu Bogdan

• Reservoir Computing Trends

  Citation: 309

  Authors: Mantas, Herbert, Benjamin

• Measuring the Quality of Explanations: The System Causability Scale (SCS)

  Citation: 267

  Authors: Andreas, André, Heimo

• Assessing the Attitude Towards Artificial Intelligence: Introduction of a Short Measure in German, Chinese, and English Language

  Citation: 201

  Authors: Cornelia, Peng, Min, Jennifer, Helena S., Mei, Rayna, Maria, Benjamin, Christian

• Beyond Manual Tuning of Hyperparameters

  Citation: 153

  Authors: Frank, Jörg, Lars

• One Explanation Does Not Fit All

  Citation: 118

  Authors: Kacper, Peter

• Contextualizing AI Education for K-12 Students to Enhance Their Learning of AI Literacy Through Culturally Responsive Approaches

  Citation: 114

  Authors: Amy, Hiroyuki, Yumiko

• An Introduction to Hyperdimensional Computing for Robotics

  Citation: 78

  Authors: Peer, Stefan, Peter

• Deep Learning

  Citation: 71

  Authors: Hannes, Sven

• Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory

  Citation: 70

  Authors: Jana-Rebecca, Nijat, Peter

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