VOOZH about

URL: https://link.springer.com/journal/13218?error=cookies_not_supported&code=69760b6f-5c90-48a0-8c49-c522dd2a31e8

⇱ Home | KI - Künstliche Intelligenz | Springer Nature Link


Skip to main content

Overview

KI - Künstliche Intelligenz is the official journal of the Chapter for Artificial Intelligence within the German Informatics Society, covering all aspects of artificial intelligence.

  • Presents all relevant aspects of artificial intelligence, including fundamentals, tools, scientific applications, and AI methods.
  • Provides quick access to current topics in the field and promotes vital interdisciplinary interchange.
  • Ensures scientific quality of the articles through a reputed team of editors from both university and industry.
  • Published in English and includes peer-reviewed content.
Editor-in-Chief
  • Lars Kunze

Journal metrics

Journal Impact Factor
3.6 (2024)
5-year Journal Impact Factor
3.7 (2024)
Submission to first decision (median)
18 days
Downloads
249.2k (2025)

Calls for papers

Collection

Special Issue: AI for Science (AI4Science)

This special issue aims to strengthen AI4Science as a rigorous, scalable, and reproducible discipline, fostering collaboration between applied...

Status
Open for submissions
Submission deadline
15 July 2026

Collection

Special Issue: AI and Digital Twins

Digital twins are software systems that tightly integrate representations of assets via models and runtime data as well as predictions,...

Status
Open for submissions
Submission deadline
30 June 2026

Latest issue

AI and the Energy Sector (eAI)

Latest articles

Journal updates

  • CfP Special Issue: AI for Precision Medicine

    Personalized Precision Medicine takes into account individual differences in genetics, physiology, environment and lifestyle of patients with the aim of finding the most targeted strategy to treat or prevent a disease while minimizing unwanted side effects. Personalized Precision Medicine is based on Artificial Intelligence methods that distill such therapy recommendations from a patient's molecular characteristics and explain them to the treating physician and also to the patient (XAI). In this way, we are building a bridge from computer science, data science and HPC to medicine, preclinical medicine and biochemistry.

    Submission is closed. The issue is available here.

Journal information

Electronic ISSN
1610-1987
Print ISSN
0933-1875
Abstracted and indexed in
  1. Baidu
  2. CLOCKSS
  3. CNKI
  4. CNPIEC
  5. Chinese Academy of Medical Science (CAMS)
  6. DBLP
  7. Dimensions
  8. EBSCO
  9. EI Compendex
  10. Emerging Sources Citation Index
  11. Google Scholar
  12. Japanese Science and Technology Agency (JST)
  13. Naver
  14. OCLC WorldCat Discovery Service
  15. Ovid Discovery
  16. Portico
  17. ProQuest
  18. SCImago
  19. SCOPUS
  20. TD Net Discovery Service
  21. Wanfang
  22. eLibrary.ru
© Gesellschaft für Informatik e.V.

Journal navigation