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Applied Network Science

Publishing model:
Open access

Overview

Applied Network Science is an open access journal focusing on network sciences, related techniques, and innovative modeling approaches.

  • Encompasses all fields that benefit from quantitative network-based modeling.
  • Considers contributions from all areas of science, technology, medicine, and humanities.
  • Emphasizes on articles with direct applications to real-world problems.
  • Encourages novel or anticipated applications of network science and related methodologies.

Editors-in-Chief
  • Sabrina Gaito PhD
  • Ronaldo Menezes PhD

Journal metrics

Journal Impact Factor
1.5 (2024)
5-year Journal Impact Factor
2.1 (2024)
Submission to first decision (median)
14 days
Downloads
787.7k (2025)

Calls for papers

Latest articles

Journal updates

Journal information

Electronic ISSN
2364-8228
Abstracted and indexed in
  1. ANVUR
  2. Baidu
  3. CLOCKSS
  4. CNKI
  5. CNPIEC
  6. Chinese Academy of Medical Science (CAMS)
  7. DBLP
  8. DOAJ
  9. Dimensions
  10. EBSCO
  11. EI Compendex
  12. Emerging Sources Citation Index
  13. Gale
  14. GoOA - The Chinese Academy of Sciences (CAS)
  15. Google Scholar
  16. INSPEC
  17. Japanese Science and Technology Agency (JST)
  18. Naver
  19. Norwegian Register for Scientific Journals and Series
  20. OCLC WorldCat Discovery Service
  21. Ovid Discovery
  22. Portico
  23. ProQuest
  24. SCImago
  25. SCOPUS
  26. TD Net Discovery Service
  27. Wanfang
  28. eLibrary.ru
© Springer Nature Switzerland AG

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