Journal of Safety Science and Resilience
Published by KeAi Communications Co.
ISSN : 2096-7527 eISSN : 2666-4496
Abbreviation : J. Saf. Sci. Resil.
Aims & Scope
The Journal of Safety Science and Resilience (JSSR) is a scholarly journal that publishes scientific research on the practice of safety science and resilience as well as latest improvements in the field.
This area emphasizes science and technology in natural disasters and man-made and environmental hazards, including 1) monitoring based on sensor networks, video technology, and information and communication systems; 2) early warning based on experiments, modeling, and simulation; 3) resilience analysis to improve the resilience of critical infrastructure systems and communities; 4) data analysis and the evaluation of emergent events in social networks; and 5) optimization analysis of responses to accidents and disasters.
The journal focuses primarily on original research papers, but also welcomes state-of-the-art review papers and first-hand case histories on accidents and disasters that are of special significance.
The journal also aims to be a reference and a powerful tool for all those who are professionally active and/or interested in the methods and applications of safety science and resilience.
Submitted papers will be peer-reviewed and must significantly contribute to safety and resilience in general or to specific application areas.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 3.4 |
| 2024 | 3.70 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.775 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 19 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 7076 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 509 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences, Engineering and Social Sciences, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.