Journal of Time Series Analysis
Wiley-Blackwell
United States
journal
SJR by Edition
Subject Categories
- Applied MathematicsQ1
- Statistics and ProbabilityQ1
- Statistics, Probability and UncertaintyQ1
Areas: Decision Sciences · Mathematics
Most published research topics
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
0143-9782, 1467-9892
SJR Best Quartile
Q1
Region
Northern America
Citations per Document (2 years)
1.27
References per Document
38.63
Coverage
1980-2026
Scope
During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic forecasting, study of biological data, control systems, signal processing and communications and vibrations engineering. The Journal of Time Series Analysis started in 1980, has since become the leading journal in its field, publishing papers on both fundamental theory and applications, as well as review papers dealing with recent advances in major areas of the subject and short communications on theoretical developments. The editorial board consists of many of the world's leading experts in Time Series Analysis.
Metrics from SCImago Journal Rank 2025. View on SCImago