Journal of Time Series Analysis

SJR Rank #5,370H-index: 64SJR: 0.945Best quartile: Q1APC: US$3,510
Journal website: aims, scope and author guidelines
Publisher

Wiley-Blackwell

Country

United States

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Applied MathematicsQ1
  • Statistics and ProbabilityQ1
  • Statistics, Probability and UncertaintyQ1

Areas: Decision Sciences · Mathematics

Most published research topics

Financial Risk and Volatility ModelingStatistical Methods and InferenceMonetary Policy and Economic ImpactComplex Systems and Time Series AnalysisAdvanced Statistical Methods and ModelsMarket Dynamics and VolatilityControl Systems and IdentificationForecasting Techniques and ApplicationsStochastic processes and financial applicationsStatistical Distribution Estimation and Applications

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs03570105140

Documents per Year

202220250306090120

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