Journal of Causal Inference
Walter de Gruyter GmbH
Germany
journal
SJR by Edition
Subject Categories
- 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
2193-3685, 2193-3677
SJR Best Quartile
Q1
Region
Western Europe
Citations per Document (2 years)
2.52
References per Document
51.00
Coverage
2018-2026
Scope
JCI publishes papers on theoretical and applied causal research across the range of academic disciplines that use quantitative tools to study causality. The past two decades have seen causal inference emerge as a unified field with a solid theoretical foundation, useful in many of the empirical and behavioral sciences. Journal of Causal Inference aims to provide a common venue for researchers working on causal inference in biostatistics and epidemiology, economics, political science and public policy, cognitive science and formal logic, and any field that aims to understand causality. The journal serves as a forum for this growing community to develop a shared language and study the commonalities and distinct strengths of their various disciplines' methods for causal analysis.
Metrics from SCImago Journal Rank 2025. View on SCImago