Journal of Causal Inference
metrics 2024
Pioneering innovative methodologies in causal inference.
Introduction
The Journal of Causal Inference, published by DE GRUYTER POLAND SP Z O O, is an esteemed academic journal dedicated to advancing the field of causal analysis within statistics and probability. Since transitioning to an Open Access model in 2020, the journal has encouraged widespread dissemination of research findings and fostered collaborative inquiry among scholars globally. Situated in Germany, the journal serves as a vital resource for researchers and professionals looking to explore innovative methodologies and applications in causal inference. With an impressive Q2 ranking in both the Statistics and Probability and Statistics, Probability and Uncertainty categories for 2023, it provides a prestigious platform for impactful contributions that address contemporary challenges in these domains. The journal, which has a convergence period from 2018 to 2024, actively promotes rigorous peer-reviewed research that pushes the boundaries of understanding in this critical area of study, aiming to provide fruitful insights for academics, practitioners, and students alike.
Metrics 2024
Metrics History
Rank 2024
Scopus
IF (Web Of Science)
JCI (Web Of Science)
Quartile History
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