Probability Uncertainty and Quantitative Risk
metrics 2024
Bridging Theory and Practice in Quantitative Risk
Introduction
Probability Uncertainty and Quantitative Risk, published by the American Institute of Mathematical Sciences (AIMS), is a distinguished open-access journal that has been contributing to the academic community since its inception in 2016. With a focus on the crucial interplay between probability, uncertainty, and quantitative risk assessment, this journal serves as a vital platform for researchers, practitioners, and students engaged in the fields of Applied Mathematics and Statistics. The journal's ranking in the Q2 category for both Applied Mathematics and Statistics and Probability reflects its growing influence and relevance, while its diverse scope encourages interdisciplinary studies. As a part of the Scopus database and maintaining a consistent publication pace through 2024, Probability Uncertainty and Quantitative Risk is essential for anyone looking to remain at the forefront of research in risk analysis and uncertainty modeling. Its commitment to open access since 2016 further enhances accessibility to cutting-edge findings, making it an indispensable resource for academics and industry professionals alike.
Metrics 2024
Metrics History
Rank 2024
Scopus
IF (Web Of Science)
JCI (Web Of Science)
Quartile History
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