Probability Uncertainty and Quantitative Risk
metrics 2024
Unveiling the Dynamics of Risk through Open Access
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
Similar Journals
Statistics & Risk Modeling
Exploring innovative methodologies for risk modeling.Statistics & Risk Modeling is a distinguished journal published by WALTER DE GRUYTER GMBH, focusing on the intricate relationships between statistical methodologies and risk assessment techniques. With a strong academic foundation, the journal has been an influential platform in its field since its inception, converging contributions from 1982 to 2002 and again from 2011 to 2024. This journal is currently ranked in the Q3 category in both Modeling and Simulation and Statistics and Probability, reflecting its commitment to advancing knowledge and promoting robust research in statistics, probability, and uncertainty analysis. Although it offers a traditional subscription model, its significant contribution to the community is underscored by its increasing visibility in Scopus rankings, where it stands in the 44th percentile for Decision Sciences and Statistics. By comprehensively addressing contemporary issues in statistical theory and its practical applications, Statistics & Risk Modeling serves as an essential resource for researchers, professionals, and students aiming to deepen their understanding of statistical science and its implications in risk management.
Mathematics and Financial Economics
Innovating Financial Strategies through Mathematical RigorMathematics and Financial Economics, published by Springer Heidelberg, is a leading peer-reviewed journal that explores the intersections of mathematical theories and financial practices. With an ISSN of 1862-9679 and an E-ISSN of 1862-9660, the journal has made notable contributions to its field since its inception in 2007, with a convergence period extending until 2024. Positioned in the prestigious Q2 category for both Finance and Statistics and Probability, the journal is ranked within the top 66th percentile in Mathematics and Statistics and the 62nd percentile in Decision Sciences according to Scopus metrics. Researchers and professionals looking for high-quality, innovative research in mathematical finance will find valuable insights within its pages. Although primarily a subscription-based journal, it aims to foster knowledge sharing among academia and industry experts. Its commitment to advancing quantitative methods and financial applications solidifies its importance as a resource for students, researchers, and practitioners dedicated to understanding and navigating the complex dynamics of financial markets.
STOCHASTIC ANALYSIS AND APPLICATIONS
Bridging theory and application in stochastic methods.STOCHASTIC ANALYSIS AND APPLICATIONS is a prestigious peer-reviewed journal published by Taylor & Francis Inc, dedicated to advancing the field of stochastic processes and their applications across various disciplines. With an ISSN of 0736-2994 and an E-ISSN of 1532-9356, this journal has established itself as a vital resource for researchers and practitioners, offering high-quality articles that address both theoretical and practical aspects of stochastic analysis. As of 2023, the journal holds a commendable Q2 rank in the fields of Applied Mathematics, Statistics and Probability, and Statistics, Probability and Uncertainty, reflecting its significant impact in these domains. The journal is indexed in Scopus and ranks in the top percentiles for its categories, making it an essential read for scholars interested in the latest developments in stochastic methods and their real-world implications. Although it does not offer open access, the journal ensures that its contents are widely disseminated within academia, fostering knowledge that drives innovation and application in various sectors.
THEORY OF PROBABILITY AND ITS APPLICATIONS
Fostering Collaboration in the World of ProbabilityTHEORY OF PROBABILITY AND ITS APPLICATIONS, published by SIAM Publications, is a crucial journal dedicated to advancing the field of probability and its extensive applications. With its ISSN 0040-585X and E-ISSN 1095-7219, this esteemed publication has been a vital resource for scholars and practitioners since its inception. Operating out of the United States, the journal has a commitment to supporting research that falls within the Q3 quartile in both Statistics and Probability, as well as in Statistics, Probability, and Uncertainty for 2023. Despite its current position in a competitive landscape, ranked #137 in Statistics, Probability and Uncertainty and #227 in Mathematics, this journal remains an essential platform for disseminating innovative ideas and breakthroughs in probability theory. Although it lacks an open-access model, its rigorous peer-reviewed articles offer invaluable insights to enhance both theoretical understanding and practical application. With a focus on fostering collaboration and inspiring future research, THEORY OF PROBABILITY AND ITS APPLICATIONS is indispensable for researchers, professionals, and students striving to delve deeper into the intricate world of probability.
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY
Advancing the frontier of applied probability and computation.METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY is a distinguished journal published by SPRINGER, dedicated to advancing research in applied probability and its relationship with various computational methodologies. With an ISSN of 1387-5841 and an E-ISSN of 1573-7713, this journal provides a platform for innovative studies that bridge theory and practical application in the field of mathematics and statistics. Ranking in the Q2 category for Mathematics (miscellaneous) and Q3 for Statistics and Probability as of 2023, it reflects a robust academic discourse, featuring contributions that span a range of methodologies utilized in probability-related studies. The journal's sustained engagement in the academic landscape from 2004 to 2024 puts it at the forefront of ongoing developments in statistics and probability. Researchers, professionals, and students alike will find the insights found within to be invaluable for both theoretical understanding and practical implementation.
Critical Finance Review
Exploring the complexities of finance with rigor and insight.Critical Finance Review is a premier academic journal dedicated to advancing the field of finance through the publication of high-quality research that spans various dimensions of the discipline. Published by NOW PUBLISHERS INC, this journal has quickly established itself as a leading source of innovative finance scholarship, achieving a notable Q1 classification in the 2023 finance category. Operating under a rigorous peer-review process, the journal ensures the academic integrity and relevance of its content, which attracts contributions from both emerging and established scholars. With an ISSN of 2164-5744 and E-ISSN 2164-5760, it is accessible to a global audience, though it operates under traditional access models. The journal welcomes a diverse range of topics including, but not limited to, risk management, financial markets, and quantitative finance, making it an essential resource for researchers, professionals, and students who are keen to explore the complexities of financial systems and develop new insights in the ever-evolving landscape of finance. Based in the United States, Critical Finance Review holds a significant position within the academic community, fostering a collaborative environment that encourages innovative thinking and practical applications of financial theories.
Annals of Actuarial Science
Transforming theoretical knowledge into practical applications.Annals of Actuarial Science, published by Cambridge University Press, stands as a prominent academic journal in the fields of economics, statistics, and actuarial science. With an ISSN of 1748-4995, it features rigorous research aimed at advancing knowledge and practice in areas related to risk management, data analysis, and probability. The journal is recognized for its significant impact, holding a Q2 category ranking in both Economics and Econometrics and Statistics and Probability, along with notable positioning within Scopus rankings. Although it does not currently offer open access, its comprehensive selection of scholarly articles from 2010 to 2024 remains invaluable to researchers, professionals, and students alike, providing insights that drive the actuarial profession and enhance decision-making processes across various sectors. Positioned at the intersection of theoretical innovation and practical application, the Annals of Actuarial Science continues to shape the discourse and development of its disciplines.
PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES
Fostering collaboration through rigorous studies in probability and engineering.PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES is a premier journal published by Cambridge University Press, dedicated to advancing the fields of statistics, probability, and their applications within engineering and informational sciences. With an ISSN of 0269-9648 and an E-ISSN of 1469-8951, this journal has established itself as a significant resource since its inception in 1987, continuing to publish impactful research through 2024. Ranking in the Q2 category for Industrial and Manufacturing Engineering and holding Q3 status in multiple relevant categories, it boasts a respectable impact in academia, reflected in its Scopus rankings across various disciplines. Although not an open-access journal, it remains essential for researchers interested in the integration of probabilistic methods in contemporary engineering challenges. By providing a platform for innovative studies and practical applications, PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES plays a crucial role in shaping future research and methodologies in these overlapping domains, fostering collaboration and knowledge exchange among researchers, professionals, and students alike.
STOCHASTIC MODELS
Exploring innovative methodologies in modeling and simulation.STOCHASTIC MODELS, published by Taylor & Francis Inc, is a reputable journal dedicated to the field of applied mathematics, particularly focusing on the realms of modeling and simulation, as well as statistics and probability. With an ISSN of 1532-6349 and an E-ISSN of 1532-4214, the journal has made a notable impact since its inception in 2002 and is recognized for contributing valuable research until 2024. A Q3 ranking in 2023 within the categories of Applied Mathematics and Modeling & Simulation, alongside a Q4 ranking in Statistics and Probability, underscores its significant role in advancing scholarship in these areas, despite the competitive landscape. While not an Open Access journal, it offers an array of access options to cater to its diverse readership comprised of researchers, professionals, and students. Situated in the United States, STOCHASTIC MODELS serves as a critical platform for disseminating innovative ideas, methodologies, and applications that drive forward the understanding of complex stochastic phenomena.
MATHEMATICAL FINANCE
Unraveling Complexities of Finance through MathematicsMATHEMATICAL FINANCE is a prestigious journal published by Wiley, focusing on the interdisciplinary fields of finance, applied mathematics, accounting, and economics. With its ISSN 0960-1627 and E-ISSN 1467-9965, this journal has earned its place in the top tier of academic publications, reflected by its Q1 rankings across multiple categories in 2023, including Accounting, Applied Mathematics, Economics and Econometrics, Finance, and Social Sciences. MATHEMATICAL FINANCE, which commenced publishing in 1991, is recognized for its rigorous peer-review process and its significant contribution to the advancement of knowledge in quantitative finance methodologies and risk management practices. Although it does not currently offer open access, the journal remains an invaluable resource for researchers, professionals, and students seeking to stay abreast of the latest theoretical advancements and empirical studies in mathematical finance. Its impact factor and Scopus rankings further illustrate its high standing within the academic community, making it an essential platform for impactful research and scholarly discourse.