Journal of Risk Model Validation, published by INCISIVE MEDIA, is a pivotal scholarly platform dedicated to the fields of Applied Mathematics, Economics, Econometrics, and Finance. With an ISSN of 1753-9579 and an E-ISSN of 1753-9587, this journal actively contributes to the advancement of knowledge through the rigorous validation of risk models, which is essential for informed decision-making in business and economic contexts. Although currently not an Open Access journal, it serves a vital role in the academic community, evidenced by its categorization in the Q4 and Q3 quartiles across various relevant fields. As of 2023, it holds commendable Scopus rankings, reflecting its relevance and engagement within the global academic discourse. The journal encourages submissions from a wide array of researchers, professionals, and students until 2024, fostering a comprehensive exploration of risk model methodologies and their practical applications. Emphasizing both theoretical frameworks and empirical studies, the Journal of Risk Model Validation is an essential resource for those dedicated to enhancing the reliability and effectiveness of risk assessment in contemporary finance and economics.

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.

Journal of Computational Finance, published by INCISIVE MEDIA, stands at the forefront of interdisciplinary research, amalgamating the realms of finance, applied mathematics, and computer science. With its ISSN 1460-1559 and E-ISSN 1755-2850, this journal provides a vital platform for scholars and practitioners alike, aiming to advance methodologies and computational techniques that enhance financial decision-making processes. Although currently categorized in the Q3 quartile across various disciplines—including Applied Mathematics, Computer Science Applications, and Finance—its commitment to quality research is unwavering, as evidenced by its curated selection of innovative studies. The journal’s scope includes computational modeling, algorithmic trading, risk management, and quantitative finance solutions. Each volume seeks to not only foster academic discourse but also bridge theoretical findings with practical applications in the financial industry. Given its convergence from 2011 to 2024, the journal continues to evolve alongside the rapidly changing financial landscape, supporting researchers, students, and professionals in navigating the complexities of computational finance.

JOURNAL OF BUSINESS & ECONOMIC STATISTICS is a premier academic journal published by Taylor & Francis Inc, dedicated to disseminating high-quality research in the fields of business, economics, and statistics. With an impressive impact in the academic community, the journal maintains a distinguished Q1 ranking across various categories including Economics and Econometrics, Social Sciences (miscellaneous), and Statistics and Probability, showcasing its relevance and influence in contemporary research. Since its inception in 1983, the journal has served as a vital resource for researchers, professionals, and students seeking insights into quantitative methodologies and their application in the economic domain. While the journal is not currently open access, its rigorous peer-review process ensures that published articles are of the highest scholarly standards. Researchers and practitioners alike will find a rich repository of empirical and theoretical studies that foster knowledge advancement in the intersecting realms of business, economics, and statistical analysis.

Operations Research and Decisions is a highly accessible, peer-reviewed journal published by Wroclaw University of Science and Technology, Faculty of Management. Established in Poland, this open access journal has been disseminating cutting-edge research since 2010 and focuses on the vital intersection of operations research and decision-making processes. With an ISSN of 2081-8858 and an E-ISSN of 2391-6060, it serves as a platform for both theoretical advancements and practical applications in various fields, including management science, modeling and simulation, and statistics. Although currently categorized in the Q4 quartile in multiple relevant subject areas in 2023, the journal is committed to promoting innovative research that addresses contemporary challenges in technology and decision sciences. Researchers, professionals, and students alike will find valuable insights within its pages as they contribute to the evolving landscape of operations research. The journal is available for all interested readers, ensuring that knowledge is freely shared and disseminated across the globe.

The Journal of Business Analytics, published by Taylor & Francis Ltd, is an esteemed platform dedicated to advancing the field of business analytics through rigorous research and innovative methodologies. Since its inception in 2018, this journal has provided a vital resource for researchers, practitioners, and students interested in the intersection of data science, management, and decision-making processes. With an impact factor reflective of its commitment to high-quality research, the journal holds notable rankings across multiple disciplines, including Q2 in Industrial and Manufacturing Engineering and Management Information Systems, as well as Q3 in Artificial Intelligence and Management Science and Operations Research. The journal's broad scope encompasses pivotal themes such as predictive analytics, decision support systems, and statistical methodologies, making it an essential resource for a diverse audience. The Journal of Business Analytics continues to foster collaboration and knowledge exchange within the academic community, positioning itself as a cornerstone for those seeking to navigate the complex landscapes of business and technology.

Journal of Management Science and Engineering, published by KEAI PUBLISHING LTD, stands as a premier outlet for scholarly work in the fields of management science, decision-making, engineering, and innovation management. Since its transition to Open Access in 2016, this journal has broadened access to cutting-edge research, empowering a diverse community of researchers, professionals, and students worldwide. Based in China, the journal has remarkably achieved a Q1 classification across multiple categories in 2023, including Business and International Management, Control and Systems Engineering, and Management Information Systems. With a significant presence in Scopus rankings, where it demonstrates exceptional standing such as rank #9 in General Decision Sciences, the Journal of Management Science and Engineering plays a critical role in shaping discussions around technology, strategy, and innovative management practices. Researchers and practitioners alike will find invaluable insights and comprehensive studies that address contemporary challenges and foster advancements in the respective fields.

Modern Stochastics-Theory and Applications is a dynamic, peer-reviewed academic journal dedicated to advancing the field of stochastics through rigorous research and innovative methodologies. Published by VTEX in Lithuania, the journal has embraced an Open Access model since 2014, ensuring that cutting-edge research is freely available to a global audience. With an ISSN of 2351-6054, it has steadily gained recognition in the academic community, achieving a 2023 ranking in the Q2 category for Modeling and Simulation and the Q3 categories in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty. Although still emerging, with noteworthy Scopus rankings highlighting its potential impact, the journal provides a vital platform for scholars to share their findings in stochastic modeling, simulation techniques, and statistical analysis. Researchers, professionals, and students alike are encouraged to contribute to and engage with this influential journal, solidifying its place in the academic landscape and fostering collaboration across disciplines.

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.

Journal of the Indian Society for Probability and Statistics, published by SpringerNature in Germany, is a prominent platform dedicated to advancing the field of statistics and probability. With its E-ISSN of 2364-9569, the journal features rigorous research articles, reviews, and theoretical advancements aimed at promoting the application of statistical methodologies in diverse areas. As part of the academic community since 2016, it has maintained a commendable Q3 ranking in the Statistics and Probability category for 2023, indicating its growing influence and relevance. As the journal aims to foster collaborations among statisticians and probabilists, it serves as an invaluable resource for researchers, professionals, and students looking to deepen their understanding and share innovative ideas. While the journal operates under a subscription model, its commitment to open access publication contributes to the broader dissemination of knowledge in this vital field, further enhancing its importance and utility within the scientific landscape.