The Oxford Bulletin of Economics and Statistics, published by Wiley, stands as a leading journal in the realms of Economics, Econometrics, and Statistics. Since its inception in 1973 and converging through to 2024, the journal has consistently positioned itself in the top quartile (Q1) across multiple categories, including Economics and Econometrics, Social Sciences, and Statistics and Probability, highlighting its influential status in the academic community. With a commendable ranking within Scopus, notably ranked #53 in Social Sciences and #28 in Statistics and Probability, it serves as a critical platform for disseminating rigorous research and innovative methodologies. Researchers, professionals, and students are encouraged to contribute and engage with the high-quality content that defines this esteemed journal, which does not currently offer Open Access but remains a pivotal resource for those seeking to deepen their understanding of economic and statistical paradigms in the pressing global landscape.

Statistica, an esteemed journal published by the Università degli Studi di Bologna, Dipartimento di Scienze Statistiche Paolo Fortunati, is a vital resource within the fields of statistical science and applied mathematics. Since its inception in 1969, this open-access journal has served as a platform for original research and comprehensive reviews, facilitating the dissemination of knowledge to a global audience. As of 2023, it is indexed in Scopus, holding a noteworthy position in the 43rd percentile in the realm of Decision Sciences and Statistics. Researchers and practitioners benefit from its focus on contemporary statistical methods, data analysis, and probability theory. With a commitment to fostering academic dialogue and collaboration, Statistica aims to highlight innovative findings and applications, ensuring that the community remains at the forefront of statistical advancements.

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.

STATISTICAL PAPERS, published by Springer, is a leading journal in the field of Statistics and Probability that has been contributing to the academic community since 1988. With an impressive track record spanning over three decades, this journal falls within the prestigious Q2 quartile in both the Statistics and Probability and Statistics, Probability and Uncertainty categories, signifying its high-quality research output. It currently ranks #92 out of 278 in the Mathematics - Statistics and Probability category and #61 out of 168 in Decision Sciences - Statistics, Probability and Uncertainty, placing it in the 67th and 63rd percentiles respectively. Although the journal is not open access, it offers a vital platform for researchers, professionals, and students seeking to disseminate their findings and stay abreast of the latest advancements in statistical methods and applications. With its commitment to the highest standards of scholarship, STATISTICAL PAPERS plays a crucial role in shaping contemporary statistical discourse and fostering innovation within the field.

Statistical Theory and Related Fields is a cutting-edge journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical theory and its applications across diverse disciplines. With an open access policy introduced in 2022, this journal strives to make high-quality research accessible to a global audience. Its ISSN 2475-4269 and E-ISSN 2475-4277 ensure that it is widely recognized in the academic community. The journal covers crucial topics ranked across various categories, including Q3 in Analysis and Applied Mathematics, and has a growing presence in important subfields of mathematics, as evidenced by its Scopus rankings. This positions it prominently as a valuable resource for researchers, professionals, and students seeking to explore and contribute to statistical theory and its related fields. With a commitment to fostering rigorous theoretical research, as well as practical applications, the journal plays a significant role in shaping the dialogue and advancements in statistics, probability, and computational theories.

Central European Journal of Economic Modelling and Econometrics (ISSN: 2080-0886, E-ISSN: 2080-119X) is a premier academic publication housed under the auspices of the Polish Academy of Sciences - Lodz Branch. Since its establishment, this journal has served as a crucial platform for scholars and practitioners alike, focusing on the dynamic realms of economic modeling and econometrics. The journal is dedicated to advancing the understanding of economic systems and statistical methodologies, striving to bridge theoretical approaches with practical applications. Although currently categorized in the Q4 quartile across various fields such as Applied Mathematics, Economics, and Statistics, its commitment to rigorous research and scholarly discourse ensures it remains an important resource for academics looking to contribute insights in these sectors. Published in Poland and featuring articles aimed at enhancing the body of knowledge in econometric modeling, this journal embraces an open-access model, allowing for greater dissemination of research findings to a global audience. Researchers, professionals, and students will find valuable contributions that not only highlight emerging trends but also foster innovation in the field of economic sciences.

Bayesian Analysis is a premier open-access journal published by the International Society for Bayesian Analysis, dedicated to advancing the field of Bayesian statistics and its applications. Founded in 2006, the journal serves as a vital platform for disseminating high-quality research, fostering collaboration among statisticians, mathematicians, and data scientists. With an impressive Impact Factor, and ranking in the Q1 category for both Applied Mathematics and Statistics and Probability in 2023, it stands as a testament to its influence and rigor within the academic community. The journal’s consistent performance in Scopus Rankings—notably, ranked #18 out of 278 in Statistics and Probability—illustrates its significance and role in shaping contemporary statistical methods and applications. Researchers, professionals, and students are encouraged to engage with this resource to stay abreast of innovative methodologies, theoretical advancements, and compelling case studies in Bayesian analysis. The journal’s open-access model ensures that knowledge is freely available to the global community, reinforcing its commitment to education and research dissemination.

STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, published by Walter de Gruyter GmbH, is a leading journal that explores the intersections of nonlinear dynamics, econometric modeling, and their applications across various fields. Since its inception in 2002, this journal has been dedicated to disseminating high-quality research that challenges conventional methodologies and promotes innovative analytical techniques in economics and social sciences. With an impressive impact through its rankings, being placed in the Q3 category for Analysis and Econometrics, and achieving a Q2 ranking in Social Sciences (miscellaneous) as of 2023, it serves as a vital resource for scholars and practitioners aiming to deepen their understanding of complex systems and dynamic processes. The journal facilitates open discourse and comprises contributions from both emerging and established researchers, fostering an academic environment that prioritizes rigorous peer-reviewed scholarship. Researchers are encouraged to access its rich content, which provides insights into contemporary methodologies and empirical findings, further enhancing the discourse surrounding nonlinear dynamics and statistics. For more information and to explore the latest research, please visit its page on the publisher's website.

STATISTICS is a distinguished journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical science since its inception in 1985. With a strong focus on both the theoretical and practical aspects of Statistics and Probability, this journal serves as a vital platform for researchers, professionals, and students seeking to disseminate their findings and contribute to critical discussions in the discipline. Although categorized in the Q3 quartile for both Statistics and Probability and Statistics, Probability and Uncertainty, the journal's commitment to quality research is evidenced by its inclusion in relevant Scopus rankings. It holds respectable positions, ranked #132/168 in Decision Sciences and #219/278 in Mathematics. By providing a venue for high-quality research articles and reviews, STATISTICS aims to foster innovation, reinforce methodological advancements, and address contemporary challenges in statistical applications. The journal does not currently offer open access, but it is widely distributed, ensuring that significant research reaches the communities that need it most. Researchers are encouraged to submit their work to this essential resource that continues to shape the landscape of statistical inquiry.

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.