Forecasting is an esteemed open-access journal published by MDPI, dedicated to advancing the fields of Computational Theory and Mathematics, Computer Science Applications, Decision Sciences, and Economics, since its inception in 2019. With its base in Switzerland, the journal aims to provide a fundamental platform for researchers, professionals, and students aiming to share high-quality research on mathematical methods for forecasting and prediction model development. As of 2023, Forecasting holds an impressive Q1 ranking in Economics, Econometrics, and Finance, alongside Q2 rankings in Computational Theory and Mathematics, Computer Science Applications, and Decision Sciences, reflecting its rigorous peer-review process and scientific impact. Forecasting has carved a niche as a leading publication, inviting high-quality contributions that stimulate innovation in forecasting methodologies across various applications in decision-making and economic analysis. This impact is further underscored by its commitment to open access, ensuring that research is readily accessible to the global academic community.

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.

Applied Stochastic Models in Business and Industry, published by Wiley, is a preeminent journal dedicated to advancing the field of stochastic modeling in various business and industry contexts. With an ISSN of 1524-1904 and an E-ISSN of 1526-4025, this journal serves as a vital platform for researchers and practitioners aiming to leverage stochastic techniques to address complex decision-making and operational challenges. The journal holds prestigious rankings, including Q2 in Business, Management and Accounting, and has converged years spanning from 1999 to 2024. It is distinguished by its wide scope, focusing on all aspects of modeling and simulation, as well as decision sciences and operations research. Although it does not operate as an open-access journal, its significant impact factor and Scopus rankings ensure that the valuable insights published within reach a broad audience. By fostering high-quality research and discourse, Applied Stochastic Models in Business and Industry plays a crucial role in driving innovation and excellence in its fields.

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 Pakistan Journal of Statistics and Operation Research is an esteemed academic publication dedicated to the fields of statistics, operations research, and their applications. Published by University of Punjab, this journal features innovative research that contributes significantly to the advancement of knowledge in Management Science, Modeling and Simulation, and Statistics and Probability. With an impressive Scopus ranking and categorized in Q2 and Q3 quartiles, it actively disseminates high-quality findings in these critical areas of study, making it an essential resource for researchers, professionals, and students seeking to enhance their understanding and application of statistical methodologies and operational frameworks. Although it is primarily published in Pakistan, the journal’s influence is recognized internationally, encouraging a global perspective on complex statistical challenges. With its convergence years spanning from 2011 to 2024, readers can expect a continual flow of cutting-edge research and practical insights that address the evolving demands of the field.

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.

INFORMS Journal on Applied Analytics, published by the esteemed Institute for Operations Research and the Management Sciences (INFORMS), is a leading journal dedicated to advancing the field of applied analytics. With an ISSN of 2644-0865 and an E-ISSN of 2644-0873, this journal aims to provide a platform for innovative research that transforms data into actionable insights, fostering the integration of analytic methods into practical applications across diverse industries. The journal's rigorous peer-review process underpins its commitment to high-quality research, ensuring relevance and impact in the rapidly evolving domain of analytics. While it currently operates under a subscription model, the journal facilitates the dissemination of knowledge to a wide audience of researchers, professionals, and students who are eager to explore the intersection of analytics and decision-making. As organizations increasingly turn to data-driven solutions, the INFORMS Journal on Applied Analytics serves as an invaluable resource for those looking to enhance their understanding and application of advanced analytical techniques.

Computational Management Science, published by SPRINGER HEIDELBERG, is a significant journal catering to the intersection of technology, management, and decision sciences. With an ISSN of 1619-697X and E-ISSN 1619-6988, this journal serves as a platform for innovative research focusing on computational methods applied to management science, operations research, and information systems. Based in Germany, the journal spans a critical period from 2005 to 2024, emphasizing trends that shape the future of the field. As a Tier 3 journal in multiple categories including Business, Management, and Accounting, and ranked across various disciplines with Scopus rankings highlighting its relevance, it stands out in fostering scholarly discourse. The journal invites contributions that enhance the application of computational techniques in decision-making, thereby enriching the practices of both academics and industry professionals. While it currently does not offer open access, its influence is reflected in its established readership and community engagement. Researchers, practitioners, and students alike will find in this journal a vital resource for advancing knowledge and sparking innovation in computational management.

The International Journal of Reliability Quality and Safety Engineering, published by World Scientific Publishing Co Pte Ltd, is a leading platform for disseminating cutting-edge research in the fields of reliability, quality, and safety engineering. With an impressive scope that spans across aerospace, electrical engineering, nuclear energy, and industrial manufacturing, this journal serves as a critical resource for researchers and professionals aiming to enhance system dependability and operational excellence. Indexed in Scopus, it holds a respectable Q3 ranking across various categories in 2023, reflecting its growing influence in the academic community. Although currently not open access, it provides ample opportunities for scholars to publish impactful studies from its extensive database, which has evolved since 1996. The journal's commitment to advancing knowledge in reliability and safety engineering makes it a pivotal resource for those dedicated to improving engineering practices and protocols worldwide.

Advances and Applications in Statistics is a pivotal academic journal devoted to the dissemination of high-quality research findings in the field of statistics and its diverse applications. Published by PUSHPA PUBLISHING HOUSE, this journal aspires to serve as a dynamic platform for researchers, professionals, and students who aim to share innovative statistical methodologies and explore their practical implications across various disciplines. The journal, with its influential ISSN 0972-3617, fosters open discussion and collaboration within the statistical community, aiming to bridge theoretical advancements with real-world applications. As part of its ongoing commitment to academic integrity and excellence, Advances and Applications in Statistics encourages submissions that not only advance statistical theory but also illustrate their utility in solving contemporary issues in industries such as healthcare, finance, and economics. Although currently lacking an impact factor, the journal's dedication to quality research positions it as a significant contributor to the field. Researchers and academics looking to publish their work in a stimulating and supportive environment will find in this journal a valuable resource.