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.

M&SOM - Manufacturing & Service Operations Management, published by INFORMS, is a leading journal dedicated to advancing the field of operations management since its inception in 1999. With an impact factor that reflects its reputation as a top-tier publication, M&SOM is categorically ranked in Q1 for both Management Science and Operations Research, as well as Strategy and Management, positioning it among the elite journals in its domain. Practitioners and scholars alike benefit from insightful research that addresses critical challenges in manufacturing and service operations across diverse industries. The journal's commitment to fostering innovation is evident through its rigorous peer-review process, ensuring the publication of high-quality articles that contribute significantly to theory and practice. Researchers, professionals, and students engaged in operations management will find M&SOM a vital resource for the latest trends, methodologies, and strategic insights.

Sankhya-Series B: Applied and Interdisciplinary Statistics, published by Springer in India, serves as a vital platform for advancing the field of applied statistics and interdisciplinary research. With an ISSN of 0976-8386 and an E-ISSN of 0976-8394, this journal has made significant contributions since its inception in 2010, continuing to publish impactful research until 2024. The journal is ranked in the third quartile across several categories, including Applied Mathematics and Statistics, reflecting its importance within the academic community. Although not an open-access journal, Sankhya-Series B provides robust access options for its readership, facilitating the dissemination and discussion of critical statistical methodologies and applications. Researchers, professionals, and students are encouraged to engage with the journal's comprehensive scope, which includes a focus on statistical theory, methodologies, and their practical applications across various disciplines. By providing a rigorous forum for scholarly exchange, this journal plays an essential role in shaping the future of applied statistics and fostering interdisciplinary collaboration.

Operations Research Letters, published by Elsevier, is a premier journal dedicated to fostering the development and dissemination of innovative research within the field of operations research. With an ISSN of 0167-6377 and an E-ISSN of 1872-7468, this journal has been a vital resource since its inception in 1981, and it continues to publish cutting-edge research through 2024. Positioned in the category quartiles Q2 and Q3 across relevant disciplines—including Applied Mathematics, Industrial and Manufacturing Engineering, Management Science and Operations Research, and Software—this journal provides a crucial platform for scholars and practitioners to explore theoretical advancements and practical applications. The journal is particularly significant for those engaged in the inter-disciplinary challenges of optimizing complex systems, highlighting its importance in driving forward both academic inquiry and industry practice. Researchers, professionals, and students can benefit from the insights presented in its pages, contributing to informed decision-making and strategic innovations in operations research.

OPERATIONS RESEARCH is a premier journal published by INFORMS, recognized for its distinguished contributions to the fields of management science and decision-making within operations. Established in 1969 and continuing its legacy until 2024, this journal serves as an essential platform for researchers and practitioners to explore innovative methodologies and applications in operations research. With an impressive impact reflected in its Q1 rankings in both Computer Science Applications and Management Science and Operations Research, OPERATIONS RESEARCH occupies a significant position in scholarly communication, facilitating high-quality research dissemination. The journal is highly regarded for driving the integration of theory and practice, addressing real-world challenges through rigorous analytics and sophisticated modeling. Although it does not currently offer open access, the richness of its content makes it a vital resource for anyone involved in operational decision-making, strategic planning, and performance optimization.

Archives of Control Sciences is a distinguished open access journal dedicated to the field of control sciences, published by the Polish Academy of Sciences. With its ISSN 2300-2611, the journal has been available to the global research community since 2010, ensuring unrestricted access to groundbreaking findings. The journal seeks to present high-quality research covering various aspects of control theory and its applications, appealing to both researchers and practitioners eager to stay at the forefront of innovation. Although specific metrics like the HIndex and category quartiles are currently not listed, the dedication to open access and the backing of a reputable publisher enhances its visibility and accessibility. Located at PL DEFILAD 1, WARSZAWA 00-901, POLAND, the journal invites submissions that contribute to the advancement of knowledge in control sciences, fostering collaboration and the sharing of insights among professionals in the field.

Health Systems is a vital journal dedicated to advancing the understanding and application of health system dynamics, innovations, and policies. Published by Taylor & Francis Ltd, this journal has established a reputation as a significant contributor in the fields encompassing Computer Science Applications, Health Informatics, and Health Policy, among others. With a Q3 category ranking in various relevant disciplines and notable percentile rankings in health policy and management sciences, Health Systems serves as a robust platform for researchers and practitioners to publish their findings and foster interdisciplinary dialogues. The journal attracts a diverse audience committed to improving health systems through empirical research and theoretical developments. It continuously evolves, reflecting contemporary challenges and innovations from 2012 to 2024, making it an indispensable resource for those invested in the future of healthcare.

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.

Applications and Applied Mathematics-An International Journal, published by Prairie View A & M University, Department of Mathematics, serves as a pivotal platform for disseminating high-quality research in the interconnected realms of mathematics and its practical applications. With its ISSN 1932-9466, this journal invites contributions focused on novel methodologies, theoretical advancements, and empirical studies that underscore the vital role of mathematics across diverse disciplines. Although it currently does not offer open access options, the journal is committed to advancing knowledge and fostering collaboration among researchers, professionals, and students seeking to explore the application of mathematical concepts to real-world problems. As it gains prominence in the academic community, Applications and Applied Mathematics aspires to maintain a robust editorial process to ensure the rigor and integrity of published research, subsequently contributing to the advancement of both theoretical and applied mathematics.

KYBERNETIKA is a distinguished journal published by KYBERNETIKA in the Czech Republic, dedicated to advancing the fields of Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Information Systems, Software, and Theoretical Computer Science. Since its inception in 1972, it has played a pivotal role in disseminating research findings and innovative theories, providing a platform for academic discourse and groundbreaking studies. The journal has evolved through various periods, including converged years from 1972 to 1989 and 1996 to 2024, showcasing a commitment to ongoing scholarship within the vibrant academic community. Its current standing in multiple categories reflects its importance, being ranked in the third and fourth quartiles in various disciplines, thus appealing to diverse researchers and professionals. While KYBERNETIKA does not offer Open Access, it remains a valuable resource for those interested in the latest developments in its respective fields. The address for submissions and inquiries is POD VODARENSKOU VEZI 4, PRAGUE 8 182 08, CZECH REPUBLIC. Engage with this invaluable repository of knowledge to stay at the forefront of research and innovation.