JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, published by TARU PUBLICATIONS, is a vital platform for researchers and practitioners in the field of information science and optimization techniques. With a focus on the application of mathematical and computational methods to solve complex problems in various domains, this journal aims to advance knowledge and encourage innovative thinking. The journal's ISSN is 0252-2667 and the E-ISSN is 2169-0103. Although currently not Open Access, it strives to provide high-quality research that significantly contributes to the industry. With a commitment to rigor and excellence, the JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES is essential for anyone dedicated to enhancing their understanding and application of optimization methodologies in an ever-evolving technological landscape.

JOURNAL OF HYDROMETEOROLOGY, published by the American Meteorological Society, is a leading scholarly journal that serves as a vital resource within the field of atmospheric science. With its ISSN 1525-755X and E-ISSN 1525-7541, this journal provides a platform for the dissemination of high-impact research, currently holding a prestigious Q1 ranking in Atmospheric Science as per the 2023 Category Quartiles. It enjoys an excellent reputation, ranked #30 out of 148 in the Scopus listings, placing it in the top 80th percentile within Earth and Planetary Sciences. Publishing rigorous and innovative studies from 2000 to 2024 and beyond, the journal addresses critical topics including weather forecasting, climate dynamics, and hydrological processes, making it essential reading for researchers, professionals, and students alike. Though not an open-access journal, it continues to enrich the academic community with quality contributions dedicated to advancing our understanding of hydrometeorological phenomena.

The INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, published by TAYLOR & FRANCIS LTD, is a prestigious peer-reviewed journal dedicated to advancing the fields of systems theory and its applications across a variety of scientific disciplines. With an ISSN of 0308-1079 and an E-ISSN of 1563-5104, this journal has carved a niche since its inception in 1974, continuing to provide a platform for innovative research through to 2024. Featured in the esteemed Q2 category in multiple domains, including Computer Science Applications, Control and Systems Engineering, and Information Systems, it serves as a vital resource for the scientific community, fostering interdisciplinary collaboration. The journal's rankings in Scopus reflect its quality, with noteworthy positions in fields such as Mathematics, Engineering, and Theoretical Computer Science. While access is through subscription, the journal remains an essential conduit for researchers, professionals, and students eager to deepen their understanding of general systems and their complex interactions within various environments.

Weather and Forecasting is a premier journal published by the American Meteorological Society, focusing on cutting-edge research in the field of atmospheric science. With its ISSN 0882-8156 and E-ISSN 1520-0434, the journal has distinguished itself within the scientific community, holding a Q1 ranking in Atmospheric Science for 2023 and ranking #56 out of 148 in the Scopus Earth and Planetary Sciences category, demonstrating its influence and high-quality content. Since its inception in 1992, Weather and Forecasting has been dedicated to advancing knowledge in meteorology through rigorous peer-reviewed articles that span a wide range of topics—from numerical weather prediction to climate impacts and atmospheric dynamics. While the journal is not open access, it remains accessible to a broad audience through institutional subscriptions, reinforcing its role as a vital resource for researchers, practitioners, and students alike. With a commitment to excellence in scholarship and a vision towards the future, this journal plays a significant role in shaping the understanding of weather phenomena and forecasting methodologies.

The Journal of Operational Oceanography, published by Taylor & Francis Ltd, stands as a pivotal platform within the field of oceanography, focusing on the integration of operational practices, technology, and scientific research. With a strong impact factor and a notable Q2 quartile ranking in the category of Earth and Planetary Sciences, this journal offers researchers, professionals, and students a vital resource for disseminating new knowledge and innovative methodologies related to ocean studies. Covering a range of topics from marine data analysis to the application of oceanographic principles in sustainable practices, the journal’s content is crucial for advancing understanding in this dynamic field. Operating since 2008 and continuing through 2024, it is dedicated to fostering collaboration and dialogue among the scientific community, ensuring accessibility to essential findings that drive informed decision-making in marine science. With its commitment to high-quality, peer-reviewed articles and a ranking in the top 10th percentile of its category, the Journal of Operational Oceanography is an indispensable resource for those looking to make significant contributions to marine research.

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.

Journal of Time Series Econometrics, published by WALTER DE GRUYTER GMBH, serves as a pivotal platform for current research within the fields of Economics and Econometrics. With an ISSN of 2194-6507 and E-ISSN 1941-1928, this journal is dedicated to the advancement of time series analysis techniques and their practical application in economic contexts. Operating from Germany, the journal seeks to foster a vibrant intellectual environment, inviting contributions that push the boundaries of established theories and methodologies. With an established influence in academia, recent evaluations have placed the journal within the Q4 category in the 2023 rankings for Economics and Econometrics, alongside a notable 39th percentile ranking in Scopus. Although currently lacking open access options, the journal promotes crucial discussions and knowledge dissemination on innovative econometric practices. The period from 2016 to 2024 marks a significant phase of convergence in the journal's evolution, promising ongoing relevance and engagement for researchers, professionals, and students eager to explore the complexities of time series analysis and its implications within economic theory.

Computational Economics is a premier journal dedicated to advancing the interdisciplinary field that bridges computational methods and economic theory. Published by Springer in the Netherlands, this journal serves as a critical platform for researchers and practitioners from economics, econometrics, and computer science, fostering innovation and cross-pollination of ideas from 1993 to 2024. With a notable impact factor in its categories—ranking Q2 in Economics, Econometrics, and Finance and Q3 in Computer Science Applications—Computational Economics consistently delivers rigorous peer-reviewed research that addresses contemporary challenges in economic modeling and computational techniques, making it an indispensable resource for the academic community. The journal provides a range of access options and is indexed in Scopus, where it holds a strong position in the 78th percentile of its category, ensuring high visibility and engagement for published works. Researchers, students, and professionals will find valuable insights across its diverse scope, facilitating the exploration of new methodologies that shape the future of economic analysis.

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.

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.