Studies in Informatics and Control is a distinguished academic journal published by the NATL INST R&D INFORMATICS-ICI, specializing in the interdisciplinary fields of Computer Science and Electrical and Electronic Engineering. With an ISSN of 1220-1766 and a recognized standing within its field, this journal aims to foster innovation and disseminate high-quality research findings from 2010 through 2024. It maintains a significant presence in the academic landscape, holding a Q3 ranking in both Computer Science (miscellaneous) and Electrical and Electronic Engineering categories for 2023, which underscores its commitment to advancing knowledge and technology in these areas. While the journal is not open access, it provides valuable insights and results that are essential for researchers, professionals, and students striving to develop their expertise in informatics and control systems. Based in Romania, its contributions traverse international boundaries, appealing to a global audience keen on the latest developments and trends within these rapidly evolving fields.

Vietnam Journal of Computer Science, published by World Scientific Publishing Co Pte Ltd, serves as a prominent platform for researchers and professionals in the rapidly evolving field of computer science. Launched as an Open Access journal in 2013, it aims to disseminate high-quality research across various subfields, including Artificial Intelligence, Computational Theory and Mathematics, Computer Vision, and Information Systems. With its ISSN 2196-8888 and E-ISSN 2196-8896, the journal provides valuable insights and contributes to the growing body of knowledge in computer science, particularly in Southeast Asia. Despite its relatively recent establishment, the journal has achieved significant rankings, including Q3 status in multiple categories and notable visibility in Scopus metrics, evidencing its commitment to fostering innovative research. This journal is essential for those looking to stay at the forefront of computational advancements and applications, particularly in Vietnam and beyond, facilitating an engaging dialogue among scholars and industry professionals.

Japanese Journal of Statistics and Data Science, published by SPRINGERNATURE, is a leading academic journal dedicated to the advancement of statistical methodologies and data science applications, with a focus on fostering innovative research and discourse within the field. Since its inception in 2018, the journal has sought to bridge theory and practice, embracing emerging trends and interdisciplinary approaches that contribute to the ever-evolving landscape of statistics, probability, and computational theory. Hailing from Germany, the journal holds an impressive Q3 ranking in both Computational Theory and Mathematics and Statistics and Probability, reflecting its commitment to high-quality, impactful research. With an accessible ISSN of 2520-8756 and E-ISSN 2520-8764, the journal invites a global audience of researchers, professionals, and students to explore its rich array of articles and findings, all aimed at furthering knowledge and application in the realm of data science.

Intelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.

Foundations of Data Science, published by the American Institute of Mathematical Sciences (AIMS), is a pioneering journal dedicated to advancing knowledge within the ever-evolving fields of data science, mathematics, and computational theory. With an impact factor reflecting its quality and relevance, this journal has established itself as a crucial resource for researchers and professionals alike, achieving remarkable rankings in the Scopus metrics across various mathematical categories, including 35th in Analysis and 70th in Statistics and Probability. The journal, which has been continuously growing in significance since its inception in 2019, focuses on both foundational theories and applied methodologies, providing open access to cutting-edge research from 2024 onward. Its commitment to fostering interdisciplinary collaboration ensures that it remains at the forefront of the data science realm, making it an essential platform for students, scholars, and practitioners aiming to deepen their understanding and contribute to the scientific community.

Advances in Data Analysis and Classification is a premier journal published by SPRINGER HEIDELBERG, focusing on the dynamic intersections of applied mathematics, computer science applications, and statistics. Established in 2007, this journal has rapidly gained recognition in the academic community, evidenced by its placement in the Q2 quartile across multiple categories in 2023, including Applied Mathematics and Statistics and Probability. With a strong Scopus ranking, where it stands 68th among 278 in Statistics and Probability, and 190th among 635 in Applied Mathematics, the journal serves as a platform for interdisciplinary research and innovation in data analysis techniques. This journal not only offers a rich repository of scholarly articles but also fosters the dissemination of cutting-edge methodologies and their practical applications. Researchers, professionals, and students alike will find invaluable insights relevant to their work and studies, reinforcing the journal's critical role in advancing knowledge and practices in data science and analysis.

Earth Science Informatics, published by SPRINGER HEIDELBERG, serves as a premier platform for disseminating innovative research in the realm of Earth and Planetary Sciences. With an ISSN of 1865-0473 and an E-ISSN of 1865-0481, this journal offers insightful contributions that leverage informatics and data-driven approaches to address complex geoscientific challenges. As a testament to its impact in the field, it ranks in the Q2 quartile and holds an impressive 73rd percentile rank among 195 journals in the broader **Earth and Planetary Sciences** category, as per Scopus rankings. This journal invites researchers, professionals, and students to explore and contribute to the growing body of knowledge that bridges the gap between informatics and Earth science, fostering advancements in both theoretical frameworks and practical applications. Situated in Germany, at TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, it aims to enhance interdisciplinary collaboration and propel scientific discovery from 2009 to 2024 and beyond, reinforcing its vital role in the academic community.

Stats, published by MDPI, serves as an invaluable open access platform dedicated to the fields of statistics and probability. Since its inception in 2018, the journal has been committed to disseminating high-quality research and promoting innovation in statistical methodologies through a rigorous peer-review process. Operating from Basel, Switzerland, Stats offers a global reach and aims to foster collaboration among researchers, professionals, and graduate students alike. With an impact factor indicating its emerging significance, the journal resides in the Q4 quartile of the statistics and probability category for 2023 according to Scopus rankings. This positions it within the evolving landscape of statistical research, enhancing its visibility and accessibility. Researchers are encouraged to contribute to this dynamic field and benefit from the journal's dedication to open access publishing, ensuring that research findings can reach a broad audience without barriers.

SIAM Journal on Mathematics of Data Science is an esteemed publication within the fields of applied mathematics and data science, published by SIAM PUBLICATIONS. This journal serves as a vital platform for researchers and practitioners, dedicated to disseminating high-quality research that addresses complex mathematical problems arising in the context of data science. The journal aims to bridge the gap between rigorous mathematical theory and practical applications, fostering interdisciplinary collaboration among mathematicians, data scientists, and statisticians. With its commitment to excellence, the SIAM Journal on Mathematics of Data Science contributes significantly to advancing the understanding and development of mathematical methodologies that analyze and interpret large datasets effectively. Researchers and professionals will find it an invaluable resource with its comprehensive articles, insightful reviews, and original research papers, which represent the forefront of innovative mathematical approaches in the evolving landscape of data science. For those interested in contributing to this dynamic field, the journal provides an array of access options tailored to diverse audiences.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE, published by Graz University of Technology's Institute for Information Systems and Computer Media (IICM), stands as a pivotal resource in the field of computer science. Since its inception in 1994, this Open Access Journal has fostered a culture of knowledge sharing and collaboration, allowing readers from all corners of the globe to access cutting-edge research without barriers. With an impressive convergence of studies spanning from 1996 to 2024, the journal covers a breadth of topics within Computer Science, achieving a Q3 ranking in miscellaneous areas and a Q4 ranking in theoretical computer science as of 2023. It also holds significant standing in Scopus rankings, demonstrating its influence and reach among the scientific community. The journal is particularly valuable to researchers, professionals, and students eager to explore innovative ideas and techniques that push the boundaries of computer science. Based in Austria, the journal is dedicated to maintaining high standards of scholarly integrity while promoting interdisciplinary discourse and advancements in technology.