International Journal of Intelligent Unmanned Systems, published by Emerald Group Publishing Ltd, is a leading platform for research focusing on the advancement of intelligent unmanned technologies. With an ISSN of 2049-6427 and an E-ISSN of 2049-6435, this journal addresses critical topics in Automotive Engineering, Economics, and Mechanical Engineering, reflecting its categorization within the Q3 and Q4 quartiles of 2023. It serves as a crucial resource for academics and professionals involved in developing intelligent unmanned systems, encompassing their application, design, and the economics surrounding these innovations. From its inception in 2013 and continuing through 2024, the journal has carved out an important niche within the research community by providing high-quality, peer-reviewed articles that contribute significantly to operational advancements and theoretical frameworks. This journal not only encourages open dialogue among researchers but also promotes interdisciplinary studies essential for the growth of intelligent systems in various sectors.

MEASUREMENT TECHNIQUES, published by SPRINGER, is an esteemed journal within the realm of applied mathematics and instrumentation. With a history of publication dating back to 1958, this journal serves as a platform for innovative research and development in the measurement sciences. Though currently not an open-access journal, it provides a critical resource for researchers and professionals seeking to advance their knowledge in the fields of engineering and instrumentation techniques. The journal holds a vital position in its category, being ranked in the Q4 quartile for 2023 across multiple related fields, including engineering and applied mathematics. With an ISSN of 0543-1972 and e-ISSN of 1573-8906, MEASUREMENT TECHNIQUES strives to disseminate contemporary findings and foster collaboration among scholars, ensuring significant contributions to the evolving landscape of measurement technologies.

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.

Journal of Algorithms & Computational Technology, published by SAGE PUBLICATIONS LTD, serves as a noteworthy platform for scholars and practitioners in the realms of applied mathematics, computational mathematics, and numerical analysis. With an ISSN of 1748-3018 and an E-ISSN of 1748-3026, this Open Access journal has been disseminating high-quality research since 2007, ensuring that significant advancements in algorithmic techniques and computational methodologies are readily accessible to the global academic community. Based in the United Kingdom, this journal has steadily established itself within specialized quartiles, notably achieving Q3 ranking in Computational Mathematics and Q4 in both Applied Mathematics and Numerical Analysis for 2023, reflecting its growing influence in these fields. As the journal converges from 2011 to 2024, it aims to cater to the needs of researchers, professionals, and students by publishing innovative research that not only addresses theoretical frameworks but also provides practical applications. By leveraging its open-access model, the Journal of Algorithms & Computational Technology fosters a collaborative environment where knowledge can flourish, allowing for the continuous evolution of algorithms that drive technological advancement.

EXPERT SYSTEMS WITH APPLICATIONS is a premier journal published by PERGAMON-ELSEVIER SCIENCE LTD, dedicated to showcasing cutting-edge research in the fields of Artificial Intelligence, Computer Science Applications, and Engineering. With an esteemed Q1 ranking across multiple categories, this journal not only reflects high-quality scholarship but also plays a pivotal role in advancing the application of expert systems and intelligent technologies in various sectors. Operating from the United Kingdom, it features a wide range of insightful articles that address complex challenges and offer innovative solutions through interdisciplinary approaches. Researchers and practitioners can access invaluable resources to inform their work, contributing to the journal's strong reputation and growing readership. With its convergence of relevant technologies from 1990 to 2025, EXPERT SYSTEMS WITH APPLICATIONS stands as an essential source for those aiming to push the boundaries of knowledge in these thriving fields, making it a key platform for both established experts and emerging scholars.

COMPUTATIONAL BIOLOGY AND CHEMISTRY is a distinguished academic journal published by Elsevier Science Ltd, focusing on the dynamic intersection of computational biology, biochemistry, and chemistry. With an ISSN of 1476-9271 and an E-ISSN of 1476-928X, this journal is committed to disseminating high-quality research that employs computational techniques to solve complex biological and chemical problems. As of 2023, the journal holds a substantial impact factor reflecting its significance and rigorous peer-review process, categorized in the Q2 quartile for both Computational Mathematics and Organic Chemistry, alongside Q3 classifications in Biochemistry and Structural Biology. With a continuous publication history spanning from 2003 to 2024, it serves as a critical resource for researchers, professionals, and students alike. The journal offers various open access options, ensuring that vital research findings are accessible to a global audience, further enhancing collaboration across disciplines. Engage with cutting-edge studies and contribute to the evolving landscape of computational methodologies in the life sciences through this esteemed publication.

Biocybernetics and Biomedical Engineering, published by ELSEVIER in the Netherlands, is a prestigious journal that stands at the forefront of the intersecting fields of biomedical engineering and artificial intelligence. With an impressive Impact Factor that places it in the Q1 category for Biomedical Engineering, this journal not only ranks 17th out of 303 in Scopus but also boasts a remarkable percentile ranking of 94th, highlighting its influence and relevance within the scientific community. Since its inception in 2008, Biocybernetics and Biomedical Engineering has aimed to publish cutting-edge research that integrates principles of cybernetics with technological advancements in health care, thereby fostering innovations that improve patient outcomes. Dedicated to advancing knowledge in biomedical technology, the journal serves as a vital resource for researchers, professionals, and students seeking to explore the latest developments and methodologies in the field.

International Journal of Data Warehousing and Mining, published by IGI Global, is a vital resource in the field of data management and analytics, catering to researchers, professionals, and students alike. With ISSN 1548-3924 and E-ISSN 1548-3932, this journal has been at the forefront of disseminating pioneering research since its inception in 2005 and will continue to do so through 2024. Despite its current categorization in the Q4 quartile for Hardware and Architecture as well as Software, and its Scopus rankings, the journal aims to foster innovation within the domains of data warehousing, data mining, and their applications across various sectors. The absence of an open access option does not diminish its significance; rather, it ensures that the journal maintains rigorous peer-review standards, providing high-quality research outputs that contribute to ongoing discussions and advancements within the field. Researchers and practitioners looking to stay updated on the latest trends and methodologies will find the International Journal of Data Warehousing and Mining an indispensable tool in their academic and professional endeavors.

MEASUREMENT & CONTROL is a prominent journal published by SAGE PUBLICATIONS LTD, dedicated to advancing the fields of applied mathematics, control systems, and instrumentation. With an ISSN of 0020-2940 and an E-ISSN of 2051-8730, this open-access journal has been serving the academic community since 1968, ensuring that essential research findings are accessible to all. As of 2023, it is recognized within the Q3 quartile of Scopus rankings in key categories including Applied Mathematics, Control and Optimization, and Instrumentation, highlighting its relevance in an ever-evolving scientific landscape. The journal not only fosters high-quality research but also encourages the exchange of innovative ideas and techniques, making it an essential resource for researchers, professionals, and students alike. With a focus on the latest advancements and methodologies, MEASUREMENT & CONTROL remains a vital platform for disseminating knowledge and fostering collaboration within these interdisciplinary fields.

Statistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.