Journal of Big Data, published by SPRINGERNATURE, is a leading academic journal dedicated to advancing the understanding and application of big data technologies and methodologies across various domains. Since its inception in 2014, this Open Access journal has gained recognition for its rigorous peer-reviewed research, boasting impressive rankings in multiple categories in Scopus, including Q1 in Computer Networks and Communications and Q1 in Information Systems. With its impactful contributions, the journal is positioned at the forefront of scholarly work on big data, addressing critical topics such as data analytics, storage, visualization, and applied data science. Its global reach and commitment to disseminating knowledge ensure that researchers, professionals, and students have equitable access to groundbreaking findings that empower advancements in technology and information systems. The Journal of Big Data continues to foster collaboration and inspire new research avenues leading to tangible impacts in the field.

STATISTICAL METHODS IN MEDICAL RESEARCH is a leading academic journal dedicated to advancing the field of statistical methodologies as they apply to medical research. Published by SAGE Publications Ltd, this prestigious journal focuses on innovative statistical techniques that are pivotal for health-related data analysis and interpretation. With its Q1 ranking in Epidemiology, Health Information Management, and Statistics and Probability as of 2023, it stands out as a vital resource for researchers and practitioners alike. The journal, which has been in circulation since 1992, is widely recognized for its robust contributions to evidence-based medicine and public health, ensuring that practitioners have access to cutting-edge research. Although it currently does not offer Open Access options, the high-impact nature indicated by its rankings and percentile positions solidifies its importance as a go-to source for statistical theories and applications in health research. Researchers, healthcare professionals, and students are encouraged to explore the rich content of this journal to stay abreast of the latest advancements and methodologies.

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.

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.

International Journal of Data Science and Analytics, published by SpringerNature, is a leading peer-reviewed journal dedicated to advancing the fields of data science and analytics. Since its inception in 2016, the journal has become an essential platform for researchers, professionals, and students, promoting the exchange of innovative ideas and cutting-edge research. With an impressive categorization in Q2 across multiple domains including Applied Mathematics, Computational Theory and Mathematics, and Information Systems, it demonstrates a notable impact within the academic community, as reflected by its high rankings in various Scopus categories. The journal emphasizes rigorous methodologies and practical applications of data science, making it a valuable resource for those seeking to enhance their understanding and application of data-driven solutions. Although it currently does not operate as an open-access journal, it is committed to disseminating high-quality research that shapes the future of analytics and computation. The journal's headquarters in Switzerland further enriches its international scope, fostering a global dialogue among scholars and practitioners alike.

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.

Advances in Data Science and Adaptive Analysis is a prestigious journal dedicated to the advancement of knowledge within the rapidly evolving fields of data science and adaptive analysis. Published by WORLD SCIENTIFIC PUBL CO PTE LTD, this journal aims to serve as a platform for researchers, professionals, and students to disseminate innovative findings and methodologies. With a focus on interdisciplinary approaches, it invites contributions that explore the application of adaptive techniques in tackling complex data-driven challenges. Situated in Singapore, the journal stands out for its commitment to high-quality research, making significant impacts in the academic community and beyond. Although the journal currently does not offer open access, it remains a crucial resource for those striving to push the boundaries of data science research and its practical applications.

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.

Communications for Statistical Applications and Methods is a vital academic journal dedicated to advancing the field of statistics, with a particular focus on practical applications and methodologies. Published by the Korean Statistical Society, this journal has become a significant resource for researchers, practitioners, and students engaged in statistical sciences and its diverse applications in various fields including finance and modeling. Operating without an Open Access format, the journal is accessible through institutional subscriptions, allowing a broad audience to benefit from its insights. The journal covers works from its inception in 2017 to 2024, and although it currently ranks in the Q4 and Q3 quartiles across various mathematical and statistical categories, its commitment to quality research makes it a noteworthy platform for emerging trends and innovations. The journal not only serves to disseminate knowledge but also fosters collaboration among statisticians, ensuring that crucial advancements in statistical applications are communicated effectively.

Chemometrics and Intelligent Laboratory Systems is a distinguished journal published by Elsevier, disseminating pivotal research and innovations at the intersection of analytical chemistry, computer science applications, and chemical engineering. With an impressive impact factor reflecting its scholarly influence, the journal aims to advance the development and implementation of chemometric methods, artificial intelligence, and intelligent systems in laboratory settings. Since its inception in 1986, the journal has consistently featured high-quality articles, currently positioned in the Q2 quartile across multiple relevant fields including Analytical Chemistry and Process Chemistry. Based in the Netherlands, the journal invites rigorous contributions that enhance the understanding and application of sophisticated data analysis techniques in scientific research. Although it currently does not offer open access options, the journal remains a vital resource for researchers and professionals dedicated to exploration and advancements in laboratory methodologies and analytical technologies.