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.

Big Data Research, published by Elsevier, is a leading academic journal dedicated to the exploration and advancement of Big Data methodologies and technologies. With an ISSN of 2214-5796, and a commendable impact reflected in its Scopus rankings—ranking Q2 in Computer Science Applications and Q1 in Information Systems—this journal offers a prominent platform for researchers and practitioners to share innovative findings in the realm of data science, analytics, and management. Since its inception in 2014, Big Data Research has fostered a multidisciplinary approach, addressing cutting-edge topics crucial for both academic inquiry and real-world applications. The journal's objectives include advancing the understanding of data-intensive systems, promoting essential methodologies for big data analytics, and enhancing data-driven decision-making processes across various industries. As an open access journal, Big Data Research is committed to disseminating knowledge widely, allowing researchers, professionals, and students to stay at the forefront of developments in this fast-evolving field. Its influence in the academic community is further underscored by a strong commitment to quality and relevance, making it an essential resource for anyone interested in the transformative power of big data.

Big Data, an esteemed journal published by MARY ANN LIEBERT, INC, serves as a leading platform within the realms of computer science and information systems. Launched in 2013, this journal has made significant strides in shaping the discourse around the management, analysis, and applications of large-scale data. With a commendable impact factor reflected in its 2023 quartile rankings—Q1 in Information Systems and Management, and Q2 in both Computer Science Applications and Information Systems—Big Data is recognized for its quality and influence, holding a notable position in Scopus rankings. Renowned for its rigorous peer-review process, the journal welcomes original research, reviews, and discussions that address the challenges and innovations associated with big data technologies. Researchers, professionals, and students alike will find Big Data an indispensable resource that not only highlights emerging trends but also fosters collaboration and knowledge sharing within the data science community. Access options are available through institutional subscriptions and individual access, ensuring a broad dissemination of critical research findings.

Big Data Mining and Analytics, published by TSINGHUA UNIVERSITY PRESS, stands at the forefront of interdisciplinary research in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive Q1 ranking in multiple categories as of 2023, this journal serves as a critical platform for researchers and professionals eager to explore innovative techniques and methodologies related to big data analytics. Since its transition to Open Access in 2018, Big Data Mining and Analytics has aimed to increase the visibility and accessibility of its cutting-edge research, making permanent strides in the global academic landscape. Housed in Beijing, China, and actively embracing the converged years from 2018 to 2024, the journal aims to cultivate a rich discourse on emerging trends and applications, ensuring its relevance in a rapidly evolving technological environment. Join a vibrant community of scholars dedicated to advancing the frontiers of knowledge in big data.

Information is a distinguished open-access journal published by MDPI since 2010, dedicated to advancing the field of Information Systems. With its E-ISSN 2078-2489, the journal serves as a crucial platform for researchers, professionals, and students to disseminate and access innovative research and methodologies in the domain of information science, data management, and technology. Based in Basel, Switzerland, the journal has established a commendable reputation in the academic community, currently holding a Q2 ranking in the prestigious Scopus category of Information Systems, and occupies the 74th percentile among its peers. The breadth of the journal's objectives is to promote and facilitate the open exchange of ideas, research findings, and emerging trends, fostering collaboration and knowledge growth in a rapidly evolving digital landscape. With an unwavering commitment to high-quality scholarship and accessible knowledge, Information plays an essential role in shaping the future of the information sciences.

Data & Knowledge Engineering is a prestigious, peer-reviewed journal dedicated to the fields of data management, information systems, and knowledge engineering. Published by Elsevier in the Netherlands, this journal serves as a critical resource for researchers, professionals, and students alike, offering a platform for high-quality, original research and innovative approaches in the realm of data-driven technologies and methodologies. With a considerable impact factor and classified in the Q2 quartile for Information Systems and Management, it ranks 47th out of 148 journals in its category, placing it in the esteemed 68th percentile according to Scopus metrics. Data & Knowledge Engineering covers a wide array of topics including database systems, data mining, and knowledge representation, ensuring that it remains at the forefront of advancing understanding and application in these dynamic fields. Engage with compelling articles and significant findings published since its inception in 1985, as the journal continues to shape the future of data-centric research up to 2024 and beyond.

JOURNAL OF BIOMEDICAL INFORMATICS, published by Academic Press Inc. Elsevier Science, is a premier peer-reviewed journal dedicated to the integration of computer science and health informatics to advance the field of biomedical engineering and healthcare. With its ISSN 1532-0464 and E-ISSN 1532-0480, this influential journal has established itself with an impressive impact factor, reflecting its high-quality research contributions. Recognized within the top quartile (Q1) of both Computer Science Applications and Health Informatics for 2023, the journal ranks #135 out of 817 in Computer Science Applications and #25 out of 138 in Health Informatics according to Scopus metrics. Offering open access options, it fosters extensive dissemination and accessibility of groundbreaking research findings to the scientific community. As a scholarly platform from 2001 to 2024, it is engineered to cater to the educational needs of researchers, professionals, and students, promoting innovative studies that bridge the gap between technology and healthcare.

Big Data and Cognitive Computing is a premier open-access journal published by MDPI, dedicated to advancing research in the dynamic fields of artificial intelligence, computer science, information systems, and management information systems. Since its inception in 2017, the journal has established a significant presence, reflected in its impressive categorization within the Q2 quartiles for multiple disciplines in the 2023 rankings. Situated in Switzerland, the journal provides a vital platform for researchers, professionals, and students to publish groundbreaking work and access high-quality articles, enhancing the exploration of big data applications powered by cognitive computing. With an increasing global emphasis on data-driven decision-making, Big Data and Cognitive Computing offers unrestricted access to innovative research findings, addressing both theoretical and practical aspects. The journal's contributions are integral for those looking to stay at the forefront of technological advancements and their implications across various sectors.

ELECTRONIC LIBRARY, published by EMERALD GROUP PUBLISHING LTD, serves as a pivotal resource in the realms of Library and Information Sciences as well as Computer Science Applications. Established in 1983 and continuing through 2024, this journal showcases critical research and developments that shape modern information practices and the utilization of electronic resources. With a respectable impact factor positioning it in the Q2 quartile for Library and Information Sciences and Q3 for Computer Science Applications, the journal ranks #57 out of 280 in its field, reflecting its significance within the scholarly community. Authors are encouraged to contribute innovative studies that engage with current challenges and technological advancements, ensuring that the ELECTRONIC LIBRARY remains at the forefront of academic discourse. While the journal does not currently offer open access options, it remains an essential subscription-based resource for researchers, professionals, and students seeking to deepen their understanding of digital libraries and information management.

International Journal of Information Retrieval Research (ISSN: 2155-6377 | E-ISSN: 2155-6385) is an esteemed publication under the renowned IGI Global umbrella, dedicated to advancing the field of information retrieval through peer-reviewed research and innovative methodologies. With a focus on the intersection of computer science, data analytics, and library sciences, this journal serves as a vital resource for researchers, practitioners, and scholars seeking to explore the latest trends and practical applications in information retrieval systems. Although it does not currently offer Open Access options, the journal aims to reach a diverse audience by providing high-quality articles that drive discussions and forward research frontiers in this critical domain. The International Journal of Information Retrieval Research is pivotal for those seeking to enhance their understanding and application of information retrieval technologies in an increasingly data-driven world.