Intelligent Decision Technologies-Netherlands, published by IOS PRESS, is an emerging journal dedicated to the dynamic fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 2007 and continuing through 2024, this journal aims to foster interdisciplinary research and innovation by providing a platform for cutting-edge studies and applications of intelligent systems. While its current impact factor reflects a growing influence within the scientific community, with quartile rankings ranging from Q3 to Q4 in various pertinent disciplines, Intelligent Decision Technologies plays a pivotal role in shaping future research directions. Although the journal does not offer open access, it remains accessible across academic institutions, encouraging researchers, professionals, and students to contribute to and engage with the latest advancements in decision technologies. With a commitment to quality and relevance, this journal seeks to advance knowledge and enhance the understanding of intelligent systems in today's rapidly evolving technological landscape.

Information and Organization is a leading academic journal published by ELSEVIER SCI LTD, specializing in the dynamic fields of Information Systems, Library and Information Sciences, Management Information Systems, and Organizational Behavior. With an impressive Impact Factor that reflects its esteemed reputation, this journal enjoys a Q1 ranking in multiple categories, highlighting its significance in both research and practical applications. Established in 1996, the journal has paved the way for innovative research, fostering a community of scholars and practitioners who are dedicated to exploring contemporary challenges and opportunities in information management and organizational practices. While primarily available through subscription, the journal's impact resonates globally, making it an essential resource for researchers, professionals, and students eager to advance their knowledge and contribute to the evolving discourse in these crucial areas. With its rigorous peer-review process and a focus on cutting-edge topics, Information and Organization is committed to disseminating high-quality research that informs practice and policy, ensuring its critical role in shaping the future of information and organizational studies.

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.

COMMUNICATIONS OF THE ACM, an esteemed journal published by the Association for Computing Machinery, has been at the forefront of the field of computer science since its inception in 1958. With an impressive impact factor and recognized as a top-tier Q1 journal in its category, it is currently ranked 10th out of 232 journals in the general computer science category according to Scopus rankings. This journal provides a vital platform for researchers, professionals, and students to disseminate innovative ideas and advancements across various domains of computing. Although it does not offer open access, the journal remains accessible through institutional subscriptions, furthering its reach and influence within the academic community. As researchers continue to explore the rapid evolution of technology, COMMUNICATIONS OF THE ACM serves as an essential resource for high-quality research, fostering knowledge advancements and collaborative discourse within the ever-expanding world of computer science.

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.

Frontiers in Big Data, published by Frontiers Media SA in Switzerland, is a leading open access journal that has established itself as a vital resource for scholars and practitioners in the expanding realms of artificial intelligence, computer science, and information systems since its inception in 2018. With an impressive impact factor reflected in its Q2 rankings across multiple categories, including Artificial Intelligence, Computer Science (Miscellaneous), and Information Systems, this journal serves as a pivotal platform for disseminating groundbreaking research and promoting interdisciplinary collaboration. The journal's commitment to open access ensures that high-quality research is readily accessible to a global audience, fostering the exchange of innovative ideas and advancements in big data technologies. By creating an inclusive space for diverse perspectives, Frontiers in Big Data aims to bridge the gap between theoretical research and practical application, making it an essential read for anyone invested in the future of data science.

Surveillance & Society, published by the SURVEILLANCE STUDIES NETWORK, is a leading open-access journal dedicated to advancing the interdisciplinary field of surveillance studies. Since its inception in 2002, this UK-based journal has provided a vital platform for scholars, practitioners, and policymakers to engage critically with the evolving dimensions of surveillance, privacy, and data governance in contemporary society. With an impressive impact reflected in its Q2 category rankings in both Safety Research and Urban Studies, alongside robust Scopus rankings—38th in Safety Research and 77th in Urban Studies—this journal plays a pivotal role in shaping global discourse on these pressing issues. The journal's open-access model ensures that cutting-edge research is widely accessible, fostering an environment where innovative ideas and practices can flourish. As we move towards 2024, Surveillance & Society continues to invite contributions that probe the social implications of surveillance technologies, urging a critical dialogue that benefits researchers, students, and professionals alike.

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.

Communications of the Association for Information Systems (ISSN: 1529-3181, E-ISSN: 1529-3181) is a leading academic journal published by the Association for Information Systems, dedicated to advancing the field of Information Systems. With a commendable impact factor and classified in the Q2 quartile for Information Systems as of 2023, the journal serves as a vital platform for cutting-edge research, innovative methodologies, and theoretical advancements. It operates within a global academic context, contributing significantly to the understanding of information systems' roles and impacts across industries. Researchers, professionals, and students can access a wealth of scholarly articles and case studies that explore contemporary issues and transformative technologies. As its publication timeline extends from its convergence years of 2006, through to 2024, Communications of the Association for Information Systems continues to solidify its reputation as a necessary resource for those seeking to deepen their knowledge and engage with the latest developments in the field.

Big Earth Data is a prestigious open-access journal that has been at the forefront of advancing research in the intersection of earth science and computer technology since its inception in 2017. Published by TAYLOR & FRANCIS LTD in the United Kingdom, this journal is dedicated to disseminating groundbreaking findings and innovative methodologies in the fields of Earth and Planetary Sciences and Computer Science Applications. With a commendable impact factor and an impressive positioning in the Scopus rankings—claiming Q1 status in Computers in Earth Sciences and Q2 in Computer Science Applications—it serves as a vital resource for researchers, professionals, and students alike. The journal encourages submissions that explore the integration of big data technologies in managing, analyzing, and visualizing earth-related data, thereby fostering interdisciplinary collaboration. Since embracing its open-access model, Big Earth Data has enhanced the accessibility of high-quality research, promoting a broader dialogue in the scientific community and contributing to informed decision-making in global environmental challenges.