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.

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.

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.

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.

International Journal of Data Mining Modelling and Management, published by InderScience Enterprises Ltd, is a prominent academic platform dedicated to the exploration and advancement of data mining techniques and their applications across various domains. Located in the picturesque environment of Geneva, Switzerland, this journal serves as a crucial resource for researchers, professionals, and students engaged in the fields of Computer Science, Management Information Systems, and Modeling and Simulation. With an ISSN of 1759-1163 and an E-ISSN of 1759-1171, the journal has steadily converged its scope from 2008 to 2024, emphasizing innovative methodologies and dynamic developments in data analytics. Although currently categorized in Q4 for several relevant fields according to 2023 quartiles, the journal is committed to elevating its impact and outreach through rigorous peer-reviewed research, making it an essential read for those aiming to stay at the forefront of data-driven decision-making and management practices. Whether you are a seasoned researcher or an eager student, the International Journal of Data Mining Modelling and Management offers invaluable insights and contributions to the evolving conversation in data science.

Informatics-Basel is a leading international, peer-reviewed journal published by MDPI that has been at the forefront of disseminating high-quality research in the field of informatics since its establishment in 2014. Based in Switzerland, this Open Access journal strives to provide a platform for innovative studies across various domains, including Communication, Computer Networks and Communications, and Human-Computer Interaction, demonstrating its strong impact within these fields with impressive rankings: Q1 in Communication and Q2 in both Computer Networks and Communications and Human-Computer Interaction. Researchers and scholars are encouraged to contribute to the advancing dialogue on critical issues and emerging technologies, as evidenced by its esteemed Scopus rankings, placing it in the top percentiles of its respective categories. With its commitment to elevating knowledge accessibility, Informatics-Basel has become an essential resource for the academic community, stimulating collaboration and the sharing of ideas from 2014 to 2024 and beyond.

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.

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.

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.