Computational Urban Science is a pioneering open-access journal published by SpringerNature, dedicated to the interdisciplinary exploration of urban systems through computational research and innovative technologies. Launched in 2021, the journal is committed to advancing understanding in fields such as Artificial Intelligence, Computer Science Applications, and Environmental Science, alongside its significant focus on Urban Studies—a category where it has attained a distinguished Q1 ranking. With a robust impact reflected in its Scopus rankings, including a 78th percentile in Urban Studies, Computational Urban Science serves as a vital platform for researchers and professionals seeking to address contemporary urban challenges with data-driven insights. This journal not only champions comprehensive discussions and research findings but also invites contributions that emphasize the role of computational methodologies in shaping sustainable urban environments. Embrace the opportunity to engage with transformative research and join a growing community dedicated to the future of urban science.

KSII Transactions on Internet and Information Systems is a leading academic journal dedicated to advancing the fields of Internet technology and information systems. Published by the KSII-Kor Soc Internet Information, this journal has established itself as a significant contributor to research since its inception in 2007, with a focus on innovative solutions and methodologies in computer networks and communications as well as information systems. With a Category Quartile of Q3 in both fields for 2023, it ranks in the 44th percentile among its peers according to Scopus, making it a reputable platform for authors to share their findings. While available in print, the journal also promotes open access, ensuring broad dissemination of research findings. The editorial team is committed to maintaining high scholarly standards and relevance, inviting contributions from researchers, professionals, and students eager to push the boundaries of knowledge in today's rapidly evolving digital landscape. For those engaged in or studying these dynamic fields, the KSII Transactions on Internet and Information Systems remains an invaluable resource for cutting-edge research.

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 & Society is a premier open-access journal published by SAGE Publications Inc, first established in 2014 in the United Kingdom. This influential journal has rapidly become a cornerstone in the landscape of big data research, with an impressive impact demonstrated by its Q1 ranking across various fields, including Communication, Computer Science Applications, Information Systems, and Library and Information Sciences. With its focus on the critical intersections between data analytics and societal implications, Big Data & Society serves as an essential platform for scholars, professionals, and students to disseminate cutting-edge research and foster discussion in these dynamic and impactful domains. Researchers benefit from its rigorous peer-review process and robust visibility, as evidenced by Scopus rankings placing it in the top percentiles across multiple categories. By upholding open-access principles, the journal ensures that scholarly work is readily available, facilitating broader engagement and knowledge transfer within the academic community and beyond.

Applied Computing Review is a prominent academic journal published by the Association for Computing Machinery (ACM), an esteemed organization known for advancing the computing profession. Focusing on the intersection of practical applications and theoretical foundations, this journal serves as a vital platform for disseminating research in the field of applied computing, facilitating knowledge sharing among researchers, professionals, and students alike. With an ISSN of 1559-6915, the journal encompasses a wide array of topics including software engineering, data analytics, and application development, addressing current trends and challenges in the industry. Although it does not offer open access, its rigorous peer-review process ensures high-quality publications that significantly contribute to the discipline. Positioned within a competitive landscape, Applied Computing Review is dedicated to fostering innovation and providing insightful perspectives that inspire further research, thereby solidifying its importance in the field of applied computing.

INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS

Published by WORLD SCIENTIFIC PUBL CO PTE LTD, the INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS plays a pivotal role within the fields of Computer Science and Information Systems. With a focus on the development and application of cooperative information systems, this journal aims to foster innovation and collaborative research among scholars and professionals. Established in 1996, the journal has consistently published high-quality research that contributes to a better understanding of cooperative methodologies, enhancing system efficiencies across various applications. While its impact factor remains undisclosed, the journal is positioned in the Q4 category of the Scopus rankings, indicating a growing presence in the academic community. Although it does not offer open access, its rich repository of articles remains accessible to subscribers and relevant institutions. Located in Singapore, this journal will continue to serve as a critical resource for researchers, practitioners, and students keen on exploring the evolving dynamics of information systems in today's interconnected world.

The International Journal of Data Mining and Bioinformatics, published by InderScience Enterprises Ltd, stands as a crucial platform for researchers and professionals dedicated to the intersection of data science and biological informatics. With its ISSN 1748-5673 and E-ISSN 1748-5681, this journal captures the essence of innovative research from 2006 to 2024. Though indexed in the Q4 category for Biochemistry, Genetics and Molecular Biology and Information Systems, it maintains a respectable Q3 status in Library and Information Sciences, reflecting its growing influence within the academic community. The journal also provides insightful contributions to the fields of big data analytics, machine learning, and computational biology. Although it is not currently an open-access journal, its relevance is underscored by its Scopus rankings, indicating a solid standing in the disciplines it encompasses. Researchers, students, and practitioners in data mining and bioinformatics are encouraged to explore the findings and methodologies presented, paving the way for future innovations in this dynamic field.

Stats, published by MDPI, serves as an invaluable open access platform dedicated to the fields of statistics and probability. Since its inception in 2018, the journal has been committed to disseminating high-quality research and promoting innovation in statistical methodologies through a rigorous peer-review process. Operating from Basel, Switzerland, Stats offers a global reach and aims to foster collaboration among researchers, professionals, and graduate students alike. With an impact factor indicating its emerging significance, the journal resides in the Q4 quartile of the statistics and probability category for 2023 according to Scopus rankings. This positions it within the evolving landscape of statistical research, enhancing its visibility and accessibility. Researchers are encouraged to contribute to this dynamic field and benefit from the journal's dedication to open access publishing, ensuring that research findings can reach a broad audience without barriers.

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, published by the Institute of Information Science in Taiwan, is a pivotal platform for the dissemination of innovative research in the multidisciplinary fields of information science and engineering. Established in 1993, the journal primarily focuses on areas such as library and information sciences, human-computer interaction, hardware and architecture, as well as computational theory and software development. Despite holding a current Q4 ranking in several categories, the journal demonstrates significant potential for growth, particularly in computation and software systems, as evidenced by its Scopus rankings and percentiles. Researchers, professionals, and students will find this journal to be an invaluable resource to stay abreast of evolving theories and technologies in information science. The journal is accessible through traditional subscription models, fostering a broad academic outreach. It serves to enhance knowledge-sharing and collaboration within this dynamic and ever-evolving field.

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.