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.

The Journal of Internet Technology (ISSN: 1607-9264, E-ISSN: 2079-4029) is a leading academic publication, fostered by the LIBRARY & INFORMATION CENTER at National Dong Hwa University, Taiwan. Established in 2004, the journal has become an essential resource for researchers, professionals, and students in the fields of Computer Networks and Communications and Software Development, achieving a commendable Q3 ranking in both categories as of 2023. With an impressive track record extending to 2024, the journal offers a platform for disseminating high-quality research and innovative ideas. Notably, it ranks #212 out of 395 in Computer Networks and Communications and #251 out of 407 in Software as per Scopus metrics. The journal remains committed to advancing knowledge and fostering interdisciplinary collaboration in the rapidly evolving digital landscape, making it a vital tool for those looking to stay at the forefront of internet technology research.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, published by Wiley in the United Kingdom, serves as a pivotal platform for advancing research and innovation in the fields of computational theory, computer networks, and practical applications of computer science. With an impressive impact factor and recognition in the Q2 category for disciplines such as Computational Theory and Mathematics, this journal attracts a diverse range of scholarly articles that address the current challenges and developments in these areas. It boasts a comprehensive viewership with options for Open Access, enabling wide dissemination of knowledge. Indexed by Scopus with notable rankings in multiple categories, including a remarkable position in Computational Theory and Mathematics (Rank #41/176), the journal not only elevates academic discourse but also fosters collaboration among researchers, professionals, and students alike. As it progresses toward its 2024 milestone, CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE remains dedicated to publishing high-quality research that prepares its readership for the evolving technological landscape.

COMPUTING AND INFORMATICS is a peer-reviewed academic journal published by the Slovak Academy of Sciences Institute of Informatics, focusing on various aspects of computer science and its applications. Established in 2000, this journal has garnered attention for its emphasis on computational theory, computer networks, software development, and hardware architecture, placing it in the competitive landscape of academic publishing with currently a Q3 ranking in the fields of Computational Theory and Mathematics, and Computer Networks and Communications, as well as Q4 ranking in Software and Hardware and Architecture categories. Readers can access its findings through Open Access, promoting wider dissemination of innovative research. With an ISSN of 1335-9150 and an E-ISSN of 1335-9150, the journal serves as a vital platform for showcasing cutting-edge research in the field, aiming to bridge theoretical foundations with practical applications. This journal not only contributes to the academic community but also supports the ongoing advancements in technology and informatics, making it an important resource for researchers, professionals, and students keen on staying at the forefront of the field.

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.

COMPUTER JOURNAL, published by Oxford University Press, is a distinguished platform for innovative research in the field of computer science, with a focus on general and miscellaneous aspects. The journal, established in 1967, continues to advance the boundaries of knowledge in computational technologies, algorithms, and interdisciplinary applications, contributing to its impressive ranking of Q2 in the 2023 Scopus category for Computer Science. With a robust ISSN of 0010-4620 and E-ISSN 1460-2067, it serves as a vital resource for researchers, professionals, and students seeking to stay at the forefront of technological advancements. Though not an open-access journal, it provides numerous access options via institutional subscriptions, making its high-impact articles widely available, especially as the journal bridges over five decades of research from 1967 to 2024. The COMPUTER JOURNAL is committed to fostering scholarly communication and ensuring that critical insights in the ever-evolving realm of computer science reach a diverse audience, thus solidifying its role as an essential resource in academia.

Journal of Parallel and Distributed Computing, published by Academic Press Inc. Elsevier Science, is a premier international journal that has been advancing the field of computer science since its inception in 1984. Renowned for its rigorous peer-review process and high-impact research, it holds an impressive impact factor and is categorized in the top quartiles (Q1 and Q2) across multiple domains, including Computer Networks and Communications, Hardware and Architecture, Software, Theoretical Computer Science, and Artificial Intelligence. The journal is dedicated to publishing cutting-edge research that explores the latest developments in parallel and distributed computing, fostering innovation and collaboration among researchers, professionals, and students alike. With a comprehensive scope that spans theoretical foundations, practical applications, and advanced technologies, it serves as an essential resource for anyone invested in these dynamic fields. As a testament to its influence, the journal ranks in the top tiers of Scopus citations, solidifying its reputation as a thought leader in computing research.

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.

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.

Welcome to the International Journal of Distributed Systems and Technologies, a prominent academic platform published by IGI Global dedicated to advancing the field of distributed systems and technologies. With an ISSN of 1947-3532 and an E-ISSN of 1947-3540, this journal, established in 2010 and continuing through 2024, offers a unique venue for researchers, professionals, and students to disseminate their findings in the realms of computer networks, communications, hardware, and architecture. Despite its current placement in the Q4 quartile for both computer networks and communications and hardware and architecture categories in 2023, the journal is committed to fostering innovative solutions and interdisciplinary collaboration that can drive future advancements. Although not open access, contributions to this journal not only receive rigorous peer review but also have the potential to significantly impact the community, underscored by a focus on applicable research that addresses the emerging challenges in technology. As part of a rich repository, the journal invites you to explore its latest issues and join in shaping the future of distributed systems.