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.

International Journal of e-Collaboration (ISSN: 1548-3673, E-ISSN: 1548-3681), published by IGI Global, is an influential academic journal dedicated to exploring the dynamic field of collaboration facilitated by electronic means. With a focus spanning from 2005 to 2024, this journal addresses critical aspects of e-collaboration within the realms of Computer Networks and Communications and Computer Science Applications, which are reflected in its current Scopus rankings. Though categorized in the lower quartiles (Q4) for both areas as of 2023, the journal provides a vital platform for researchers and professionals to disseminate and discuss innovative ideas and methodologies, contributing meaningfully to ongoing dialogues in these fields. As the demand for effective electronic collaboration continues to rise in both academia and industry, the International Journal of e-Collaboration remains a significant resource for those seeking to enhance their understanding and application of collaborative technologies. While not an open access publication, it offers a wealth of knowledge and insights that are crucial for academics, practitioners, and students alike in fostering successful collaborative environments.

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.

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 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.

IADIS-International Journal on Computer Science and Information Systems is a prominent platform dedicated to advancing research and knowledge in the field of computer science and information systems. Published by IADIS, this journal aims to disseminate innovative findings and theoretical advancements that address contemporary challenges and trends in technology. The journal fosters a rigorous peer-review process, ensuring that only high-quality research is shared with its audience, which includes researchers, professionals, and students from around the globe. Although the journal is not currently open access, it serves as a vital resource for those looking to deepen their understanding of the evolving landscape of computer science. The ISSN of this journal is 1646-3692, and it boasts a strong commitment to promoting interdisciplinary communication and collaboration in the realm of information technology, making it an essential read for anyone looking to stay at the forefront of this fast-paced field.

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.

Frontiers in Computer Science is a premier open-access journal published by Frontiers Media SA that has rapidly established itself as a prominent platform for scholarly research in the diverse and evolving field of computer science. With a notable impact factor reflecting its high citation rates, this journal aims to disseminate innovative findings and groundbreaking studies across multiple subdisciplines, including Computer Science Applications, Computer Vision and Pattern Recognition, and Human-Computer Interaction. Since its inception in 2019, and with a consistent trajectory from 2019 to 2024, it has garnered accolades, achieving Q2 ranking in several categories and an impressive Q1 in miscellaneous areas of computer science. Researchers, professionals, and students alike are encouraged to contribute to this dynamic journal that serves as a vital resource for advancing knowledge and fostering collaborative dialogue in the global computer science community. Frontiers in Computer Science is committed to providing open access to research, promoting unrestricted sharing of ideas and fostering innovation at the intersection of technology and society.

CAAI Transactions on Intelligence Technology is a premier peer-reviewed journal published by WILEY, dedicated to advancing the fields of Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, and Information Systems. Since its inception in 2017, this Open Access journal has rapidly ascended the ranks, achieving Q1 quartile status across multiple categories as of 2023, and is recognized for its rigorous standards and innovative research dissemination, evidenced by impressive Scopus rankings, including Rank #12 in Computer Vision and Pattern Recognition. Through its commitment to providing a platform for high-quality research, the journal invites contributions from scholars globally, fostering a collaborative environment that stimulates intellectual exchange and encourages advancements in intelligent technology. Addressed to researchers, professionals, and students alike, CAAI Transactions on Intelligence Technology serves as a vital resource for those aiming to stay at the forefront of technological innovation.

Founded in 2005, the International Journal of Intelligent Information Technologies serves as a pivotal platform for the dissemination of cutting-edge research in the fields of decision sciences and information systems. Published by IGI Global, this journal is dedicated to advancing the understanding of intelligent systems, data analytics, and technological innovations that drive modern decision-making processes. With an ISSN of 1548-3657 and an E-ISSN of 1548-3665, the journal is indexed strategically to ensure visibility among academia and industry professionals. Although it currently holds a ranking in the Q4 quartile of both decision sciences and information systems categories in 2023, it stands out for its comprehensive investigations into best practices and emerging trends in intelligent information technologies. It aims to provide readers with rigorous, peer-reviewed articles that offer practical insights and theoretical frameworks to facilitate informed decision-making in an increasingly data-driven world. Its commitment to quality research makes it an invaluable resource for researchers, professionals, and students alike who are eager to explore new dimensions of technology-assisted decision-making.