Machine Learning and Knowledge Extraction, published by MDPI, is an esteemed Open Access journal that has been at the forefront of disseminating cutting-edge research since its inception in 2019. Based in Switzerland, this journal has established itself as a significant contributor to the fields of Artificial Intelligence and Engineering, currently ranking in the Q2 category in Artificial Intelligence and Q1 in Engineering (miscellaneous) for 2023. With a notable Scopus ranking, it holds the 35th position out of 204 in Engineering, placing it in the 83rd percentile, while it ranks 127th out of 350 in Computer Science, reaching the 63rd percentile. Machine Learning and Knowledge Extraction serves as a vital platform for researchers, professionals, and students alike, promoting insightful discussions, innovative methodologies, and profound discoveries in machine learning and data extraction techniques. The journal's open access model ensures that groundbreaking research is widely accessible, fostering collaboration and advancing knowledge across various disciplines.

KNOWLEDGE AND INFORMATION SYSTEMS, published by SPRINGER LONDON LTD, is a distinguished journal in the field of information systems, artificial intelligence, and human-computer interaction. With its ISSN 0219-1377 and E-ISSN 0219-3116, this journal has built a robust reputation since its inception, featuring a convergence of valuable research from 2005 through 2024. Catering to a diverse academic audience, it is classified among the leading journals in its category, proudly holding a Q1 ranking in Information Systems and Q2 rankings in multiple other domains. The journal aims to publish cutting-edge research that not only advances theoretical understanding but also provides practical applications within these rapidly evolving fields. Although it is not an Open Access journal, subscribers can access a wealth of knowledge critical for researchers, practitioners, and students looking to enhance their expertise. With a 2023 Scopus rank placing it within the 66th percentile for Information Systems, KNOWLEDGE AND INFORMATION SYSTEMS is an invaluable resource for those committed to pushing the frontiers of knowledge in technology and information science.

Journal of Information Assurance and Security, an esteemed publication by DYNAMIC PUBLISHERS, INC, serves as a pivotal platform for the dissemination of innovative research and insights in the field of information security and assurance. With its ISSN 1554-1010 and E-ISSN 1554-1029, this journal addresses critical vulnerabilities, emerging technologies, and methodologies that fortify data integrity and uphold privacy in our increasingly digital world. Although specific metrics such as the HIndex and Scopus ranks are currently unavailable, the journal is recognized for its contributions to both academia and industry, fostering collaboration among researchers, professionals, and students dedicated to advancing security protocols. The journal does not currently offer open access but ensures comprehensive accessibility through institutional subscriptions. As cybersecurity continues to be a paramount concern globally, the Journal of Information Assurance and Security stands out as an essential resource for groundbreaking studies and practical applications that drive the future of information protection.

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.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE, published by Graz University of Technology's Institute for Information Systems and Computer Media (IICM), stands as a pivotal resource in the field of computer science. Since its inception in 1994, this Open Access Journal has fostered a culture of knowledge sharing and collaboration, allowing readers from all corners of the globe to access cutting-edge research without barriers. With an impressive convergence of studies spanning from 1996 to 2024, the journal covers a breadth of topics within Computer Science, achieving a Q3 ranking in miscellaneous areas and a Q4 ranking in theoretical computer science as of 2023. It also holds significant standing in Scopus rankings, demonstrating its influence and reach among the scientific community. The journal is particularly valuable to researchers, professionals, and students eager to explore innovative ideas and techniques that push the boundaries of computer science. Based in Austria, the journal is dedicated to maintaining high standards of scholarly integrity while promoting interdisciplinary discourse and advancements in technology.

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.

Intelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.

The Journal of Experimental & Theoretical Artificial Intelligence, published by Taylor & Francis Ltd, serves as a premier platform for researchers and professionals interested in advancing the fields of artificial intelligence, software engineering, and theoretical computer science. Established in 1989, this peer-reviewed journal features original research and comprehensive reviews that explore innovative methodologies and emerging trends within these dynamic domains. With an impact factor that reflects its relevance, the journal currently ranks in Q3 across its categories, affirming its contributions to the scholarly community. The journal's commitment to quality and rigor invites submissions that bridge experimental and theoretical frameworks, thus fostering a deeper understanding of AI's applications and implications. Researchers and students can access insightful articles that drive critical discussions and inspire future work, making this journal an essential resource for anyone looking to delve into the complexities of artificial intelligence and its surrounding disciplines.

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.

Journal of King Saud University-Computer and Information Sciences, published by ELSEVIER, is a prestigious open-access journal focusing on the rapidly evolving fields of computer science and information technology. Since its inception in 1996, this journal has provided a platform for high-quality research and innovative ideas, promoting the dissemination of knowledge to a global audience. With a remarkable impact factor and ranked Q1 in the Computer Science (miscellaneous) category as of 2023, it stands among the top 11% of journals in its field, reflecting its commitment to excellence and relevance. The journal proudly carries the ISSN 1319-1578 and E-ISSN 2213-1248, and it is based in Saudi Arabia while being part of a global academic network. With a Scopus rank of #26 out of 232 in general computer science, the Journal of King Saud University-Computer and Information Sciences is an essential resource for researchers, professionals, and students seeking to stay at the forefront of technological advancement. As it continues to thrive through 2024, it invites contributions that will shape the future of computing and information sciences.