Welcome to the International Arab Journal of Information Technology, a prestigious publication under the aegis of ZARKA PRIVATE UNIVERSITY in Jordan, dedicated to advancing the field of Information Technology. First established in 2008, this journal has made significant strides in disseminating high-quality research, achieving an impressive Q2 ranking in Computer Science (miscellaneous) and securing a notable 57th percentile position in the Scopus rankings. With a comprehensive scope encompassing various sub-disciplines of computer science, the journal is committed to promoting scholarly dialogue and innovation among researchers, professionals, and students. While currently operating as a subscription-only journal, it remains a vital resource for the academic community seeking to explore the latest trends and advancements in technology. The International Arab Journal of Information Technology is not only a platform for original research but also a vibrant hub for ideas that shape the technological landscape of the Arab region and beyond.

Acta Universitatis Sapientiae Informatica, published by SCIENDO, is an esteemed open-access journal in the field of computer science and informatics. Since its transition to open access in 2013, the journal has fostered an inclusive academic environment that allows researchers, professionals, and students to freely access cutting-edge research and innovations. With its ISSN 1844-6086 and E-ISSN 2066-7760, Acta Universitatis Sapientiae Informatica aims to disseminate high-quality scholarly articles that cover a broad scope of topics ranging from theoretical foundations to practical applications in informatics. Located in Warsaw, Poland, the journal serves as an essential platform for advancing the discourse in computer science, thus playing a critical role in both regional and international research communities.

International Journal of Computer Applications in Technology is a reputable academic journal published by InderScience Enterprises Ltd, dedicated to advancing the field of computer applications across various domains including Computer Networks and Communications, Computer Science Applications, and more. With an ISSN of 0952-8091 and an E-ISSN of 1741-5047, this journal has been a credible source of research since its inception in 1976, transitioning into its current form in 1988. With its consistent rank in the Q3 quartile for several key engineering and computer science categories in 2023, it highlights the significance of the journal and its contributions to ongoing discourse in these fields. Researchers benefit from its wide-ranging scope, which encompasses both theoretical and practical applications of technology, making it an invaluable resource for both industry professionals and academic scholars. Although it currently does not provide open access, the journal remains committed to disseminating high-quality research that is essential for technological advancement and innovation.

Foundations of Data Science, published by the American Institute of Mathematical Sciences (AIMS), is a pioneering journal dedicated to advancing knowledge within the ever-evolving fields of data science, mathematics, and computational theory. With an impact factor reflecting its quality and relevance, this journal has established itself as a crucial resource for researchers and professionals alike, achieving remarkable rankings in the Scopus metrics across various mathematical categories, including 35th in Analysis and 70th in Statistics and Probability. The journal, which has been continuously growing in significance since its inception in 2019, focuses on both foundational theories and applied methodologies, providing open access to cutting-edge research from 2024 onward. Its commitment to fostering interdisciplinary collaboration ensures that it remains at the forefront of the data science realm, making it an essential platform for students, scholars, and practitioners aiming to deepen their understanding and contribute to the scientific community.

Social Network Analysis and Mining, published by SPRINGER WIEN, is a premier journal dedicated to the advanced study and application of social network analysis and data mining methodologies within the fields of communication, computer science, and media technology. With rigorous peer-review standards and a 2023 category ranking within the Q1 quartile for Communication and various Q2 rankings across Computer Science and Human-Computer Interaction, this journal not only highlights cutting-edge research but also influences current trends and methodologies in the discipline. The journal's articles are accessible through subscription, ensuring a broad reach among academic institutions and professionals. Covering converged years from 2011 to 2024, Social Network Analysis and Mining serves as an essential resource for researchers, practitioners, and students seeking to deepen their understanding of social networks’ roles in information systems and digital communication, reflecting significant insights from its Scopus rankings that position it at a high percentile among related fields.

International Journal of Data Warehousing and Mining, published by IGI Global, is a vital resource in the field of data management and analytics, catering to researchers, professionals, and students alike. With ISSN 1548-3924 and E-ISSN 1548-3932, this journal has been at the forefront of disseminating pioneering research since its inception in 2005 and will continue to do so through 2024. Despite its current categorization in the Q4 quartile for Hardware and Architecture as well as Software, and its Scopus rankings, the journal aims to foster innovation within the domains of data warehousing, data mining, and their applications across various sectors. The absence of an open access option does not diminish its significance; rather, it ensures that the journal maintains rigorous peer-review standards, providing high-quality research outputs that contribute to ongoing discussions and advancements within the field. Researchers and practitioners looking to stay updated on the latest trends and methodologies will find the International Journal of Data Warehousing and Mining an indispensable tool in their academic and professional endeavors.

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, published by Springer Singapore Pte Ltd, is a pivotal platform in the rapidly evolving realms of computer science and technology. With an ISSN of 1000-9000 and an E-ISSN of 1860-4749, this journal encompasses a diverse array of topics including computational theory, hardware and architecture, software engineering, and applications of computer science. Spanning over three decades from 1986 to 2024, it boasts an impressive standing within academic circles, ranking in the Q2 quartile across several key categories and achieving notable placement in Scopus metrics. Although this journal operates under a subscription-based model, it remains a crucial resource for researchers, professionals, and students seeking to advance their knowledge and contribute to discussions in computer science. The JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY is committed to fostering innovation and scholarly communication in the field, encouraging submissions that contribute substantive advancements in theory and application.

IEEE Intelligent Systems, published by the renowned IEEE Computer Society, stands at the forefront of research in the fields of Artificial Intelligence and Computer Networks and Communications. With an impressive Q1 ranking in both categories as of 2023 and Scopus rankings placing it in the top 5% of its field, this journal not only showcases cutting-edge scientific advancements but also serves as a vital resource for practitioners, academics, and students seeking to deepen their understanding and application of intelligent systems. The journal covers a broad range of topics including machine learning, data mining, and system architectures, reflecting its commitment to addressing contemporary challenges and innovations in technology. Although it does not offer open access, the journal's research contributions are invaluable, ensuring that its readership remains engaged with the latest findings and applications in a rapidly evolving field. For those interested in submitting high-quality research or staying updated on the latest developments, IEEE Intelligent Systems represents an essential hub of knowledge.

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is a premier journal published by WILEY PERIODICALS, INC, dedicated to the rapidly evolving fields of data mining and knowledge discovery. Since its inception in 2011, this journal has emerged as a vital resource for researchers and practitioners alike, boasting an impressive Q1 ranking in the field of Computer Science (miscellaneous) as of 2023, and is recognized for achieving a remarkable 98th percentile in Scopus rankings. The journal aims to disseminate high-quality, interdisciplinary research that addresses the theoretical and practical implications of data mining techniques, innovative algorithms, and knowledge discovery paradigms. With a commitment to fostering knowledge exchange among academia and industry, Wiley Interdisciplinary Reviews is essential for those looking to remain at the forefront of data science advancements. Researchers and professionals will find relevant discussions, cutting-edge methodologies, and comprehensive reviews that contribute significantly to the field's development.

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.