Machine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.

COMPUTERS IN INDUSTRY is a premier journal published by Elsevier, dedicated to the exploration and advancement of the intersection between technology and industrial applications. With a history spanning from 1979 to 2024, this high-impact journal holds prestigious Q1 rankings in both Computer Science and Engineering, showcasing its significant contribution to the fields of general engineering and computer science. Notably, it ranks #4 out of 307 journals and #9 out of 232 journals in their respective categories on Scopus, placing it in the top 2% of publications worldwide. Although it is not an Open Access journal, it continues to serve as a vital resource for researchers, professionals, and students seeking in-depth insights and innovative research findings in industrial computing. The journal’s objective is to publish high-quality, peer-reviewed articles that advance the understanding and application of computer systems in industrial environments, reaffirming its crucial role in driving technological progress and operational efficiency.

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.

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.

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.

Intelligent Decision Technologies-Netherlands, published by IOS PRESS, is an emerging journal dedicated to the dynamic fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 2007 and continuing through 2024, this journal aims to foster interdisciplinary research and innovation by providing a platform for cutting-edge studies and applications of intelligent systems. While its current impact factor reflects a growing influence within the scientific community, with quartile rankings ranging from Q3 to Q4 in various pertinent disciplines, Intelligent Decision Technologies plays a pivotal role in shaping future research directions. Although the journal does not offer open access, it remains accessible across academic institutions, encouraging researchers, professionals, and students to contribute to and engage with the latest advancements in decision technologies. With a commitment to quality and relevance, this journal seeks to advance knowledge and enhance the understanding of intelligent systems in today's rapidly evolving technological landscape.

Progress in Artificial Intelligence is a leading journal published by SpringerNature, dedicated to advancing knowledge and research in the field of artificial intelligence. With a strong emphasis on the latest developments from 2012 through 2024, this journal enjoys a prominent position, holding a Q2 ranking in the prestigious Artificial Intelligence category for 2023, as well as achieving an impressive ranking of 64 out of 350 in the Computer Science - Artificial Intelligence category on Scopus, placing it in the 81st percentile. Progress in Artificial Intelligence serves as an essential platform for researchers, professionals, and students seeking to share innovative algorithms, applications, and theoretical advancements. Although it operates under a subscription model, its commitment to disseminating high-quality research and fostering collaboration in the AI community significantly contributes to the ongoing evolution of this exciting discipline.

Information is a distinguished open-access journal published by MDPI since 2010, dedicated to advancing the field of Information Systems. With its E-ISSN 2078-2489, the journal serves as a crucial platform for researchers, professionals, and students to disseminate and access innovative research and methodologies in the domain of information science, data management, and technology. Based in Basel, Switzerland, the journal has established a commendable reputation in the academic community, currently holding a Q2 ranking in the prestigious Scopus category of Information Systems, and occupies the 74th percentile among its peers. The breadth of the journal's objectives is to promote and facilitate the open exchange of ideas, research findings, and emerging trends, fostering collaboration and knowledge growth in a rapidly evolving digital landscape. With an unwavering commitment to high-quality scholarship and accessible knowledge, Information plays an essential role in shaping the future of the information sciences.

Neural Network World, published by the Academy of Sciences of the Czech Republic, Institute of Computer Science, is a preeminent journal dedicated to the fields of artificial intelligence, hardware and architecture, software engineering, and neuroscience. Since its inception in 1994, this journal has provided a platform for the dissemination of pioneering research and technical advancements in neural networks and their applications. Operating from the heart of Prague, this publication holds a Q4 quartile ranking across key categories, highlighting the growing interest and relevance in its multidisciplinary focus. Although it does not currently offer open access, its commitment to scholarly rigor ensures that readers engage with high-quality content, making it a valuable resource for researchers, professionals, and students alike. As the field evolves, Neural Network World serves as an essential forum for innovative ideas and critical discussions, reinforcing its significance in driving forward the future of technology and neuroscience.

The Journal of Business Analytics, published by Taylor & Francis Ltd, is an esteemed platform dedicated to advancing the field of business analytics through rigorous research and innovative methodologies. Since its inception in 2018, this journal has provided a vital resource for researchers, practitioners, and students interested in the intersection of data science, management, and decision-making processes. With an impact factor reflective of its commitment to high-quality research, the journal holds notable rankings across multiple disciplines, including Q2 in Industrial and Manufacturing Engineering and Management Information Systems, as well as Q3 in Artificial Intelligence and Management Science and Operations Research. The journal's broad scope encompasses pivotal themes such as predictive analytics, decision support systems, and statistical methodologies, making it an essential resource for a diverse audience. The Journal of Business Analytics continues to foster collaboration and knowledge exchange within the academic community, positioning itself as a cornerstone for those seeking to navigate the complex landscapes of business and technology.