Applied Computational Intelligence and Soft Computing, published by HINDAWI LTD, is a premier open access journal that has been disseminating critical research since 2009, focusing on the intersection of artificial intelligence and soft computing. With an impressive array of quartile rankings in 2023, including Q2 in Civil and Structural Engineering and Computational Mechanics, this journal has established itself as a significant contributor to the fields of computer science and engineering. Based in Egypt, it plays a vital role in advancing knowledge by providing researchers, professionals, and students with easy access to high-quality studies. The journal’s rigorous peer-review process ensures that only the most impactful research is highlighted, making it an essential resource for those looking to stay abreast of the latest innovations and methodological advancements in applied computational intelligence. Its Scopus rankings further affirm its influence and reputation within the academic community, exemplifying its commitment to facilitating collaboration and fostering intellectual discourse in various scientific domains.

Cluster Computing - The Journal of Networks Software Tools and Applications, published by Springer, is a premier academic journal catering to the vibrant fields of computer networks and software technologies. With an impressive impact factor and recognized as a Q1 journal in both Computer Networks and Communications and Software categories for 2023, it ranks within the top echelons of its field, boasting a Scopus rank of #50 out of 395 and #59 out of 407 respectively, highlighting its influence and reach. The journal, which has been in continuous publication since 2005, serves as a vital platform for groundbreaking research, offering insightful articles and tools that drive innovation in network computing. Researchers, professionals, and students are invited to contribute to and benefit from the dynamic discourse presented in this journal, which is pivotal for advancing knowledge and enhancing practical applications in a rapidly evolving technological landscape.

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.

COMPUTER, published by the IEEE COMPUTER SOC, stands as a pivotal resource in the field of computer science, encompassing a broad range of topics and innovations within the industry. With an ISSN of 0018-9162 and E-ISSN 1558-0814, this esteemed journal features high-impact research articles that contribute significantly to the advancement of technology, demonstrating a prestigious Q1 classification in the Computer Science (miscellaneous) category for 2023. Positioned within the top percentile of Scopus rankings (ranked #84 out of 232), COMPUTER serves as an essential platform for sharing pioneering ideas and emerging trends that shape the future of computing. Although it does not currently offer open access, the journal's rigorous peer-review process ensures the publication of high-quality content. Researchers, professionals, and students alike will find invaluable insights into computer science developments from 1970 through 2024, making it a vital tool for anyone dedicated to this ever-evolving field.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, published by SPRINGER, is a premier journal dedicated to advancing the fields of applied mathematics and computer science applications. With an impressive impact factor and a distinguished ranking of #5/635 in Applied Mathematics and #19/817 in Computer Science Applications as of 2023, this journal stands in the upper echelon of academic literature, evidenced by its classification in the Q1 category. Established in 1994 and running through to 2024, the journal serves as a vital platform for the dissemination of research that utilizes computational methods to solve complex engineering problems. Researchers, professionals, and students alike benefit from its rigorous peer-review process and high-quality articles, fostering innovation and collaboration within the computational engineering community. Although it does not offer Open Access, its insights are invaluable for those looking to stay at the forefront of engineering methodologies and computational advancements.

Applied Computer Systems is a distinguished journal published by SCIENDO, specializing in the dynamic field of computer science and technology. With the ISSN 2255-8683 and E-ISSN 2255-8691, this Open Access journal has been committed to disseminating high-quality research since 2008, ensuring global accessibility for researchers and practitioners alike. Hailing from Warsaw, Poland, the journal serves as a crucial platform for innovative studies that delve into applied computing methodologies and their diverse applications across industries. By maintaining rigorous peer-review standards, Applied Computer Systems supports the advancement of knowledge in computing, making it an essential resource for students, professionals, and academics seeking to stay at the forefront of technological progress. Engage with a community dedicated to exploring the integration of computer systems in a rapidly evolving digital landscape.

The International Journal on Smart Sensing and Intelligent Systems serves as a pivotal platform for groundbreaking research in the fields of Control and Systems Engineering and Electrical and Electronic Engineering. Published by SCIENDO since 2008, this open access journal facilitates wide dissemination of knowledge, enabling researchers and professionals to share and access innovative ideas without barriers. With an ISSN of 1178-5608 and a strong commitment to advancing smart sensing technologies, it is recognized for its scholarly contributions and has achieved a respectable Q3 category ranking in both engineering categories as per the 2023 classifications. Covering diverse topics related to intelligent systems, the journal is positioned to impact the development of next-generation solutions in engineering. Its ongoing convergence from 2010 to 2024 highlights a dedication to fostering collaboration and discourse among scholars and practitioners across the globe.

AUSRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, published by Wiley, stands as a significant platform for the dissemination of statistical knowledge and applications, specifically within the realms of statistics and probability. With an impact factor reflective of its quality and standing, the journal operates in a Q3 category for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, positioning it among the important scholarly resources in its field. As a valuable resource for researchers, professionals, and students, the journal encourages the submission of innovative research articles that push the boundaries of statistical science. Offering both print and open access options, it ensures broad accessibility, promoting a culture of collaboration and knowledge sharing across the global statistical community. Covering research from 1998 to 2024, it remains dedicated to advancing understanding in statistical methodologies and their applications, cementing its role in fostering academic discourse and practical advancements in the field.

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, published by the Institute of Information Science in Taiwan, is a pivotal platform for the dissemination of innovative research in the multidisciplinary fields of information science and engineering. Established in 1993, the journal primarily focuses on areas such as library and information sciences, human-computer interaction, hardware and architecture, as well as computational theory and software development. Despite holding a current Q4 ranking in several categories, the journal demonstrates significant potential for growth, particularly in computation and software systems, as evidenced by its Scopus rankings and percentiles. Researchers, professionals, and students will find this journal to be an invaluable resource to stay abreast of evolving theories and technologies in information science. The journal is accessible through traditional subscription models, fostering a broad academic outreach. It serves to enhance knowledge-sharing and collaboration within this dynamic and ever-evolving field.

Frontiers in Big Data, published by Frontiers Media SA in Switzerland, is a leading open access journal that has established itself as a vital resource for scholars and practitioners in the expanding realms of artificial intelligence, computer science, and information systems since its inception in 2018. With an impressive impact factor reflected in its Q2 rankings across multiple categories, including Artificial Intelligence, Computer Science (Miscellaneous), and Information Systems, this journal serves as a pivotal platform for disseminating groundbreaking research and promoting interdisciplinary collaboration. The journal's commitment to open access ensures that high-quality research is readily accessible to a global audience, fostering the exchange of innovative ideas and advancements in big data technologies. By creating an inclusive space for diverse perspectives, Frontiers in Big Data aims to bridge the gap between theoretical research and practical application, making it an essential read for anyone invested in the future of data science.