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.

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.

COMPUTER VISION AND IMAGE UNDERSTANDING is a leading academic journal published by Academic Press Inc, Elsevier Science, dedicated to the advancement of the fields of computer vision, image understanding, and pattern recognition. Since its inception in 1993, this esteemed publication has garnered a reputation for excellence, achieving a remarkable Q1 ranking in the categories of Computer Vision and Pattern Recognition, Signal Processing, and Software as of 2023. With its robust impact factor and high visibility in the scientific community—ranking #22 out of 106 in Computer Vision and Pattern Recognition and #27 out of 131 in Signal Processing—this journal serves as a vital resource for researchers, professionals, and students looking to explore and contribute to state-of-the-art developments. Although it does not operate under an Open Access model, its rigorous peer-reviewed content ensures quality and relevance in a rapidly evolving technological landscape. The journal’s commitment to fostering innovation makes it an essential tool for anyone engaged in the study and application of computer vision technologies.

IEEE Journal of Selected Topics in Signal Processing is a premier academic publication dedicated to the advancement of knowledge in the field of signal processing. Published by IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, the journal boasts an impressive impact factor that places it in the top tier of its category; ranked Q1 in both Electrical and Electronic Engineering and Signal Processing for 2023. Given its esteemed standing, the journal serves as a vital resource for researchers, professionals, and students alike, providing cutting-edge insights and developments that shape the future of signal processing. The journal encompasses a wide array of topics relevant to the evolving landscapes of electrical engineering and computer science, with particular significance in innovative applications and methodologies. As a platform for disseminating high-quality research, this journal remains essential for those seeking to stay at the forefront of this dynamic field. You can explore the latest contributions and findings, benefiting from the journal's influential status in the realm of signal processing.

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.

INTERNATIONAL JOURNAL OF COMPUTER VISION, published by Springer, is a premier peer-reviewed journal that stands at the forefront of the fields of Computer Vision and Artificial Intelligence. With a remarkable impact factor and rankings placing it in the Q1 category across key areas such as Computer Vision and Pattern Recognition, as well as Software, this journal serves as an essential resource for researchers, professionals, and students alike. Since its inception in 1987, it has aimed to advance the understanding and methodologies within the rapidly evolving landscape of computer vision technologies. Its location in the Netherlands underlines its international significance, and with Scopus rankings placing it in the top percentiles of its categories, the journal is recognized for its contribution to groundbreaking research and innovative applications. Although it is not an open-access journal, it still provides extensive access options through institutional and personal subscriptions, offering its readers in-depth insights and findings pivotal to their work in artificial intelligence and computational technologies.

MACHINE VISION AND APPLICATIONS is a distinguished peer-reviewed journal published by SPRINGER, serving as a vital platform for innovative research in the fields of computer vision, pattern recognition, and their applications within hardware and software systems. Since its inception in 1988, the journal has been at the forefront of disseminating cutting-edge findings and advances in machine vision technologies, significantly contributing to the global academic discourse. With an impressive track record, the journal ranks in the Q2 category across various domains in the 2023 Scopus rankings, reflecting its esteemed position in Computer Science Applications, Computer Vision and Pattern Recognition, Hardware and Architecture, and Software. Although it does not currently offer open access options, MACHINE VISION AND APPLICATIONS remains a critical resource for researchers, professionals, and students eager to explore emerging trends and methodologies in the rapidly evolving landscape of machine vision.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS is a premier publication dedicated to advancing the field of artificial intelligence, fuzzy systems, and related engineering disciplines. Published by IOS PRESS, this journal plays a vital role in disseminating innovative research and methodologies that push the boundaries of knowledge from its inception in 1993 through 2024. With an impact factor underscoring its significance, it maintains a strong reputation for quality and rigor, achieving Q3 in Artificial Intelligence and Q2 in Engineering (miscellaneous) as reported in 2023. Researchers can access invaluable insights into current trends and applications, making it an essential resource for professionals and scholars alike. The journal welcomes contributions that bridge theoretical advancements and practical implementations, fostering a community of interdisciplinary collaboration. Situated in the heart of the Netherlands, the JOURNAL OF INTELLIGENT & FUZZY SYSTEMS is committed to enhancing understanding in the realms of mathematics, statistics, and probability, with Scopus rankings reflecting its competitive edge across various fields.

Jordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.

Computer Methods and Programs in Biomedicine, published by ELSEVIER IRELAND LTD, is a leading journal at the intersection of computer science and biomedical research. With an impressive impact factor evidenced by its Q1 rankings in multiple categories—Computer Science Applications, Health Informatics, and Software—this journal ranks highly among peer publications, showcasing its significance in advancing interdisciplinary research. Covering a wide array of topics since its inception in 1985, it is particularly crucial for those invested in the innovation of computational methods applied to the biomedical field. The journal has established a strong reputation, with Scopus rankings placing it in the top percentiles across its relevant sectors, including the 14th position out of 138 in Health Informatics. Researchers, practitioners, and students looking to explore current trends, methodologies, and advancements in biomedical applications of computer science will find this journal an invaluable resource.