International Journal of Biometrics is a distinguished platform dedicated to advancing research in the multifaceted areas of biometrics and its applications across various disciplines. Published by InderScience Enterprises Ltd in the United Kingdom, this journal serves as a vital resource for researchers, professionals, and students involved in applied mathematics, computer science, and electrical engineering. With an ISSN of 1755-8301 and an E-ISSN of 1755-831X, the journal provides a curated collection of innovative studies and reviews that contribute to understanding and improving biometric technologies. As of 2023, it holds a Q4 ranking across several relevant categories, reflecting its commitment to fostering knowledge in an emerging field. Though currently non-open access, it remains accessible to academic institutions and professionals, aiming to bridge gaps in biometrics research and practice. The journal covers a wide scope of topics, notifying readers about essential developments in image processing, pattern recognition, and electronic engineering applications, making it an indispensable resource for anyone interested in the dynamic field of biometrics.

SIGNAL PROCESSING-IMAGE COMMUNICATION, published by Elsevier, is a leading journal in the fields of Computer Vision, Signal Processing, and Electrical Engineering. With an impressive range of Quartile rankings in 2023, including Q1 in Electrical and Electronic Engineering and Q2 in Signal Processing, this journal is vital for researchers and professionals seeking the latest advancements and comprehensive studies in image communication technologies. Issued in the Netherlands, SIGNAL PROCESSING-IMAGE COMMUNICATION has been an essential resource since its inception in 1989, fostering innovation and collaboration among academia and industry. The journal provides a platform for high-quality peer-reviewed research, addressing significant challenges and solutions in the convergence of image processing and communication. Although currently not an Open Access journal, it offers subscription options that ensure a broad dissemination of groundbreaking knowledge. With a robust reputation reflected in its Scopus ranks, this journal serves as an indispensable reference for students and experts aiming to stay at the forefront of developments in this dynamic field.

JOURNAL OF MATHEMATICAL IMAGING AND VISION, published by Springer, stands as a significant platform for advancing the fields of applied mathematics, computer vision, and pattern recognition, among others. With an ISSN of 0924-9907 and an E-ISSN of 1573-7683, this esteemed journal is based in the Netherlands and has been contributing to the scholarly discourse since its inception in 1992, with a converged focus through 2024. It has achieved reputable standings within several quartiles, including Q2 rankings across applied mathematics, geometry and topology, and condensed matter physics, reflecting its impact and relevance. Notably, the journal ranks within the top 5% in Geometry and Topology and maintains robust standings in Statistics and Probability. The JOURNAL OF MATHEMATICAL IMAGING AND VISION is dedicated to publishing high-quality research that bridges theoretical perspectives with practical applications, making it an essential resource for researchers, professionals, and students who are exploring the cutting-edge of mathematical imaging and its interdisciplinary applications.

Computational Visual Media, published by TSINGHUA UNIVERSITY PRESS, is a premier open access journal dedicated to advancing the fields of Artificial Intelligence, Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition. Since its inception in 2015, it has established a robust position within the academic community, consistently achieving Q1 rankings across its categories as of 2023. With exceptional Scopus rankings, including a remarkable percentile standing in the top 10% globally, the journal serves as a vital resource for researchers, professionals, and students eager to explore cutting-edge methodologies and technologies in computational visual media. The journal’s open access format enhances accessibility, fostering global collaboration and dissemination of knowledge, making it an indispensable platform for those at the forefront of innovation in these dynamic fields. The journal is headquartered in Beijing, China, and aims to publish high-quality research that not only contributes to theoretical advancements but also addresses practical challenges within computational visual technologies.

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.

COMPUTER SPEECH AND LANGUAGE, published by Academic Press Ltd - Elsevier Science Ltd, stands as a pivotal journal in the fields of Human-Computer Interaction, Software, and Theoretical Computer Science. With an esteemed Q2 ranking in Human-Computer Interaction and top-tier Q1 rankings in both Software and Theoretical Computer Science for 2023, this journal plays a critical role in disseminating innovative research and advancements in computational linguistics and interactive systems. Since its inception in 1986, it has become a sought-after platform for researchers, professionals, and students seeking to deepen their understanding of computer-aided speech processes and language technologies. The journal's comprehensive scope encompasses a wide range of interdisciplinary studies, fostering a collaborative research environment that explores the intersection of technology and human communication.

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, published by Academic Press Inc Elsevier Science, is an influential platform dedicated to the realms of visual communication, media technology, and advanced image representation. With a strong focus on interdisciplinary approaches, this journal aims to foster the exchange of innovative ideas among researchers and professionals in the fields of computer vision, image processing, and signal processing. Recognized for its significance, it boasts an impressive impact factor within its category quartiles; notably, it ranks Q2 in Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, while achieving Q1 in Media Technology. Based in the United States, the journal not only provides valuable insights into the latest developments from 1990 to 2024 but also encourages cutting-edge research that enhances multimedia systems and user interactions. As a vital resource for students, researchers, and industry professionals alike, the journal ensures a robust understanding of visual information processing, critical for navigating today's digital landscape.

INFORMATION SYSTEMS is a premier journal published by PERGAMON-ELSEVIER SCIENCE LTD, dedicated to advancing the fields of Information Systems, Hardware and Architecture, and Software. With its ISSN 0306-4379 and E-ISSN 1873-6076, this prestigious journal has established a significant presence in the academic community since its inception in 1975, paving the way for innovative research that continues through 2025. Ranked within the Q1 quartile across its core categories, INFORMATION SYSTEMS holds a notable position, with Scopus rankings including #28 in Computer Science - Hardware and Architecture and #64 in Software, both in the 84th percentile. Although it currently does not offer open access, the journal thrives as a vital resource for researchers, professionals, and students, fostering an environment where cutting-edge studies and industry applications converge. Housed in the United Kingdom, at The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England, this journal highlights its commitment to driving scholarly advancements and supporting the evolution of information technologies.

CAAI Transactions on Intelligence Technology is a premier peer-reviewed journal published by WILEY, dedicated to advancing the fields of Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, and Information Systems. Since its inception in 2017, this Open Access journal has rapidly ascended the ranks, achieving Q1 quartile status across multiple categories as of 2023, and is recognized for its rigorous standards and innovative research dissemination, evidenced by impressive Scopus rankings, including Rank #12 in Computer Vision and Pattern Recognition. Through its commitment to providing a platform for high-quality research, the journal invites contributions from scholars globally, fostering a collaborative environment that stimulates intellectual exchange and encourages advancements in intelligent technology. Addressed to researchers, professionals, and students alike, CAAI Transactions on Intelligence Technology serves as a vital resource for those aiming to stay at the forefront of technological innovation.

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a prestigious academic journal established in 1995 that serves as a critical platform for disseminating innovative research in the rapidly evolving fields of artificial intelligence, pattern recognition, and computer vision. With a focus on advancing theoretical and applied methodologies, the journal aims to bridge the gap between research and practical applications, making it essential reading for researchers, professionals, and students alike. The journal holds strong rankings within its categories, placing it in the Q4 for Artificial Intelligence, Q3 for Computer Vision and Pattern Recognition, and Q3 for Software as of 2023. Despite its growing influence, it continues to provide a rich resource for studies at the intersection of machine learning and computer science. The INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE not only contributes to academic discourse but also acts as a catalyst for technological advancement, making a significant impact on the scientific community.