Journal on Multimodal User Interfaces, published by Springer, serves as a vital platform for scholarly exchange in the rapidly evolving fields of Human-Computer Interaction and Signal Processing. Established in 2008 and continuing through 2024, this journal maintains a high profile in academia, currently ranking in the Q2 category for both fields, indicating its significant contribution to ongoing research and practical applications. With its Scopus rankings placing it at #34 in Signal Processing and #49 in Human-Computer Interaction, it is recognized for publishing high-quality, impactful research. Although it is not an Open Access journal, the Journal on Multimodal User Interfaces remains accessible through institutional subscriptions. Researchers, professionals, and students will find the journal an essential resource for advancing knowledge and fostering collaboration in multimodal interaction technologies, which are crucial for enhancing user experience and developing intelligent systems.

Frontiers in Human Neuroscience is a premier open access journal published by FRONTIERS MEDIA SA, dedicated to advancing the understanding of the complexities of human neuroscience. With an ISSN of 1662-5161, the journal has established its prominence in various fields, achieving a Q2 ranking in categories such as Behavioral Neuroscience, Neuropsychology and Physiological Psychology, and Psychiatry and Mental Health as of 2023. Since its inception in 2008, Frontiers in Human Neuroscience has consistently contributed to the scholarly dialogue by offering a platform for innovative research that bridges the gap between neuroscience and behavioral science. The journal's rigorous peer-review process and commitment to open access ensures that findings are readily available, promoting collaboration and progress within the academic community. With an impact on neuroscience disciplines, it stands at the forefront of the field, inviting researchers, professionals, and students alike to engage with cutting-edge studies and developments. The journal's address is located in Lausanne, Switzerland, where it continues to flourish as a hub for neurobiological exploration.

The Journal of Electromagnetic Engineering and Science (ISSN: 2671-7255, E-ISSN: 2671-7263) is a premier Open Access journal published by the Korean Institute of Electromagnetic Engineering & Science. Since its establishment in 2001, it has been dedicated to advancing knowledge in the fields of Electrical Engineering, Electromagnetic Theory, and Communications, making significant contributions to both academia and industry. The journal holds an impressive Q2 quartile ranking in notable categories such as Computer Networks and Communications and Electrical and Electronic Engineering as of 2023, reflecting its robust scientific impact and reputation. It is indexed in Scopus, with commendable rankings in multiple fields, enhancing its visibility and reach among researchers. The journal's open-access model ensures that cutting-edge research is accessible to a global audience, fostering collaboration and innovation. Researchers, professionals, and students in the domain are encouraged to contribute and engage with high-quality articles that cover the latest advancements and trends in electromagnetic engineering and associated sciences.

ZHURNAL VYSSHEI NERVNOI DEYATELNOSTI IMENI I P PAVLOVA is a prominent academic journal dedicated to the fields of neuroscience and medicine, published by MEZHDUNARODNAYA KNIGA. Since its inception in 1951, this journal has served as a vital platform for disseminating innovative research and findings in the study of nervous activity and complex neural mechanisms. With its ISSN 0044-4677, it provides essential insights that cater to both seasoned researchers and emerging scholars alike. Although currently categorized within the Q4 tier in both the Medicine and Neuroscience fields, the journal actively contributes to advancing knowledge and understanding in these critical areas. The scope of the journal encompasses a broad range of topics pertinent to general neuroscience, making it an invaluable resource for professionals seeking to stay abreast of developments in this dynamic discipline. Researchers and students are encouraged to explore its extensive archives and engage with the diverse perspectives presented throughout its issues.

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.

DIGITAL SIGNAL PROCESSING is a leading academic journal published by Academic Press Inc Elsevier Science, serving as a vital resource in the fields of applied mathematics, artificial intelligence, signal processing, and electrical engineering. With an impressive set of rankings, including a Q2 designation in multiple categories such as Applied Mathematics and Computer Vision and Pattern Recognition, this journal aims to disseminate high-quality research that addresses both theoretical and practical aspects of digital signal processing. Its rigorous peer-review process ensures the publication of original articles, review papers, and innovative applications, making it an essential platform for researchers and professionals dedicated to advancing this dynamic field. While currently not an open-access journal, it maintains a significant impact factor, reflecting its esteemed position within the academic community. The journal's ongoing commitment to exploring new trends and methodologies positions it at the forefront of digital signal processing research, driving both scholarly inquiry and practical application from 1991 to 2024.

CIRCUITS, SYSTEMS AND SIGNAL PROCESSING, published by Springer Birkhauser, is a highly regarded journal in the fields of applied mathematics and signal processing, boasting an impact factor that reflects its robust academic contributions. Established in 1982, this journal aims to disseminate cutting-edge research that bridges the gap between theoretical advancements and practical applications in circuit design, systems theory, and signal processing. With a Thomason Scopus ranking of Q2 in Applied Mathematics and Q3 in Signal Processing, it stands out as a leading resource for researchers, professionals, and students seeking to enhance their knowledge and innovate within these disciplines. The journal provides insight into the latest trends and technologies, making it an essential reading for those engaged in the development of signal processing methodologies. Although it does not offer Open Access options, it remains a critical repository of knowledge with deep relevance in today's tech-driven landscape.

Cognitive Neurodynamics is a leading journal in the field of cognitive neuroscience, published by Springer in the Netherlands. With an ISSN of 1871-4080 and an E-ISSN of 1871-4099, this journal has established itself as a prominent platform for innovative research from its inception in 2007, continuing to enrich the academic landscape through 2024. Recognized for its significant contributions, Cognitive Neurodynamics holds a Q2 quartile ranking in cognitive neuroscience and impressively ranks #27 out of 115 in the Scopus database, placing it in the 76th percentile among its peers. While the journal is not open access, it offers a wealth of studies focusing on the intricate dynamics of cognitive processes and neurobiological mechanisms, making it essential reading for researchers, professionals, and students alike. Its objective is to bridge the gap between theoretical insights and practical applications, fostering a deeper understanding of cognition through multidisciplinary approaches. Explore the latest advancements in cognitive dynamics and contribute to the evolving dialogue within this fascinating field.

Image and Vision Computing, published by Elsevier, serves as a leading international journal focused on the dynamic fields of computer vision, pattern recognition, and signal processing. With its esteemed Q1 category rankings in these areas and an impressive standing in Scopus metrics, where it ranks 19th in Computer Vision and 23rd in Signal Processing, this journal has firmly positioned itself at the forefront of academic research and innovation. Established in 1983, it continues to publish cutting-edge research that drives advancements in technology and applications across various domains. The journal is committed to disseminating high-quality, peer-reviewed articles that address significant challenges and propose novel solutions, making it an essential resource for researchers, practitioners, and students alike. While not an open access journal, Image and Vision Computing offers a wealth of valuable insights into the ever-evolving landscape of visual computing technologies.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, published by Academic Press Ltd - Elsevier Science Ltd, is a leading journal that bridges multiple critical fields, including Aerospace Engineering, Civil and Structural Engineering, Computer Science Applications, Control and Systems Engineering, Mechanical Engineering, and Signal Processing. Established in 1987, this esteemed journal serves as an invaluable resource for researchers, professionals, and students seeking to advance the understanding of mechanical systems and their intimate relationship with signal processing techniques. With an impressive impact factor and consistently ranked in the Q1 category across various engineering and computer science disciplines, it offers rigorous peer-reviewed articles that contribute significantly to innovation and methodological advancements in the field. Although it does not currently offer Open Access options, its publication in the United States ensures a wide dissemination of high-quality research that shapes the future of engineering. The journal's convergence until 2025 promises to foster enduring discussions and collaborations that will continue to push the boundaries of technology and engineering applications.