Network Neuroscience is a premier open-access journal published by MIT Press, focusing on the interdisciplinary nexus of neuroscience, applied mathematics, artificial intelligence, and computer science. Since its inception in 2017, the journal has established itself as a leading outlet for innovative research and cutting-edge methodologies, ensuring disseminated knowledge is freely accessible to all. With an impressive Q1 ranking in multiple categories including Applied Mathematics, Artificial Intelligence, Computer Science Applications, and Neuroscience, it serves as a vital platform for scholars, professionals, and students to explore the intricate networks that underpin cognitive processes and brain function. The journal is committed to advancing the understanding of complex neural mechanisms through interdisciplinary approaches and remains a crucial resource for anyone engaged in the burgeoning fields of network science and neuroscience research.

The International Journal of Applied Mathematics and Computer Science is a premier open-access journal published by SCIENDO, dedicated to advancing knowledge in the interdisciplinary fields of applied mathematics, computer science, and engineering. Since its inception in 2001, the journal has continually provided a platform for researchers to publish high-quality, peer-reviewed articles, contributing significantly to its fields, as evidenced by its strong Q2 quartile rankings in 2023 across key disciplines. With a notable impact factor and ranking within the Scopus database—#135 in Applied Mathematics and #45 in Computer Science—the journal emphasizes innovative research and practical applications. Open access since 2014, it has aimed to foster collaboration and ensure that vital scientific knowledge is accessible to a broader audience, positioning itself as an essential resource for researchers, professionals, and students seeking to stay on the cutting edge of technological and mathematical advancements.

ACTA INFORMATICA is a prestigious academic journal published by Springer, dedicated to advancing the fields of computer networks and communications, information systems, and software engineering. With an ISSN of 0001-5903 and an E-ISSN of 1432-0525, the journal has continued to thrive since its inception in 1971 and is set to cover research up until 2024. Although it currently operates within a Q3 category in its respective fields, it is recognized for providing a platform for high-quality, peer-reviewed research, which is essential for fostering innovation and knowledge dissemination in computer science. While it does not offer an open access option, scholars benefit from its rigorous editorial standards and comprehensive coverage of significant trends and methodologies. The journal is conveniently based in New York, NY, USA, further enhancing its accessibility to a global audience. Researchers, professionals, and students alike will find ACTA INFORMATICA a valuable resource for staying abreast of the latest developments and breakthroughs in this vital area of study.

JOURNAL OF APPLIED PROBABILITY is a prestigious peer-reviewed journal published by Cambridge University Press, focusing on the intricate interactions between probability theory and its applications in diverse scientific fields. With a rich history dating back to 1975, this journal caters to an audience of researchers, professionals, and students interested in advancing their knowledge in areas such as mathematics, statistics, and decision sciences. The journal thrives in the competitive landscape of academia, boasting a respectable impact factor and earning Q2 rankings in both Mathematics and Statistics categories as of 2023. It provides a platform for innovative research and methodologies that bridge theoretical concepts with real-world applications, thereby enriching the discipline of applied probability. Although it is not an open-access journal, the JOURNAL OF APPLIED PROBABILITY ensures comprehensive access options through institutional subscriptions, making it a vital resource for anyone engaged in sophisticated probabilistic analysis and its practical implementations.

Social Network Analysis and Mining, published by SPRINGER WIEN, is a premier journal dedicated to the advanced study and application of social network analysis and data mining methodologies within the fields of communication, computer science, and media technology. With rigorous peer-review standards and a 2023 category ranking within the Q1 quartile for Communication and various Q2 rankings across Computer Science and Human-Computer Interaction, this journal not only highlights cutting-edge research but also influences current trends and methodologies in the discipline. The journal's articles are accessible through subscription, ensuring a broad reach among academic institutions and professionals. Covering converged years from 2011 to 2024, Social Network Analysis and Mining serves as an essential resource for researchers, practitioners, and students seeking to deepen their understanding of social networks’ roles in information systems and digital communication, reflecting significant insights from its Scopus rankings that position it at a high percentile among related fields.

Advances in Mathematics of Communications, published by the American Institute of Mathematical Sciences (AIMS), is a leading journal dedicated to the dissemination of high-quality research in the fields of algebra, number theory, applied mathematics, discrete mathematics, combinatorics, and computer networks. Established in 2008, this journal has quickly established itself as a significant contributor to mathematical communications, holding a reputable position in the Scopus rankings, with impressive category quartiles, including Q2 rankings in key areas such as Algebra and Number Theory and Applied Mathematics. Besides its rigorous peer-review process, the journal facilitates the growth of innovative ideas and methodologies that bridge the gap between theory and application. With no open access restrictions, Advances in Mathematics of Communications aims to provide an inclusive platform for researchers, professionals, and students to share their findings and insights, fostering collaboration and advancing the global knowledge base in the mathematical sciences. The journal's commitment to excellence ensures its role as an essential resource in the ever-evolving landscape of mathematics.

Network Modeling and Analysis in Health Informatics and Bioinformatics, published by SPRINGER WIEN, stands as a vital resource in the interdisciplinary domains of health informatics and bioinformatics. With an ISSN of 2192-6662 and E-ISSN of 2192-6670, this journal aims to facilitate the dissemination of innovative research that intersects network modeling, data analysis, and health applications. The journal competes at a Q3 quartile level across multiple categories including Biomedical Engineering and Health Informatics, showcasing its growing influence within the academic community. As of 2023, it holds impressive Scopus rankings, including a 20th position in Urology, illustrating its significance in the field. Although not an open access publication, the journal is dedicated to providing cutting-edge insights from 2012 to 2024 and is poised to attract researchers, professionals, and students striving to push the boundaries of knowledge in health informatics and bioinformatics. This journal is not just a platform for sharing scholarly articles; it is a catalyst for advancing methodologies that enhance patient care and medical research.

EPJ Data Science is a prominent open-access journal affiliated with SPRINGER, dedicated to disseminating high-quality research in the fields of Computational Mathematics, Computer Science Applications, and Modeling and Simulation. Established in 2012, this journal provides a scholarly platform for innovative ideas and methodologies aimed at advancing data science, bridging gaps between theoretical foundations and practical applications. With impressive rankings, including Q1 in Modeling and Simulation and Q2 in both Computational Mathematics and Computer Science Applications as of 2023, EPJ Data Science is recognized for its significant contributions to academia, evidenced by its strong performance in Scopus rankings. The journal is committed to open access, ensuring that research is accessible to a global audience, thereby enhancing collaboration and interdisciplinary communication. Located at One New York Plaza, Suite 4600, New York, NY 10004, United States, it serves as a hub for researchers, professionals, and students eager to share and explore pioneering developments in data science.

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.

NETWORKS, an esteemed journal published by Wiley, serves as a premier platform for the dissemination of high-quality research in the fields of computer networks, communications, hardware architecture, and information systems. With an ISSN of 0028-3045 and an E-ISSN of 1097-0037, the journal has been at the forefront of networking studies since its inception in 1971 and continues to thrive, boasting a convergence period that extends into 2024. Recognized for its rigorous peer-review process, NETWORKS is placed in the Q1 and Q2 quartiles of various categories, underscoring its significant impact and relevance in the realm of computer science. Although there is no open access option currently available, the journal remains a vital resource for researchers, professionals, and students who seek to navigate the evolving landscapes of technology and innovation. With its robust Scopus rankings and a growing readership, NETWORKS is dedicated to fostering advancements in network theory and practice, making it an essential read for those at the cutting edge of this dynamic field.