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.

Computation, published by MDPI, is an esteemed open-access journal that has been contributing to the fields of applied mathematics and computer science since its inception in 2013. With an E-ISSN of 2079-3197, this Swiss-based journal operates under a philosophy of free knowledge dissemination, allowing researchers, professionals, and students globally to access high-quality content without financial barriers. Recognized for its rigorous peer-review process, Computation is currently categorized in the Q2 and Q3 quartiles across significant domains, including Applied Mathematics (#181/635), Theoretical Computer Science (#52/130), and Modeling and Simulation (#138/324). As it converges towards 2024, the journal continues to attract innovative and impactful research aimed at advancing theoretical frameworks and practical applications within these disciplines. Joining the Computation community not only enriches individual research portfolios but also contributes to the broader conversation on computational methodologies and their applications in solving real-world problems.

Modelling is a distinguished open access journal published by MDPI since 2020, dedicated to advancing the field of computational modeling across various scientific disciplines including Computer Science, Engineering, and Mathematics. With its base in Switzerland, the journal aims to foster a collaborative environment for researchers and practitioners while providing a platform for high-quality research on modeling and simulation techniques. As of 2023, it has garnered respectable rankings, achieving Q3 in Computer Science and Mathematics, and Q2 in Engineering, with notable Scopus values indicating an increasing impact within the academic community. Modelling not only publishes innovative research findings but also encourages the dissemination and discussion of emerging methodologies, making it a vital resource for scholars seeking to contribute to and expand the frontiers of knowledge in their respective fields. As an open access journal, it promotes unrestricted access to research outputs, ensuring greater visibility and impact for researchers and students alike.

Network Science is a distinguished journal published by Cambridge University Press, dedicated to advancing our understanding of complex networks across various domains, including communication, sociology, and psychology. Since its inception in 2013, the journal has consistently aimed to provide a platform for groundbreaking research that explores the structure and dynamics of networks, thereby facilitating interdisciplinary collaboration and innovation. With an impressive ranking in the Q2 category for Communication and Sociology, and Q3 for Social Psychology, Network Science has carved out a significant niche within the academic community, reflected in its reputable metrics—ranking #112 out of 511 in Communication and #333 out of 1466 in Sociology and Political Science according to Scopus. The journal plays a pivotal role in shaping the landscape of network theory and analysis, making it an essential resource for researchers, practitioners, and students eager to delve into the intricate relationships that underpin social systems. Access to this journal fosters an environment of scholarly exchange and stimulates further research in the rapidly evolving field of network studies.

Advances in Data Science and Adaptive Analysis is a prestigious journal dedicated to the advancement of knowledge within the rapidly evolving fields of data science and adaptive analysis. Published by WORLD SCIENTIFIC PUBL CO PTE LTD, this journal aims to serve as a platform for researchers, professionals, and students to disseminate innovative findings and methodologies. With a focus on interdisciplinary approaches, it invites contributions that explore the application of adaptive techniques in tackling complex data-driven challenges. Situated in Singapore, the journal stands out for its commitment to high-quality research, making significant impacts in the academic community and beyond. Although the journal currently does not offer open access, it remains a crucial resource for those striving to push the boundaries of data science research and its practical applications.

Statistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.

Proceedings of the Romanian Academy Series A-Mathematics Physics Technical Sciences Information Science, published by EDITURA ACAD ROMANE, is a noteworthy academic journal that serves as a platform for disseminating original research in the intersecting fields of mathematics, physics, engineering, and computer science. With an ISSN of 1454-9069, this journal not only highlights the vibrant academic contributions from Romania but also attracts international submissions, thus fostering global collaboration. Though it currently does not offer an open-access model, the journal remains indexed in significant databases, reflecting its commitment to quality and scholarly rigor. The journal’s impact can be seen through its rankings, including Q4 in Computer Science, Q3 in Engineering, and Q4 across Mathematics and Physics, as well as its Scopus percentile rankings, which indicate meaningful contributions to these domains. With a converged publication span from 2008 to 2024, it aims to catalyze advancements in technical sciences while enriching the academic discourse among researchers, professionals, and students alike. The journal’s headquarters in Bucharest, Romania, positions it as a key player in the Eastern European academic landscape, making it essential reading for those engaged in cutting-edge research.

JOURNAL OF MATHEMATICAL SOCIOLOGY, published by Taylor & Francis Inc, is a vital forum for interdisciplinary research at the intersection of mathematics and sociology, offering a unique perspective on social phenomena through mathematical analysis. Established in 1971, this esteemed journal is continuously evolving, with convergence through 2024, reflecting its commitment to advancing the field. With an ISSN of 0022-250X and an E-ISSN of 1545-5874, it is recognized for its impact in the realm of algebra and number theory, as indicated by its placement in Q3 for 2023. Additionally, it holds Q2 rankings in both Social Sciences (miscellaneous) and Sociology and Political Science, demonstrating its scholarly relevance. With a competitive ranking in Scopus, including a 92nd percentile in Mathematics, this journal caters to researchers, professionals, and students seeking rigorous mathematical tools to illuminate sociological concepts. While currently not open access, it remains a crucial resource for anyone looking to explore the quantitative methodologies that underpin modern sociology.

Journal of Information and Communication Technology-Malaysia is a respected open-access journal published by UNIV UTARA MALAYSIA PRESS, dedicated to advancing knowledge in the fields of Information Technology, Computer Science, and Mathematics. With an ISSN of 1675-414X and an E-ISSN of 2180-3862, this journal has been providing a platform for innovative research since its establishment in 2009. The journal is indexed in Scopus with commendable rankings in Mathematics and Computer Science categories, highlighting its contribution to the academic community, particularly with its Q3 quartile status in both fields as of 2023. As it converges research from 2011 to 2024, the journal invites submissions that explore contemporary challenges and technological advancements, catering to a global audience of researchers, professionals, and students interested in the rapidly evolving domains of ICT. By ensuring open access to its articles, the journal promotes widespread dissemination and accessibility of cutting-edge research, thereby supporting the collaborative development of ideas and solutions in these critical areas.

SIAM Journal on Mathematics of Data Science is an esteemed publication within the fields of applied mathematics and data science, published by SIAM PUBLICATIONS. This journal serves as a vital platform for researchers and practitioners, dedicated to disseminating high-quality research that addresses complex mathematical problems arising in the context of data science. The journal aims to bridge the gap between rigorous mathematical theory and practical applications, fostering interdisciplinary collaboration among mathematicians, data scientists, and statisticians. With its commitment to excellence, the SIAM Journal on Mathematics of Data Science contributes significantly to advancing the understanding and development of mathematical methodologies that analyze and interpret large datasets effectively. Researchers and professionals will find it an invaluable resource with its comprehensive articles, insightful reviews, and original research papers, which represent the forefront of innovative mathematical approaches in the evolving landscape of data science. For those interested in contributing to this dynamic field, the journal provides an array of access options tailored to diverse audiences.