The Journal of Physics-Complexity, published by IOP Publishing Ltd, is a premier open access journal that has been making significant strides in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems since its establishment in 2020. Operating from the United Kingdom, this journal aims to foster interdisciplinary research that bridges theoretical and applied aspects of complexity science. With an admirable Q2 ranking in four prestigious categories and a Scopus ranking indicating it holds a solid position within its fields, this journal caters to a diverse audience of researchers, professionals, and students eager to explore the intricacies of complex systems. Its open access model ensures that groundbreaking research is readily available to the global community, thereby enhancing the dissemination of knowledge and information. As it converges towards 2024, the Journal of Physics-Complexity is poised to expand its influence, inviting innovative contributions that challenge conventional thinking and push the boundaries of scientific discovery.

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.

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 SIAM-ASA Journal on Uncertainty Quantification, published by SIAM PUBLICATIONS, is a premier journal dedicated to advancing the field of uncertainty quantification across various disciplines, including applied mathematics, statistics, and simulation modeling. With an impressive impact factor that places it in the Q1 quartile in multiple categories such as Applied Mathematics and Statistics and Probability, this journal represents the pinnacle of research quality and relevance. Established in 2013, it has garnered a significant readership and citation rate, reaffirming its critical role in addressing complex uncertainty challenges in modern science and engineering. Although not an open access journal, it provides a platform for rigorous peer-reviewed articles that offer insightful methodologies and applications vital to both research and industry practices. Researchers, professionals, and students will find in its pages a wealth of knowledge that drives the future of quantitative analysis, modeling, and problem-solving in uncertain environments.

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.

Quantitative Biology is a prestigious journal published by WILEY, focusing on the interdisciplinary study of quantitative approaches in the biological sciences. With an ISSN of 2095-4689 and an E-ISSN of 2095-4697, this journal has established itself as a critical platform for researchers exploring complex biological systems through mathematical and computational methodologies. Operating out of China, Quantitative Biology significantly contributes to its field, holding a Q2 ranking in various categories, including Applied Mathematics and Biochemistry, Genetics and Molecular Biology, according to the latest Scopus rankings. These rankings reflect the journal's commitment to publishing high-quality research that employs advanced modeling and simulation techniques. The journal's impact is evident with its position in the 84th percentile for Applied Mathematics, indicating its relevance and growth in a competitive academic landscape. Although it does not currently operate under an Open Access model, the journal is pivotal for professionals and students alike, aiming to bridge the gap between mathematical theories and biological applications. Researchers are encouraged to submit their innovative findings and engage with the vibrant community dedicated to advancing the quantitative understanding of biological phenomena.

Journal of Applied Mathematics & Informatics is a peer-reviewed academic journal published by the Korean Society of Computational & Applied Mathematics (KSCAM), focusing on the integration and application of mathematical theories and computational techniques across various domains. Established in 2019, this journal serves as a platform for researchers, professionals, and students to share innovative methodologies, practical applications, and theoretical advancements in fields like analysis, applied mathematics, and computational theory. As a Q4 ranked journal according to the 2023 category quartiles in analysis, applied mathematics, computational mathematics, and miscellaneous mathematics, it provides a valuable, albeit niche, contribution to the academic landscape. While the journal currently operates without open access options, it aims to disseminate quality research to foster collaboration and knowledge exchange within the mathematics and computer science communities. Researchers looking to explore emerging trends and methodologies in applied mathematics and informatics will find an essential resource in this journal, which is based in Daejeon, South Korea.

Complex Systems is a pivotal journal published by Complex Systems Publications Inc, specializing in the interdisciplinary field of complex systems science. With an ISSN of 0891-2513, it focuses on advancing the understanding of complex phenomena across various domains, including computer science and control engineering. Operating from the United States, this journal has established itself as a credible source with a current impact factor reflecting its relevance—ranking in the Q3 category for both Computer Science (miscellaneous) and Control and Systems Engineering as of 2023. Although it does not offer Open Access, Complex Systems aims to facilitate the exchange of cutting-edge research and innovative methodologies, making it indispensable for researchers, professionals, and students eager to explore and contribute to the field. With coverage spanning from 2012 to 2024, it strives to foster a deeper understanding of the principles governing complex systems, thus paving the way for future technological advancements and theoretical developments.

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.

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.