ACM Transactions on Economics and Computation, published by the Association for Computing Machinery, is a premier scholarly journal that bridges the fields of economics and computation. With an ISSN of 2167-8375 and an E-ISSN of 2167-8383, this journal has carved out a significant niche since its inception in 2013, and is set to run through 2024. Its multidisciplinary scope encompasses various quarters, being ranked Q1 in Computer Science (miscellaneous) and Q2 in Computational Mathematics, Economics and Econometrics, Marketing, and Statistics and Probability as of 2023. The journal not only ranks impressively in Scopus—positioned within the top 25% for several categories—but also fosters a collaborative environment where researchers, professionals, and students can engage with cutting-edge research that showcases innovative methodologies and theoretical advancements. Although it is not open access, the journal remains vital for advancing knowledge at the intersection of computation and economics, making it an essential resource for those looking to understand the complexities of these dynamic fields.

Discussiones Mathematicae Graph Theory is a prestigious peer-reviewed journal published by UNIV ZIELONA GORA, specializing in the dynamic fields of Graph Theory, Discrete Mathematics, and Applied Mathematics. With an ISSN of 1234-3099 and an E-ISSN of 2083-5892, this Open Access journal has been providing unrestricted access to its content since 2013, promoting widespread dissemination and engagement in academic research. Established in 2009 and continuing its influential publication through 2024, Discussiones Mathematicae Graph Theory is committed to fostering collaborations and innovations among researchers, professionals, and students alike. Its impressive category quartiles for 2023 show it ranks within the Q3 range for both Applied Mathematics and Discrete Mathematics and Combinatorics, as well as good positions within the Scopus rankings, ensuring its critical relevance in the mathematical community. By continuously highlighting groundbreaking research in graph theory, this journal stands as a vital resource for anyone looking to advance their knowledge and contribute to the evolving landscape of mathematics.

Interdisciplinary Sciences-Computational Life Sciences, published by SPRINGER HEIDELBERG, is a premier journal dedicated to advancing the field of life sciences through the lens of computational methods. With an ISSN of 1913-2751 and an E-ISSN of 1867-1462, this journal serves as a significant platform for researchers and professionals alike, fostering innovation and collaboration across various disciplines. As a testament to its impact, the journal holds a Q2 category status in Biochemistry, Genetics and Molecular Biology, Computer Science Applications, and Health Informatics, reflecting its influential contributions and rigorous peer-review process. The Scopus rankings demonstrate its esteemed placement within its fields, with notable percentiles that highlight its relevance and reach. While the journal operates under a traditional access model, its commitment to publishing high-quality research continues to stimulate important discussions and developments within the scientific community. Founded in 2009 and converging through 2024, Interdisciplinary Sciences-Computational Life Sciences remains an essential resource for the latest discoveries at the intersection of computation and life sciences, appealing to both seasoned researchers and enthusiastic students eager to contribute to this dynamic field.

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.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, published by Elsevier, is a prestigious journal that has been at the forefront of statistical mechanics, condensed matter physics, and applications thereof since its inception in 1975. With an ISSN of 0378-4371 and an E-ISSN of 1873-2119, this journal serves as a critical platform for researchers, professionals, and students who seek to explore the intricate interplay between statistical theories and real-world applications. PHYSICA A boasts an impressive impact factor and has consistently maintained a strong academic standing, ranking in the Q2 quartile in several categories, including Condensed Matter Physics and Statistical and Nonlinear Physics, based on the latest 2023 Scopus rankings. Researchers can access high-quality, peer-reviewed articles that contribute to the advancement of knowledge in the field while addressing complex challenges in statistics and probability. For those engaged in the evolving landscape of physics, this journal offers indispensable insights and a robust collection of influential research, affirming its importance as a cornerstone of reference material in statistical mechanics.

Ad Hoc Networks, published by Elsevier, is a leading journal in the fields of Computer Networks and Communications, Hardware and Architecture, and Software, with an impressive Q1 ranking in all three categories as of 2023. With an ISSN of 1570-8705 and an E-ISSN of 1570-8713, this journal offers a robust platform for disseminating cutting-edge research and advancements in network technologies, emphasizing the importance of efficient communication protocols and architectures in contemporary computing environments. Operating from the Netherlands, it has emerged as a pivotal resource for researchers and professionals seeking to explore novel methodologies, frameworks, and applications within the domain of ad hoc and wireless networks. The journal's high impact factor and Scopus rankings—44th in Computer Networks and Communications, 20th in Hardware and Architecture, and 53rd in Software—underscore its relevance and authority in the academic community. Ad Hoc Networks is committed to fostering a deeper understanding of the complexities and innovations in network design, making it an essential read for anyone invested in the future of communication technology.

JOURNAL OF INTERCONNECTION NETWORKS, published by World Scientific Publishing Co Pte Ltd, serves as a vital platform for researchers and professionals in the field of computer networks and communications. Established to foster an understanding of interconnection networks, this journal showcases innovative research findings, methodologies, and advancements in the domain. With an ISSN of 0219-2659 and an E-ISSN of 1793-6713, it has navigated through critical periods of publication, capturing the evolution of the field from 2008 to 2013 and from 2015 to 2023, albeit with discontinued coverage in Scopus. Although currently listed in the Q4 category for Computer Networks and Communications, the journal provides unique insights that contribute significantly to the growing body of knowledge in this niche area, appealing to academics, industry practitioners, and students alike. Please note that the journal operates under traditional subscription-based access options. Engaging with the JOURNAL OF INTERCONNECTION NETWORKS will undoubtedly enhance your understanding and stimulate further exploration within the increasingly important landscape of computer networking.

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.

International Journal of Wireless Information Networks, published by Springer, is a premier outlet for scholarly research in the fields of wireless information and communication technologies. With an ISSN of 1068-9605 and an E-ISSN of 1572-8129, this journal has established itself as a significant contributor to the literature since its inception in 1994. As evaluated in 2023, it holds a commendable Q2 ranking in several categories, including Computer Networks and Communications, Electrical and Electronic Engineering, and Hardware and Architecture, reflecting its robust impact and relevance within the academic community. Furthermore, it is ranked within the top quartiles in Scopus, placing it in the 76th, 74th, and 73rd percentiles in relevant fields. While the journal does not currently offer open access options, it remains an essential resource for researchers, professionals, and students dedicated to advancing knowledge and innovation within wireless information networks. The authoritative content published within these pages positions the journal at the forefront of ongoing technological developments, making significant contributions to the field until at least 2024.

Big Data Mining and Analytics, published by TSINGHUA UNIVERSITY PRESS, stands at the forefront of interdisciplinary research in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive Q1 ranking in multiple categories as of 2023, this journal serves as a critical platform for researchers and professionals eager to explore innovative techniques and methodologies related to big data analytics. Since its transition to Open Access in 2018, Big Data Mining and Analytics has aimed to increase the visibility and accessibility of its cutting-edge research, making permanent strides in the global academic landscape. Housed in Beijing, China, and actively embracing the converged years from 2018 to 2024, the journal aims to cultivate a rich discourse on emerging trends and applications, ensuring its relevance in a rapidly evolving technological environment. Join a vibrant community of scholars dedicated to advancing the frontiers of knowledge in big data.