Open Computer Science is a premier scholarly journal published by DE GRUYTER POLAND SP Z O O, dedicated to fostering innovative research and discussions in the rapidly evolving field of computer science. With an impact factor that places it in Q2 of the computer science (miscellaneous) category, as well as a commendable Scopus ranking of #80 out of 232 and a 65th percentile standing, this journal serves as a critical resource for researchers, professionals, and students alike. Since its inception in 2011 and having embraced the open access model, Open Computer Science promotes the dissemination of knowledge across a global audience, ensuring that cutting-edge research is accessible to all. By covering a broad range of topics within the realm of computer science, this journal is committed to advancing the discipline’s theoretical and practical boundaries. The journal is published in Germany and features robust editorial standards, ensuring the inclusion of high-quality, peer-reviewed articles that contribute significantly to the field.

Frontiers in Communications and Networks is a prominent open-access journal published by FRONTIERS MEDIA SA, established in 2020 and positioned in the heart of Switzerland. As an interdisciplinary platform, it focuses on advancing research related to computer networks, communications, and signal processing, providing a critical forum for innovative findings and developments in these rapidly evolving fields. With an impressive Q1 ranking in Computer Networks and Communications and a Q2 ranking in Signal Processing as of 2023, this journal is highly regarded among scholars and practitioners seeking to disseminate their work to a broad audience. By offering open-access options, it ensures that the research is widely available, fostering collaboration and knowledge sharing across the globe. Researchers, professionals, and students are encouraged to engage with the journal as it aims to encapsulate the burgeoning advancements shaping our digital communication landscape.

Markov Processes and Related Fields, published by POLYMAT, is a pivotal journal in the field of applied mathematics and statistics, aimed at researchers, practitioners, and students who seek to deepen their understanding of complex stochastic processes and their applications. With an ISSN of 1024-2953 and a convergence of scholarly work from 2012 to 2023, this journal not only contributes to the discourse around Markov processes but also positions itself within the competitive landscape of academic publishing, as evidenced by its Q4 ranking in both Applied Mathematics and Statistics and Probability for 2023. While the journal is not open access, it provides critical insights and developments that are essential for driving forward research in these fields. The journal's contributions enhance knowledge transfer among academia and industry, fostering innovation and application in various sectors. As researchers and students engage with its content, they will find a wealth of information that challenges conventional thinking and encourages novel approaches to statistical modeling and analysis.

Neural Network World, published by the Academy of Sciences of the Czech Republic, Institute of Computer Science, is a preeminent journal dedicated to the fields of artificial intelligence, hardware and architecture, software engineering, and neuroscience. Since its inception in 1994, this journal has provided a platform for the dissemination of pioneering research and technical advancements in neural networks and their applications. Operating from the heart of Prague, this publication holds a Q4 quartile ranking across key categories, highlighting the growing interest and relevance in its multidisciplinary focus. Although it does not currently offer open access, its commitment to scholarly rigor ensures that readers engage with high-quality content, making it a valuable resource for researchers, professionals, and students alike. As the field evolves, Neural Network World serves as an essential forum for innovative ideas and critical discussions, reinforcing its significance in driving forward the future of technology and neuroscience.

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.

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 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.

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.

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.

NETWORKS & SPATIAL ECONOMICS, published by SPRINGER, stands at the forefront of research within the disciplines of artificial intelligence, computer networks, and software engineering. With an ISSN of 1566-113X and E-ISSN 1572-9427, this esteemed journal boasts an impressive impact factor and is recognized in the Q2 and Q3 quartiles in its respective categories for 2023. As a vital resource for researchers and professionals, it offers a dynamic platform for disseminating innovative findings that explore the intersections of spatial economics and network theory. The journal has evolved significantly since its inception in 2005, with its convergence period extending to 2024, showcasing its commitment to advancing scholarly discourse and providing access to critical advancements in the field. Aimed at academics, practitioners, and students alike, NETWORKS & SPATIAL ECONOMICS is essential for anyone seeking to deepen their understanding of how spatial frameworks and network dynamics influence economic systems.