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.

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.

Ad Hoc & Sensor Wireless Networks, an esteemed journal published by OLD CITY PUBLISHING INC, provides a dedicated platform for the dissemination of pioneering research in the realms of computer science, electrical and electronic engineering, and instrumentation. With an ISSN of 1551-9899 and an E-ISSN of 1552-0633, this journal has established itself as a crucial resource for scholars and practitioners alike, actively contributing to the advancements in ad hoc networks and wireless sensor technologies. It holds a commendable position within the third quartile in its respective fields, with Scopus rankings reflecting its relevance in the academic community. As a publicly accessible source of valuable insights, the journal aims to inspire innovation and facilitate progress across various disciplines. Situated in Philadelphia, PA, and converging its efforts from 2005 to 2024, Ad Hoc & Sensor Wireless Networks continues to be a beacon of research excellence, impacting both theoretical and practical domains in technology.

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 Complex Networks, published by Oxford University Press, stands as a prominent platform in the fields of Applied Mathematics, Computational Mathematics, and Computer Networks and Communications. Since its inception in 2013, this esteemed journal has garnered a strong reputation, achieving a Q2 category ranking across multiple disciplines in 2023, indicating its influence and quality in the relevant academic circles. With an ISSN of 2051-1310 and E-ISSN 2051-1329, it aims to facilitate the understanding of intricate network systems and their applications, positioning itself at the forefront of cutting-edge research. While the journal currently does not offer Open Access options, it remains a vital resource for researchers, professionals, and students seeking insights into the dynamic interplay between networks and computational methodologies. Its commitment to promoting rigorous research is reflected in its impressive Scopus rankings, which highlight its intersectional impact on various mathematical and computational disciplines. Contributing to this journal provides authors with an opportunity to engage with a broad audience dedicated to advancing knowledge in complex networks, optimization, and management science.

ACM Transactions on Knowledge Discovery from Data (TKDD), published by the Association for Computing Machinery, is a prestigious journal at the forefront of the interdisciplinary realm of data mining and knowledge discovery. With an impressive Q1 ranking in Computer Science and a Scopus rank of #43 out of 232, this journal stands out as a top-tier resource for innovative research that addresses complex challenges in data science. Covering impactful studies from 2007 to 2024, TKDD presents cutting-edge algorithms, methodologies, and applications that shape the future of knowledge extraction from vast datasets. While not an open-access journal, it provides a platform for researchers, professionals, and students to disseminate their findings and engage with the latest advancements in this rapidly evolving field. By fostering collaboration and knowledge sharing, TKDD plays a vital role in advancing the understanding and application of data analysis techniques, making it an essential read for anyone involved in the pursuit of knowledge from data.

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.

Big Data, an esteemed journal published by MARY ANN LIEBERT, INC, serves as a leading platform within the realms of computer science and information systems. Launched in 2013, this journal has made significant strides in shaping the discourse around the management, analysis, and applications of large-scale data. With a commendable impact factor reflected in its 2023 quartile rankings—Q1 in Information Systems and Management, and Q2 in both Computer Science Applications and Information Systems—Big Data is recognized for its quality and influence, holding a notable position in Scopus rankings. Renowned for its rigorous peer-review process, the journal welcomes original research, reviews, and discussions that address the challenges and innovations associated with big data technologies. Researchers, professionals, and students alike will find Big Data an indispensable resource that not only highlights emerging trends but also fosters collaboration and knowledge sharing within the data science community. Access options are available through institutional subscriptions and individual access, ensuring a broad dissemination of critical research findings.

SOCIAL NETWORKS, published by Elsevier, is a premier academic journal that has been at the forefront of social sciences since its inception in 1978. This esteemed journal, with an ISSN of 0378-8733 and an E-ISSN of 1879-2111, is renowned for its rigorous exploration of social structures, connections, and interactions through a multi-disciplinary lens encompassing anthropology, psychology, sociology, and political science. With an impressive Q1 ranking in several categories, including Anthropology and Psychology (miscellaneous), SOCIAL NETWORKS ranks among the top journals in its field, boasting a Scopus percentile ranking that highlights its significant contribution to social science research. This journal serves as a vital resource for researchers, professionals, and students looking to engage with contemporary issues and theoretical advancements surrounding social networks. Although primarily subscription-based, the journal offers insightful and impactful research that continuously shapes the discourse within the social sciences. As it converges toward its anticipated publication year of 2025, SOCIAL NETWORKS remains dedicated to fostering academic dialogue and enhancing our understanding of societal interactions in a rapidly evolving world.

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.