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.

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.

Applied Network Science is a premier open access journal published by SpringerNature that has been a vital resource in the fields of computational mathematics and computer networks since its inception in 2016. With an impressive Q1 ranking in Multidisciplinary fields and Q2 rankings in both Computational Mathematics and Computer Networks and Communications, it distinguishes itself as a significant contributor to interdisciplinary research efforts. The journal fosters innovative methodologies and applications within network science, making it a crucial platform for researchers, professionals, and students alike. With an E-ISSN of 2364-8228 and a commendable standing in global rankings, it supports a broad audience through its commitment to open access, ensuring that groundbreaking research is readily available. Located in Switzerland, Applied Network Science continues to shape the landscape of network research and communication, making substantial impacts across various domains.

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.

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.

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.

Networks and Heterogeneous Media is a distinguished journal published by the American Institute of Mathematical Sciences (AIMS), focusing on the dynamic interplay of networks across various interdisciplinary fields including applied mathematics, computer science, and engineering. With a diverse and robust scope, the journal aims to facilitate the advancement of knowledge regarding complex systems and heterogeneous media through the publication of cutting-edge research. The journal has exhibited notable academic impact, currently positioned in Q2 and Q3 quartiles across several key categories such as applied mathematics, engineering, and statistics, indicating its relevance and influence within the scientific community. Researchers and professionals exploring intricate mathematical models, computational applications, and statistical methodologies will find Networks and Heterogeneous Media an invaluable resource for both foundational studies and innovative applications. The journal regularly publishes high-quality articles, contributing to emerging discussions and developments in a rapidly evolving field.

EPJ Data Science is a prominent open-access journal affiliated with SPRINGER, dedicated to disseminating high-quality research in the fields of Computational Mathematics, Computer Science Applications, and Modeling and Simulation. Established in 2012, this journal provides a scholarly platform for innovative ideas and methodologies aimed at advancing data science, bridging gaps between theoretical foundations and practical applications. With impressive rankings, including Q1 in Modeling and Simulation and Q2 in both Computational Mathematics and Computer Science Applications as of 2023, EPJ Data Science is recognized for its significant contributions to academia, evidenced by its strong performance in Scopus rankings. The journal is committed to open access, ensuring that research is accessible to a global audience, thereby enhancing collaboration and interdisciplinary communication. Located at One New York Plaza, Suite 4600, New York, NY 10004, United States, it serves as a hub for researchers, professionals, and students eager to share and explore pioneering developments in data science.

Discrete Mathematics Algorithms and Applications, published by World Scientific Publishing Co Pte Ltd, stands as a pivotal resource in the field of discrete mathematics and combinatorics since its inception in 2009, with a convergence period extending to 2024. The journal holds an esteemed position within its category, ranked in the Q3 quartile according to latest metrics, recognized for its qualitative contributions to the academic community. With an ISSN of 1793-8309 and an E-ISSN of 1793-8317, it serves as a vital conduit for disseminating innovative research focused on algorithms and their applications within discrete mathematics. Although currently not an open access journal, it provides access to valuable insights and findings that are crucial for researchers, professionals, and students seeking to advance their understanding and application of discrete mathematical concepts. Based in Singapore, the journal continues to promote rigorous scholarly discourse and is a key publication for those involved in advancing the discipline.

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.