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.

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.

ACTA INFORMATICA is a prestigious academic journal published by Springer, dedicated to advancing the fields of computer networks and communications, information systems, and software engineering. With an ISSN of 0001-5903 and an E-ISSN of 1432-0525, the journal has continued to thrive since its inception in 1971 and is set to cover research up until 2024. Although it currently operates within a Q3 category in its respective fields, it is recognized for providing a platform for high-quality, peer-reviewed research, which is essential for fostering innovation and knowledge dissemination in computer science. While it does not offer an open access option, scholars benefit from its rigorous editorial standards and comprehensive coverage of significant trends and methodologies. The journal is conveniently based in New York, NY, USA, further enhancing its accessibility to a global audience. Researchers, professionals, and students alike will find ACTA INFORMATICA a valuable resource for staying abreast of the latest developments and breakthroughs in this vital area of study.

Internet Technology Letters, published by John Wiley & Sons Ltd, is a dynamic and rapidly evolving journal that focuses on the innovative applications and developments within the realms of Artificial Intelligence, Computer Networks and Communications, Information Systems, and Software. With its E-ISSN 2476-1508 and a defined convergence period from 2018 to 2024, this journal seeks to address emerging trends and critical challenges confronting the digital landscape today. Recognized in the Q3 quartile range across multiple computer science categories in 2023, it serves as a valuable resource for researchers, professionals, and students seeking to advance their knowledge and stay updated on significant technological advancements. While currently not an open-access journal, Internet Technology Letters holds a prominent position on platforms like Scopus, ranked within the middle percentiles, reflecting its contribution to the academic community. The journal aims to foster connectivity between academia and industry, encouraging submissions that promote interdisciplinary collaboration and innovation. By creating a platform for sharing groundbreaking research, Internet Technology Letters plays a crucial role in shaping future technological landscapes.

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.

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.

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.

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.

Social Network Analysis and Mining, published by SPRINGER WIEN, is a premier journal dedicated to the advanced study and application of social network analysis and data mining methodologies within the fields of communication, computer science, and media technology. With rigorous peer-review standards and a 2023 category ranking within the Q1 quartile for Communication and various Q2 rankings across Computer Science and Human-Computer Interaction, this journal not only highlights cutting-edge research but also influences current trends and methodologies in the discipline. The journal's articles are accessible through subscription, ensuring a broad reach among academic institutions and professionals. Covering converged years from 2011 to 2024, Social Network Analysis and Mining serves as an essential resource for researchers, practitioners, and students seeking to deepen their understanding of social networks’ roles in information systems and digital communication, reflecting significant insights from its Scopus rankings that position it at a high percentile among related fields.