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.

Social Media + Society is a premier, open access journal published by SAGE Publications Ltd, dedicated to the interdisciplinary exploration of social media's impact on society. Since its inception in 2015, this journal has rapidly established itself as a leading platform for scholarly discourse, evidenced by its impressive Q1 rankings across multiple categories, including Communication, Computer Science Applications, and Cultural Studies, as of 2023. With a Scopus ranking placing it in the top percentiles of its field, Social Media + Society provides profound insights into the evolving dynamics of social media technologies, their applications, and societal repercussions. The journal aims to foster a critical dialogue among researchers, professionals, and students, ensuring accessibility through its open access model, which allows readers to engage with cutting-edge research without barriers. Published in the United Kingdom, it serves as a vital resource for anyone interested in understanding the complex intersections of digital communication, culture, and technology.

Jordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.

The Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.

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.

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.

KNOWLEDGE AND INFORMATION SYSTEMS, published by SPRINGER LONDON LTD, is a distinguished journal in the field of information systems, artificial intelligence, and human-computer interaction. With its ISSN 0219-1377 and E-ISSN 0219-3116, this journal has built a robust reputation since its inception, featuring a convergence of valuable research from 2005 through 2024. Catering to a diverse academic audience, it is classified among the leading journals in its category, proudly holding a Q1 ranking in Information Systems and Q2 rankings in multiple other domains. The journal aims to publish cutting-edge research that not only advances theoretical understanding but also provides practical applications within these rapidly evolving fields. Although it is not an Open Access journal, subscribers can access a wealth of knowledge critical for researchers, practitioners, and students looking to enhance their expertise. With a 2023 Scopus rank placing it within the 66th percentile for Information Systems, KNOWLEDGE AND INFORMATION SYSTEMS is an invaluable resource for those committed to pushing the frontiers of knowledge in technology and information science.

DATA MINING AND KNOWLEDGE DISCOVERY, published by Springer, stands as a premier journal within the realms of Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive impact factor and a notable presence in various rankings—achieving the Q1 category in 2023—we invite researchers, professionals, and students alike to explore cutting-edge methodologies and innovative applications in data mining. Established in 1997 and continuing its journey through to 2024, the journal not only contributes significantly to the advancement of knowledge in computational techniques but also fosters an understanding of the complex interrelations in data systems. Though not an open access publication, it offers a wealth of insights crucial for driving advancements in technology and analytics. Based in Dordrecht, Netherlands, the journal remains dedicated to disseminating high-quality research and is essential reading for anyone engaged in the ever-evolving field of data science.

SOCIAL SCIENCE COMPUTER REVIEW, published by SAGE Publications Inc, is a premier peer-reviewed journal that has been contributing to the intersection of technology and social science since its inception in 1983. With an impressive H-index and categorized in Q1 across multiple disciplines including Computer Science Applications, Law, Library and Information Sciences, and Social Sciences (miscellaneous), this journal stands out as a critical resource for researchers, professionals, and students seeking to explore the implications of computational methods in societal contexts. The journal is widely recognized for its rigorous scholarship, evidenced by its high Scopus ranks in various categories, notably ranking #17 in Social Sciences - Law (98th percentile) and #9 in General Social Sciences (96th percentile), making it an essential publication for those looking to stay at the forefront of social science research. Though it does not provide open access, the journal's commitment to disseminating cutting-edge research ensures its vital role in advancing knowledge and fostering interdisciplinary collaboration. For those engaged in studying and applying computational techniques within the social sciences, SOCIAL SCIENCE COMPUTER REVIEW is a valuable and indispensable source.

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.