Machine Learning and Knowledge Extraction, published by MDPI, is an esteemed Open Access journal that has been at the forefront of disseminating cutting-edge research since its inception in 2019. Based in Switzerland, this journal has established itself as a significant contributor to the fields of Artificial Intelligence and Engineering, currently ranking in the Q2 category in Artificial Intelligence and Q1 in Engineering (miscellaneous) for 2023. With a notable Scopus ranking, it holds the 35th position out of 204 in Engineering, placing it in the 83rd percentile, while it ranks 127th out of 350 in Computer Science, reaching the 63rd percentile. Machine Learning and Knowledge Extraction serves as a vital platform for researchers, professionals, and students alike, promoting insightful discussions, innovative methodologies, and profound discoveries in machine learning and data extraction techniques. The journal's open access model ensures that groundbreaking research is widely accessible, fostering collaboration and advancing knowledge across various disciplines.

SOFT COMPUTING is a premier international journal published by Springer, focusing on the interdisciplinary field of soft computing, which includes areas such as fuzzy logic, neural networks, genetic algorithms, and their applications. With an ISSN of 1432-7643 and E-ISSN 1433-7479, the journal is based in Germany and contributes significantly to the advancement of knowledge in its fields, boasting an impressive Scopus ranking that places it in the top echelons of Geometry and Topology, Theoretical Computer Science, and Software categories. In the 2023 category quartiles, it has achieved Q2 rankings in multiple disciplines, reflecting its high-quality research contributions. Though not Open Access, the journal's rigor and relevance to contemporary issues make it a favored resource for researchers, professionals, and students alike. From its inception in 2000 and spanning across the years until 2024, SOFT COMPUTING continues to serve as a robust platform for innovative research and theoretical advancements, making it an essential read for anyone engaged in the rapidly evolving landscape of computational intelligence.

Journal of Sports Analytics, published by IOS PRESS, is a leading scholarly journal dedicated to the interdisciplinary study of sports analytics. With an ISSN of 2215-020X and an E-ISSN of 2215-0218, this open-access journal has been providing a platform for groundbreaking research since 2015. The journal seeks to advance the understanding of sports performance through the application of quantitative analysis, statistical methodologies, and innovative data-driven solutions. Given the increasing importance of analytics in optimizing athletic performance, performance enhancement, and strategic decision-making in sports, the Journal of Sports Analytics serves as an essential resource for researchers, practitioners, and students alike, positioning itself at the forefront of this dynamic field. By embracing an open-access model, the journal facilitates knowledge dissemination and encourages collaboration across the global sports community.

The International Journal of Web Information Systems is a distinguished publication dedicated to advancing the field of web information systems, offering a platform for high-quality research and innovative practices. Published by EMERALD GROUP PUBLISHING LTD in the United Kingdom, this journal has established itself as a vital resource for researchers, practitioners, and academics from various disciplines, particularly in Computer Networks and Communications and Information Systems, as evidenced by its ranking in the 2023 quartile assessments (Q3) and Scopus rankings. With an H-index reflecting its impact within the academic community and a publication window spanning from 2005 to 2024, the journal is committed to fostering scholarly exchange and collaboration. While it currently does not have open access options, it provides valuable insights and breakthroughs that are essential for professionals and students navigating the ever-evolving digital landscape.

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.

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.

Statistical Analysis and Data Mining is a leading journal published by WILEY, dedicated to exploring the latest advancements in statistical methods and data mining techniques. With an ISSN of 1932-1864 and an E-ISSN of 1932-1872, this journal serves as a significant platform for researchers and professionals in statistical analysis, computer science applications, and information systems. Covering a wide range of topics from innovative analytical methodologies to emerging data mining algorithms, the journal aims to disseminate high-quality research that contributes to the evolving landscape of data science. Ranked in the Q2 category for the fields of Analysis, Computer Science Applications, and Information Systems in 2023, it emphasizes its relevance and impact within academia. While it offers limited Open Access options, the insights shared in this publication are integral for those wishing to stay ahead in fast-paced research and data-driven industries. Since its inception in 2008 and continuing through 2024, Statistical Analysis and Data Mining invites submissions that reflect rigorous empirical research coupled with practical implications, making it a vital resource for the academic community.

Big Data Research, published by Elsevier, is a leading academic journal dedicated to the exploration and advancement of Big Data methodologies and technologies. With an ISSN of 2214-5796, and a commendable impact reflected in its Scopus rankings—ranking Q2 in Computer Science Applications and Q1 in Information Systems—this journal offers a prominent platform for researchers and practitioners to share innovative findings in the realm of data science, analytics, and management. Since its inception in 2014, Big Data Research has fostered a multidisciplinary approach, addressing cutting-edge topics crucial for both academic inquiry and real-world applications. The journal's objectives include advancing the understanding of data-intensive systems, promoting essential methodologies for big data analytics, and enhancing data-driven decision-making processes across various industries. As an open access journal, Big Data Research is committed to disseminating knowledge widely, allowing researchers, professionals, and students to stay at the forefront of developments in this fast-evolving field. Its influence in the academic community is further underscored by a strong commitment to quality and relevance, making it an essential resource for anyone interested in the transformative power of big data.

Journal of Cheminformatics, published by BMC, is a premier open-access journal that has been a cornerstone of cheminformatics research since its inception in 2009. With an ISSN of 1758-2946, this journal operates from the heart of the United Kingdom, providing a dynamic platform for disseminating high-quality, peer-reviewed articles that explore the integration of computer science with chemistry. The journal proudly stands in the prestigious Q1 category across multiple disciplines, including Computer Graphics, Computer-Aided Design, and Library and Information Sciences, showcasing its exceptional impact in the fields of cheminformatics and computational chemistry. Additionally, it ranks impressively in various Scopus categories, with notable placements such as #7 in Library and Information Sciences and #15 in Physical and Theoretical Chemistry, demonstrating its significance to the academic community. As a leader in open-access publishing, the Journal of Cheminformatics ensures that cutting-edge research and innovations are freely accessible to researchers, professionals, and students alike, fostering collaboration and advancement in this rapidly evolving field.

Frontiers of Computer Science is a leading peer-reviewed journal dedicated to advancing the field of computer science through the publication of high-quality research articles, reviews, and theoretical discussions. Published by HIGHER EDUCATION PRESS, this journal has gained significant recognition, currently boasting a prestigious impact factor and ranking in the Q1 quartile for both Computer Science (miscellaneous) and Theoretical Computer Science categories in 2023. With a focus on the intersection of computational theory and practical applications, it serves as a vital platform for researchers, professionals, and students alike who are eager to contribute to and stay updated with groundbreaking developments. The journal’s scope encompasses a wide range of topics, reflecting the diverse nature of computer science today. Operating from Beijing, China, it emphasizes Open Access, ensuring that vital research is readily available to the global academic community. With its convergence period spanning from 2013 to 2024, Frontiers of Computer Science remains committed to fostering innovation and scholarly dialogue that drives the future of technology.