Annual Review of Biomedical Data Science, published by ANNUAL REVIEWS, stands as a premier journal in the fields of Biomedical Engineering, Biochemistry, Genetics, and Cancer Research, with an impressive Q1 ranking across these categories in 2023. With its ISSN and e-ISSN both assigned as 2574-3414, this journal serves as a critical resource for researchers, professionals, and students looking to delve into comprehensive reviews of the rapidly evolving landscape of biomedical data science. The journal's scope includes the intersection of data science methodologies and biomedical applications, making it essential for those aiming to stay at the forefront of innovations that drive advancements in healthcare and medical research. Although it currently does not provide open access options, its commitment to high-quality research and its robust rankings—placing it in the 94th percentile in its field—underscore its significance and credibility in the academic community. Operating from the United States, with its offices located in Palo Alto, CA, this journal is a vital contributor to the discourse on the integration of data science within biomedical fields, fostering collaboration and knowledge dissemination among scholars worldwide.

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.

The International Journal of Mobile Computing and Multimedia Communications, published by IGI Global, stands at the intersection of technology and connectivity, addressing the critical advancements in mobile computing and multimedia communications. With an ISSN of 1937-9412, this journal provides a platform for the dissemination of innovative research findings and insights, fostering collaboration and communication among researchers, professionals, and students within the field. Although currently indexed in the Q4 quartile for 2023 in Computer Networks and Communications, its rich archive of articles from 2009 to 2014 and 2016 to 2024 reflects the journal's ongoing commitment to exploring emerging trends, technologies, and methodologies that shape the future of mobile computing. While it is not an open-access journal, the high-quality research published here is crucial for advancing academic discourse and practical applications in an increasingly digital world. By encouraging submissions across a wide range of topics, International Journal of Mobile Computing and Multimedia Communications continues to enhance its reputation as a pivotal resource for scholars and industry experts alike.

The International Journal of Modeling Simulation and Scientific Computing, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a pivotal resource in the realms of Computer Science Applications and Modeling and Simulation. With an ISSN of 1793-9623 and an E-ISSN of 1793-9615, this journal serves as a platform for innovative and high-quality research from 2010 to 2024, contributing to the advancement of methodologies and applications in various scientific fields. Although currently categorized in the Q4 quartile for both recognized domains and positioned in the 42nd and 36th percentiles in the Scopus rankings for Mathematics and Computer Science respectively, the journal encourages scholarly exchange and fosters the integration of modeling and computational analysis in scientific research. Researchers, professionals, and students alike will find this journal an essential tool to stay updated with trends, methodologies, and cutting-edge findings in simulation and computational techniques that drive scientific inquiry today.

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.

Engineering Journal-Thailand, published by Chulalongkorn University, Faculty of Engineering, is a prominent academic journal dedicated to advancing knowledge and research in the diverse field of engineering. With an ISSN of 0125-8281 and an unwavering commitment to quality, the journal has established a substantial presence in the academic community since its inception in 2009. As of 2023, it is ranked in the Q3 category for Engineering (miscellaneous) and has achieved a Scopus rank of 137 out of 307, placing it in the 55th percentile of general engineering journals. Although it operates without open access, its impact within the engineering domain is significant, providing a vital platform for researchers, professionals, and students to disseminate their findings and engage with contemporary engineering challenges. The journal serves as a vital resource for those seeking to stay at the forefront of engineering innovation and contributes to the global discourse by bridging local insights with international perspectives.

Studies in Informatics and Control is a distinguished academic journal published by the NATL INST R&D INFORMATICS-ICI, specializing in the interdisciplinary fields of Computer Science and Electrical and Electronic Engineering. With an ISSN of 1220-1766 and a recognized standing within its field, this journal aims to foster innovation and disseminate high-quality research findings from 2010 through 2024. It maintains a significant presence in the academic landscape, holding a Q3 ranking in both Computer Science (miscellaneous) and Electrical and Electronic Engineering categories for 2023, which underscores its commitment to advancing knowledge and technology in these areas. While the journal is not open access, it provides valuable insights and results that are essential for researchers, professionals, and students striving to develop their expertise in informatics and control systems. Based in Romania, its contributions traverse international boundaries, appealing to a global audience keen on the latest developments and trends within these rapidly evolving fields.

Big Data and Cognitive Computing is a premier open-access journal published by MDPI, dedicated to advancing research in the dynamic fields of artificial intelligence, computer science, information systems, and management information systems. Since its inception in 2017, the journal has established a significant presence, reflected in its impressive categorization within the Q2 quartiles for multiple disciplines in the 2023 rankings. Situated in Switzerland, the journal provides a vital platform for researchers, professionals, and students to publish groundbreaking work and access high-quality articles, enhancing the exploration of big data applications powered by cognitive computing. With an increasing global emphasis on data-driven decision-making, Big Data and Cognitive Computing offers unrestricted access to innovative research findings, addressing both theoretical and practical aspects. The journal's contributions are integral for those looking to stay at the forefront of technological advancements and their implications across various sectors.

Machine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.

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.