International Journal of Intelligent Engineering Informatics, published by INDERSCIENCE ENTERPRISES LTD, stands at the forefront of research in the interdisciplinary domains of computer science, artificial intelligence, and human-computer interaction. With an ISSN of 1758-8715 and E-ISSN of 1758-8723, this journal serves as a vital resource for researchers and professionals seeking to explore the latest advancements in intelligent engineering and informatics techniques crucial for the evolution of modern technologies. Although currently not an open-access publication, it provides a necessary platform for disseminating high-quality research; its impact factor continues to grow, attracting a diverse readership interested in signal processing, software development, and computer vision. Covering innovative topics from 2022 to 2024, the journal is committed to fostering scholarly dialogue that paves the way for emerging trends and applications in the field, ensuring its relevance and significance in today's rapidly advancing technological landscape.

International Journal of Data Science and Analytics, published by SpringerNature, is a leading peer-reviewed journal dedicated to advancing the fields of data science and analytics. Since its inception in 2016, the journal has become an essential platform for researchers, professionals, and students, promoting the exchange of innovative ideas and cutting-edge research. With an impressive categorization in Q2 across multiple domains including Applied Mathematics, Computational Theory and Mathematics, and Information Systems, it demonstrates a notable impact within the academic community, as reflected by its high rankings in various Scopus categories. The journal emphasizes rigorous methodologies and practical applications of data science, making it a valuable resource for those seeking to enhance their understanding and application of data-driven solutions. Although it currently does not operate as an open-access journal, it is committed to disseminating high-quality research that shapes the future of analytics and computation. The journal's headquarters in Switzerland further enriches its international scope, fostering a global dialogue among scholars and practitioners alike.

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.

Service Oriented Computing and Applications is an esteemed journal published by SPRINGERNATURE, focusing on the rapidly evolving domains of service-oriented computing and its myriad applications. With an ISSN of 1863-2386 and an E-ISSN of 1863-2394, this journal has an impressive track record since its inception in 2007, converging with significant contributions from researchers and professionals through 2024. This journal stands out in the academic landscape, evidenced by its categorization in Q2 across multiple fields, including Hardware and Architecture, Information Systems, Management Information Systems, and Software, as per the latest 2023 metrics. Although it does not currently offer Open Access options, its relevance in Computer Science, Business Management, and integrated technology makes it a valuable resource for scholars and practitioners alike, aiming to explore the intersection of computing technologies and their application in real-world scenarios. The journal's rankings in Scopus provide further testament to its impact and importance, making it a key publication for anyone looking to stay at the forefront of advancements in service-oriented computing.

International Journal of Data Mining Modelling and Management, published by InderScience Enterprises Ltd, is a prominent academic platform dedicated to the exploration and advancement of data mining techniques and their applications across various domains. Located in the picturesque environment of Geneva, Switzerland, this journal serves as a crucial resource for researchers, professionals, and students engaged in the fields of Computer Science, Management Information Systems, and Modeling and Simulation. With an ISSN of 1759-1163 and an E-ISSN of 1759-1171, the journal has steadily converged its scope from 2008 to 2024, emphasizing innovative methodologies and dynamic developments in data analytics. Although currently categorized in Q4 for several relevant fields according to 2023 quartiles, the journal is committed to elevating its impact and outreach through rigorous peer-reviewed research, making it an essential read for those aiming to stay at the forefront of data-driven decision-making and management practices. Whether you are a seasoned researcher or an eager student, the International Journal of Data Mining Modelling and Management offers invaluable insights and contributions to the evolving conversation in data science.

Journal of Information Processing Systems, published by the Korea Information Processing Society, serves as a pivotal platform in the fields of Information Systems and Software, catering to an audience of researchers, professionals, and students. With an ISSN of 1976-913X and an E-ISSN of 2092-805X, this journal has established its presence since its inception in 2012, continually contributing valuable insights and advancements through 2024. Notably, it has achieved a Q3 ranking within its respective categories, reflecting its ongoing commitment to quality research, evidenced by its Scopus rankings—#221 out of 394 in Information Systems and #263 out of 407 in Software. Although it currently does not offer Open Access, the journal emphasizes robust research methodologies and innovative solutions, making it an essential resource for those engaged in the rapidly evolving domain of information processing. With its base located in Seoul, South Korea, the journal remains dedicated to fostering collaboration and knowledge exchange in the global community.

Journal of Parallel and Distributed Computing, published by Academic Press Inc. Elsevier Science, is a premier international journal that has been advancing the field of computer science since its inception in 1984. Renowned for its rigorous peer-review process and high-impact research, it holds an impressive impact factor and is categorized in the top quartiles (Q1 and Q2) across multiple domains, including Computer Networks and Communications, Hardware and Architecture, Software, Theoretical Computer Science, and Artificial Intelligence. The journal is dedicated to publishing cutting-edge research that explores the latest developments in parallel and distributed computing, fostering innovation and collaboration among researchers, professionals, and students alike. With a comprehensive scope that spans theoretical foundations, practical applications, and advanced technologies, it serves as an essential resource for anyone invested in these dynamic fields. As a testament to its influence, the journal ranks in the top tiers of Scopus citations, solidifying its reputation as a thought leader in computing research.

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.

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.

COMPUTING AND INFORMATICS is a peer-reviewed academic journal published by the Slovak Academy of Sciences Institute of Informatics, focusing on various aspects of computer science and its applications. Established in 2000, this journal has garnered attention for its emphasis on computational theory, computer networks, software development, and hardware architecture, placing it in the competitive landscape of academic publishing with currently a Q3 ranking in the fields of Computational Theory and Mathematics, and Computer Networks and Communications, as well as Q4 ranking in Software and Hardware and Architecture categories. Readers can access its findings through Open Access, promoting wider dissemination of innovative research. With an ISSN of 1335-9150 and an E-ISSN of 1335-9150, the journal serves as a vital platform for showcasing cutting-edge research in the field, aiming to bridge theoretical foundations with practical applications. This journal not only contributes to the academic community but also supports the ongoing advancements in technology and informatics, making it an important resource for researchers, professionals, and students keen on staying at the forefront of the field.