IADIS-International Journal on Computer Science and Information Systems is a prominent platform dedicated to advancing research and knowledge in the field of computer science and information systems. Published by IADIS, this journal aims to disseminate innovative findings and theoretical advancements that address contemporary challenges and trends in technology. The journal fosters a rigorous peer-review process, ensuring that only high-quality research is shared with its audience, which includes researchers, professionals, and students from around the globe. Although the journal is not currently open access, it serves as a vital resource for those looking to deepen their understanding of the evolving landscape of computer science. The ISSN of this journal is 1646-3692, and it boasts a strong commitment to promoting interdisciplinary communication and collaboration in the realm of information technology, making it an essential read for anyone looking to stay at the forefront of this fast-paced field.

Founded in 2005, the International Journal of Intelligent Information Technologies serves as a pivotal platform for the dissemination of cutting-edge research in the fields of decision sciences and information systems. Published by IGI Global, this journal is dedicated to advancing the understanding of intelligent systems, data analytics, and technological innovations that drive modern decision-making processes. With an ISSN of 1548-3657 and an E-ISSN of 1548-3665, the journal is indexed strategically to ensure visibility among academia and industry professionals. Although it currently holds a ranking in the Q4 quartile of both decision sciences and information systems categories in 2023, it stands out for its comprehensive investigations into best practices and emerging trends in intelligent information technologies. It aims to provide readers with rigorous, peer-reviewed articles that offer practical insights and theoretical frameworks to facilitate informed decision-making in an increasingly data-driven world. Its commitment to quality research makes it an invaluable resource for researchers, professionals, and students alike who are eager to explore new dimensions of technology-assisted decision-making.

The Journal of Business Analytics, published by Taylor & Francis Ltd, is an esteemed platform dedicated to advancing the field of business analytics through rigorous research and innovative methodologies. Since its inception in 2018, this journal has provided a vital resource for researchers, practitioners, and students interested in the intersection of data science, management, and decision-making processes. With an impact factor reflective of its commitment to high-quality research, the journal holds notable rankings across multiple disciplines, including Q2 in Industrial and Manufacturing Engineering and Management Information Systems, as well as Q3 in Artificial Intelligence and Management Science and Operations Research. The journal's broad scope encompasses pivotal themes such as predictive analytics, decision support systems, and statistical methodologies, making it an essential resource for a diverse audience. The Journal of Business Analytics continues to foster collaboration and knowledge exchange within the academic community, positioning itself as a cornerstone for those seeking to navigate the complex landscapes of business and technology.

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.

Information and Organization is a leading academic journal published by ELSEVIER SCI LTD, specializing in the dynamic fields of Information Systems, Library and Information Sciences, Management Information Systems, and Organizational Behavior. With an impressive Impact Factor that reflects its esteemed reputation, this journal enjoys a Q1 ranking in multiple categories, highlighting its significance in both research and practical applications. Established in 1996, the journal has paved the way for innovative research, fostering a community of scholars and practitioners who are dedicated to exploring contemporary challenges and opportunities in information management and organizational practices. While primarily available through subscription, the journal's impact resonates globally, making it an essential resource for researchers, professionals, and students eager to advance their knowledge and contribute to the evolving discourse in these crucial areas. With its rigorous peer-review process and a focus on cutting-edge topics, Information and Organization is committed to disseminating high-quality research that informs practice and policy, ensuring its critical role in shaping the future of information and organizational studies.

COMPUTERS IN INDUSTRY is a premier journal published by Elsevier, dedicated to the exploration and advancement of the intersection between technology and industrial applications. With a history spanning from 1979 to 2024, this high-impact journal holds prestigious Q1 rankings in both Computer Science and Engineering, showcasing its significant contribution to the fields of general engineering and computer science. Notably, it ranks #4 out of 307 journals and #9 out of 232 journals in their respective categories on Scopus, placing it in the top 2% of publications worldwide. Although it is not an Open Access journal, it continues to serve as a vital resource for researchers, professionals, and students seeking in-depth insights and innovative research findings in industrial computing. The journal’s objective is to publish high-quality, peer-reviewed articles that advance the understanding and application of computer systems in industrial environments, reaffirming its crucial role in driving technological progress and operational efficiency.

Scalable Computing - Practice and Experience, published by UNIV VEST TIMISOARA, stands as a significant platform for research and discourse in the realm of computer science, particularly focusing on practical applications and scalability in computing systems. Established in 2005, it aims to bridge the gap between theoretical advancements and real-world implementations, catering to a diverse readership that includes researchers, professionals, and students who are keen on exploring innovative computing practices. With an H-index reflective of its contribution and a Category Quartile of Q3 in Computer Science (miscellaneous), the journal offers a rich repository of knowledge, albeit currently not open access, from its base in Timisoara, Romania. The journal is included in Scopus rankings, underscoring its relevancy with a current rank of #144 out of 232 in the General Computer Science category, placing it in the 38th percentile. It invites contributions that expand the horizons of scalable computing methodologies and experiences, making it a vital resource for those engaged in this rapidly evolving field.

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.

INDUSTRIAL MANAGEMENT & DATA SYSTEMS is a leading academic journal published by Emerald Group Publishing Ltd, focusing on the intersection of industrial management and data analytics. With a strong reputation in multiple fields—including Computer Science Applications, Industrial and Manufacturing Engineering, Industrial Relations, Management Information Systems, and Strategy and Management—the journal has attained an impressive Q1 status in 2023 across these categories, emphasizing its critical role in advancing knowledge within these domains. The journal's extensive history, dating back to 1980 and converging through 2024, reflects its commitment to disseminating cutting-edge research that empowers professionals and researchers alike. No Open Access option is available, but it remains an essential resource for those involved in industrial management and data systems, as evidenced by its strong rankings in Scopus. By publishing high-quality articles that address emerging challenges and innovations, INDUSTRIAL MANAGEMENT & DATA SYSTEMS continues to shape the future landscape of its field, making it a valuable asset for dedicated scholars and practitioners.

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.