Data & Knowledge Engineering is a prestigious, peer-reviewed journal dedicated to the fields of data management, information systems, and knowledge engineering. Published by Elsevier in the Netherlands, this journal serves as a critical resource for researchers, professionals, and students alike, offering a platform for high-quality, original research and innovative approaches in the realm of data-driven technologies and methodologies. With a considerable impact factor and classified in the Q2 quartile for Information Systems and Management, it ranks 47th out of 148 journals in its category, placing it in the esteemed 68th percentile according to Scopus metrics. Data & Knowledge Engineering covers a wide array of topics including database systems, data mining, and knowledge representation, ensuring that it remains at the forefront of advancing understanding and application in these dynamic fields. Engage with compelling articles and significant findings published since its inception in 1985, as the journal continues to shape the future of data-centric research up to 2024 and beyond.

International Journal of Data Warehousing and Mining, published by IGI Global, is a vital resource in the field of data management and analytics, catering to researchers, professionals, and students alike. With ISSN 1548-3924 and E-ISSN 1548-3932, this journal has been at the forefront of disseminating pioneering research since its inception in 2005 and will continue to do so through 2024. Despite its current categorization in the Q4 quartile for Hardware and Architecture as well as Software, and its Scopus rankings, the journal aims to foster innovation within the domains of data warehousing, data mining, and their applications across various sectors. The absence of an open access option does not diminish its significance; rather, it ensures that the journal maintains rigorous peer-review standards, providing high-quality research outputs that contribute to ongoing discussions and advancements within the field. Researchers and practitioners looking to stay updated on the latest trends and methodologies will find the International Journal of Data Warehousing and Mining an indispensable tool in their academic and professional endeavors.

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.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE, published by Graz University of Technology's Institute for Information Systems and Computer Media (IICM), stands as a pivotal resource in the field of computer science. Since its inception in 1994, this Open Access Journal has fostered a culture of knowledge sharing and collaboration, allowing readers from all corners of the globe to access cutting-edge research without barriers. With an impressive convergence of studies spanning from 1996 to 2024, the journal covers a breadth of topics within Computer Science, achieving a Q3 ranking in miscellaneous areas and a Q4 ranking in theoretical computer science as of 2023. It also holds significant standing in Scopus rankings, demonstrating its influence and reach among the scientific community. The journal is particularly valuable to researchers, professionals, and students eager to explore innovative ideas and techniques that push the boundaries of computer science. Based in Austria, the journal is dedicated to maintaining high standards of scholarly integrity while promoting interdisciplinary discourse and advancements in technology.

The Journal of Web Engineering, published by RIVER PUBLISHERS, serves as a pivotal platform for researchers, professionals, and students interested in the expanding fields of web technologies and engineering. Since its inception in 2008, this journal has dedicated itself to advancing knowledge and promoting innovative practices in Computer Networks and Communications, Information Systems, and Software Engineering. With an impressive convergence of research up to 2024, its Q3 quartile ranking in both Computer Networks and Communications and Information Systems reflects the journal's commitment to the dissemination of high-quality, impactful research. Although it operates as a traditional access journal, it allows for vital contributions to be shared widely among a diverse readership. The Journal of Web Engineering's rankings in Scopus, including a percentile placement of 28th in Computer Networks and Communications, demonstrate its relevance and growing significance in the academic landscape. As the digital world continuously evolves, this journal remains a crucial resource for exploring the latest advancements and theoretical reflections within the realm of web engineering.

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.

Data is an innovative open-access journal published by MDPI, dedicated to advancing research and knowledge in the fields of Computer Science and Information Systems. Since its inception in 2016, Data has positioned itself as a prominent platform for disseminating high-quality research, currently boasting an impact factor reflective of its rigorous peer-review process and academic standards. Situated in Switzerland, the journal encompasses a broad scope of topics, making it an essential resource for researchers, professionals, and students alike. With a notable standing in multiple categories—including Q2 rankings in Information Systems and Information Systems and Management—the journal facilitates access to cutting-edge findings and methodologies that drive innovation in data management and analysis. Scholars are encouraged to utilize this open-access platform to share their findings and contribute to the collective understanding in these rapidly evolving fields.

The International Journal of Data Mining and Bioinformatics, published by InderScience Enterprises Ltd, stands as a crucial platform for researchers and professionals dedicated to the intersection of data science and biological informatics. With its ISSN 1748-5673 and E-ISSN 1748-5681, this journal captures the essence of innovative research from 2006 to 2024. Though indexed in the Q4 category for Biochemistry, Genetics and Molecular Biology and Information Systems, it maintains a respectable Q3 status in Library and Information Sciences, reflecting its growing influence within the academic community. The journal also provides insightful contributions to the fields of big data analytics, machine learning, and computational biology. Although it is not currently an open-access journal, its relevance is underscored by its Scopus rankings, indicating a solid standing in the disciplines it encompasses. Researchers, students, and practitioners in data mining and bioinformatics are encouraged to explore the findings and methodologies presented, paving the way for future innovations in this dynamic field.

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.

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, published by Springer Singapore Pte Ltd, is a pivotal platform in the rapidly evolving realms of computer science and technology. With an ISSN of 1000-9000 and an E-ISSN of 1860-4749, this journal encompasses a diverse array of topics including computational theory, hardware and architecture, software engineering, and applications of computer science. Spanning over three decades from 1986 to 2024, it boasts an impressive standing within academic circles, ranking in the Q2 quartile across several key categories and achieving notable placement in Scopus metrics. Although this journal operates under a subscription-based model, it remains a crucial resource for researchers, professionals, and students seeking to advance their knowledge and contribute to discussions in computer science. The JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY is committed to fostering innovation and scholarly communication in the field, encouraging submissions that contribute substantive advancements in theory and application.