Measurement Science Review is a distinguished open-access journal published by SCIENDO, dedicated to advancing the field of measurement science across various disciplines, including Biomedical Engineering, Control and Systems Engineering, and Instrumentation. Since its inception in 2008, it has actively contributed to the dissemination of innovative research and practices relevant to these fields, currently holding a notable Q3 ranking in its category as per the 2023 metrics. With an emphasis on robust scientific inquiry and practical applications, Measurement Science Review is positioned as an essential resource for researchers, professionals, and students seeking to enhance their understanding and expertise in measurement technologies. The journal provides an accessible platform for interdisciplinary dialogue and collaboration, making it a vital component of the academic landscape in Slovakia and beyond. Its publication track extends to 2024, ensuring timely access to cutting-edge research findings for a global audience.

International Journal of Innovative Computing Information and Control, published by ICIC INT, is a prominent platform dedicated to advancing the fields of computational theory, information systems, software engineering, and theoretical computer science. Since its inception in 2007, the journal has garnered attention for its rigorous peer-reviewed research and has established itself within the academic community, attaining a notable Q3 quartile ranking across its categories as of 2023. With an impressive track record of convergence from 2007 to 2024, this journal offers a wealth of insights and innovations for researchers and professionals striving to push the boundaries of technology and computing. While it operates under a subscription model, the journal's commitment to enhancing knowledge in the ever-evolving landscape of computational sciences makes it an essential resource for academics, providing timely articles that address contemporary challenges in the field.

The Journal of Scientometric Research is a pivotal publication in the fields of Computer Science Applications, Information Systems, and Library and Information Sciences, published by PHCOG NET. This journal, with ISSN 2321-6654 and E-ISSN 2320-0057, serves as a vital platform for scholars and practitioners seeking to disseminate and engage with cutting-edge research from 2019 through 2024. It occupies a noteworthy position with its 2023 category quartiles, reflecting its growing influence—ranking in Q3 for Computer Science Applications and Information Systems, and Q2 in Library and Information Sciences. The journal's Scopus rankings further emphasize its relevance, performing particularly well within the social sciences domain. Researchers, professionals, and students are encouraged to take advantage of this open-access journal, contributing to the advancement of knowledge and collaboration within the diverse intersection of these fields.

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.

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.

The Journal of Informetrics, published by Elsevier, stands as a leading platform for interdisciplinary research in the realms of Applied Mathematics, Computer Science Applications, Library and Information Sciences, Management Science, Operations Research, Modeling and Simulation, and Statistics. Boasting an impressive 2023 impact factor that ranks it in the Q1 category across multiple disciplines, the journal features a robust Scopus ranking of 38/280 in Library and Information Sciences, placing it in the 86th percentile. This esteemed journal, headquartered in the Netherlands, operates without open access, ensuring a curated selection of high-impact research. Since its inception in 2007, the Journal of Informetrics has been pivotal in advancing knowledge and fostering academic discourse, making significant contributions to the study of information metrics and analytics, thereby appealing to researchers, professionals, and students eager to stay at the forefront of this dynamic field.

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.

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.

Welcome to the Journal of Computational Methods in Sciences and Engineering, published by IOS PRESS in the vibrant academic landscape of the Netherlands. With a dedicated focus on advancing the application of computational techniques across various domains, this journal serves as a vital platform for researchers, professionals, and students alike. Although it resides in the Q4 category across key disciplines such as Computational Mathematics, Computer Science Applications, and Engineering, the journal aims to foster innovation and disseminate emerging trends in computational methodologies. Despite its current ranking, the journal’s mission is to facilitate a dialogue on pioneering approaches and their practical implications, supporting the growth and evolution of computational sciences. With a publication history that spans from 2001 to 2024, we invite contributions that reflect scientific rigor and creative solutions to complex engineering challenges, reinforcing our commitment to bridging theory and practice in this dynamic field.

Data & Policy is a premier open-access journal published by Cambridge University Press, dedicated to advancing the fields of Artificial Intelligence, Computer Science, Public Administration, and the broader Social Sciences. With its inception in 2020, the journal has quickly gained recognition, reflected in its impressive 2023 Scopus rankings—placing it in the top quartiles across multiple categories. Emphasizing the intersection of data utilization and policy-making, Data & Policy provides an essential platform for researchers, policymakers, and professionals looking to navigate and enhance the impact of data-driven decisions in society. Accessible to a global audience without subscription barriers, this journal offers valuable insights and contemporary research that are vital for educators, practitioners, and emerging scholars alike. Located in the United Kingdom, Data & Policy continues to contribute to shaping the dialogue around the ethical use of data and its implications in shaping public policy and governance.