MEASUREMENT is a premier academic journal published by Elsevier Science Ltd, dedicated to advancing research in the fields of Applied Mathematics, Condensed Matter Physics, Electrical and Electronic Engineering, Statistics, and Instrumentation. With an impressive Q1 ranking in multiple categories as of 2023, MEASUREMENT stands out with its strong impact factor, indicative of its high-quality contributions to interdisciplinary research. Since its inception in 1983, the journal has maintained a commitment to publishing innovative methodologies, cutting-edge technologies, and significant advances in measurement science. Although currently not an Open Access publication, the journal provides vital access options through institutional subscriptions, ensuring that researchers, professionals, and students can delve into a wealth of knowledge throughout its pages, including both theoretical and practical applications. The journal’s rigorous peer-review process ensures that only the highest quality research is disseminated, making it an essential resource for anyone involved in quantitative analysis and measurement in diverse scientific domains.

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.

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.

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.

INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS

Published by WORLD SCIENTIFIC PUBL CO PTE LTD, the INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS plays a pivotal role within the fields of Computer Science and Information Systems. With a focus on the development and application of cooperative information systems, this journal aims to foster innovation and collaborative research among scholars and professionals. Established in 1996, the journal has consistently published high-quality research that contributes to a better understanding of cooperative methodologies, enhancing system efficiencies across various applications. While its impact factor remains undisclosed, the journal is positioned in the Q4 category of the Scopus rankings, indicating a growing presence in the academic community. Although it does not offer open access, its rich repository of articles remains accessible to subscribers and relevant institutions. Located in Singapore, this journal will continue to serve as a critical resource for researchers, practitioners, and students keen on exploring the evolving dynamics of information systems in today's interconnected world.

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.

BIOMETRICAL JOURNAL is a prestigious academic publication dedicated to advancing the fields of Medicine and Statistics. Published by WILEY since its inception in 1977, this journal plays a critical role in disseminating cutting-edge research and methodologies that bridge the gap between statistical theory and real-world medical applications. With an impressive Q1 ranking in both Medicine (miscellaneous) and Statistics, Probability and Uncertainty, it is recognized for its high-impact contributions to the scientific community. The journal actively encourages submissions that utilize innovative statistical techniques to address complex biomedical issues, making it an essential resource for researchers, professionals, and students aiming to enhance their understanding of quantitative approaches in health and medicine. Although the journal is not open access, its rigorous peer-review process guarantees the quality and relevance of published works, further establishing its significance in the academic landscape.

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.

Acta Informatica Pragensia is a prominent open access journal published by UNIV ECONOMICS, PRAGUE, which has been dedicated to advancing the fields of Computer Science Applications, Information Systems, Library and Information Sciences, and Management Information Systems since its inception in 2012. Situated in the beautiful Czech Republic, this journal aims to foster academic dialogue and disseminate high-quality research across these interdisciplinary domains. With an H-index indicating its growing impact, Acta Informatica Pragensia offers authors the opportunity to publish their findings in a Q4 ranked journal within significant categories according to the 2023 metrics, including a notable Q3 in Library and Information Sciences. Its placement in the Scopus ranks also showcases its relevance in the field, including a solid position in the 58th percentile for Library and Information Sciences. The journal's open access model ensures that research is widely available, empowering students, researchers, and professionals to engage with the latest innovations and trends. Submissions from diverse backgrounds are welcomed, making it an essential resource for those seeking to contribute to the evolution of information technology and systems.

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.