JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, published by TARU PUBLICATIONS, is a vital platform for researchers and practitioners in the field of information science and optimization techniques. With a focus on the application of mathematical and computational methods to solve complex problems in various domains, this journal aims to advance knowledge and encourage innovative thinking. The journal's ISSN is 0252-2667 and the E-ISSN is 2169-0103. Although currently not Open Access, it strives to provide high-quality research that significantly contributes to the industry. With a commitment to rigor and excellence, the JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES is essential for anyone dedicated to enhancing their understanding and application of optimization methodologies in an ever-evolving technological landscape.

The Journal of Official Statistics, published by SAGE Publications Inc, is a premier open-access journal that has been fostering advancements in the field of statistics since its inception. With its focus on disseminating high-quality research from 1986 to present, this journal provides a vital platform for statistical practices, innovations, and methodologies applicable to various domains, including governmental and organizational data analysis. Recognized as a Q2 journal in the Statistics and Probability category with a Scopus ranking of #143 out of 278, the Journal of Official Statistics boasts a significant impact in informing statisticians and practitioners alike. Located in Sweden, this journal has embraced open access since 2013, ensuring that its comprehensive and research-driven content is accessible to a global audience. Whether you are a researcher, professional, or student, this journal serves as an essential resource for staying informed about the latest trends and discussions in the official statistical community.

Research Synthesis Methods, published by WILEY, is a prestigious journal dedicated to advancing the methodologies of research synthesis within the field of education. With a commendable impact factor that places it in the Q1 category, ranked #10 out of 1543 in the Scopus ranking for Social Sciences _ Education, this journal serves as a critical resource for researchers, professionals, and students alike. By focusing on innovative approaches to synthesizing research findings, Research Synthesis Methods fosters excellence in the evidence-based educational landscape. Although not an open-access journal, it provides various subscription options to ensure access for stakeholders. Launched in 2010 and ongoing until 2024, it continues to play a vital role in shaping research practices and enhancing educational outcomes.

International Journal of Applied Earth Observation and Geoinformation is a premier peer-reviewed journal published by Elsevier, focusing on the integration and application of earth observation and geoinformation technologies across diverse fields. With an open access model established in 2020, this journal enhances accessibility and dissemination of research crucial for addressing global challenges related to climate change, resource management, and sustainable development. The journal occupies a notable position within the academic community, featuring a Q1 ranking in multiple categories including Computers in Earth Sciences, Earth-Surface Processes, and Global and Planetary Change, reflecting its significant impact and relevance in these disciplines. It is recognized for its high-quality articles that explore innovative methodologies and applications, making it an essential resource for researchers, practitioners, and students alike who seek to advance their understanding of earth dynamics and geospatial technology. The journal is indexed in Scopus with impressive rankings that underscore its high citation impact and scholarly influence, with an emphasis on providing a platform for the latest findings in management, monitoring, and policy in environmental science.

Data Intelligence, published by MIT PRESS, is an influential open-access journal dedicated to advancing knowledge within the intersecting fields of Artificial Intelligence, Computer Science Applications, and Information Systems. Since its inception in 2019, it has rapidly established itself as a leading academic platform, achieving impressive rankings—including Q2 in its principal categories for 2023—demonstrating its impact and relevance in these dynamic fields. With an E-ISSN of 2641-435X, Data Intelligence aims to bridge theoretical research and practical applications, providing a venue for scholars and practitioners to disseminate innovative research and ideas. The journal's commitment to open access ensures that cutting-edge research is accessible to a broad audience, fostering collaboration and knowledge sharing among the global community of researchers, professionals, and students. Located in Cambridge, MA, Data Intelligence continues to pave the way for transformative insights in the realm of data-driven technologies through its rigorous peer-reviewed content and a wide array of interdisciplinary perspectives.

Journal of Statistical Software, published by the esteemed Journal Statistical Software, stands as a premier platform for the dissemination of cutting-edge research in the fields of statistical software development, methodologies, and applications. With an impressive impact factor and consistently ranking in the Q1 quartile for Software, Statistics and Probability, and Statistics, Probability and Uncertainty as of 2023, this journal is recognized globally for its scholarly contributions and innovative content. The journal has been an Open Access publication since 1996, facilitating unrestricted access to high-quality research for a diverse audience, including researchers, professionals, and students. As the journal converges into its 28th volume in 2024, it continues to maintain a strong presence in key academic rankings—evidenced by its stellar Scopus rank, where it is placed in the top 5% of journals in its field. Located at UCLA Department of Statistics, in Los Angeles, this journal is dedicated to fostering the advancement of statistical software and its role in enhancing scientific research across multiple disciplines.

COMPUTING IN SCIENCE & ENGINEERING, published by the IEEE Computer Society, is a leading journal dedicated to bridging the gap between computing principles and practical applications in the realms of science and engineering. With an impact factor that reflects its strong reputation, this journal is essential for researchers, professionals, and students seeking to explore the latest developments as well as interdisciplinary collaborations in computing. Since its inception in 1999, the journal has undergone many transformations to remain at the forefront of innovation, with a converged publication range extending through 2024. It is categorized in the Q2 quartiles for both Computer Science and Engineering, demonstrating its significance in these fields, as evidenced by its Scopus rankings, placing it in the top 30% of general engineering and computer science journals. As part of the open-access movement, readers are encouraged to engage with cutting-edge research, fostering a deeper understanding and application of computing in various scientific disciplines. Discover the latest findings and contribute to advancing knowledge in this dynamic and critical area of study.

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.

Collabra-Psychology is a premier, peer-reviewed journal published by University of California Press, focusing on the diverse and evolving landscape of psychology. Established in 2017 as a fully Open Access platform, Collabra-Psychology aims to foster innovative research and disseminate valuable findings to a global audience without barriers. It proudly holds a Q1 quartile ranking in the field of psychology (miscellaneous) for 2023, reflecting high levels of influence and quality within its domain. As part of the Scopus indexing, it ranks #88 out of 216 in general psychology, cementing its role as a critical resource for researchers, practitioners, and students alike. With a commitment to rigorous scholarship and interdisciplinary collaboration, Collabra-Psychology not only enhances the visibility of psychological research but also promotes discussions that bridge theoretical and practical applications. Located in the United States and with a forward-looking publication timeline extending to 2024, this journal is poised to remain at the forefront of psychological research and discourse.

Journal of Big Data, published by SPRINGERNATURE, is a leading academic journal dedicated to advancing the understanding and application of big data technologies and methodologies across various domains. Since its inception in 2014, this Open Access journal has gained recognition for its rigorous peer-reviewed research, boasting impressive rankings in multiple categories in Scopus, including Q1 in Computer Networks and Communications and Q1 in Information Systems. With its impactful contributions, the journal is positioned at the forefront of scholarly work on big data, addressing critical topics such as data analytics, storage, visualization, and applied data science. Its global reach and commitment to disseminating knowledge ensure that researchers, professionals, and students have equitable access to groundbreaking findings that empower advancements in technology and information systems. The Journal of Big Data continues to foster collaboration and inspire new research avenues leading to tangible impacts in the field.