Computational and Mathematical Organization Theory, published by SPRINGER, is a prominent journal specializing in the intersection of mathematical and computational methodologies within organizational theory. With its ISSN 1381-298X and E-ISSN 1572-9346, this journal has established itself as a critical source of cutting-edge research since its inception in 1995 and continues to thrive with contributions spanning from 2005 to 2024. Noteworthy is its recognition in the 2023 quartile rankings, where it holds a Q2 status across multiple categories, such as Applied Mathematics, Computational Mathematics, and Decision Sciences, reflecting its broad analytical scope and the relevance of its findings to diverse fields. Furthermore, its Scopus rankings position it favorably within the academic community, underscoring its significant impact in Applied Mathematics (Rank #156/635), Computational Mathematics (Rank #59/189), and Modeling and Simulation (Rank #122/324). Although the journal is not open access, it provides crucial insights and methodologies that aid researchers and practitioners in enhancing organizational processes through mathematical and computational lenses. For scholars seeking to advance their understanding and application of these interdisciplinary approaches, Computational and Mathematical Organization Theory serves as an invaluable resource in the ever-evolving landscape of academic inquiry.

EXPERT SYSTEMS is a prestigious journal published by WILEY, dedicated to advancing the fields of Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, and Theoretical Computer Science. Established in 1984, this journal has consistently provided a platform for rigorous research, showcasing innovative methodologies and applications that drive the future of intelligent systems. With an impressive impact factor and Scopus rankings placing it among the top quartiles within its categories, EXPERT SYSTEMS is a vital resource for researchers, professionals, and students seeking to deepen their understanding of complex systems and their applications. The journal is not currently an Open Access publication, emphasizing its commitment to high-quality, peer-reviewed research that impacts the global academic community. With a convergence year extending to 2024, it prepares to continue its legacy as a cornerstone of knowledge in these dynamic fields.

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.

Annals of the University of Craiova-Mathematics and Computer Science Series, published by UNIV CRAIOVA, is a distinguished academic journal that serves as a platform for advancing knowledge in the fields of mathematics and computer science. With an ISSN of 1223-6934 and an E-ISSN of 2246-9958, the journal has been disseminating high-quality research since its inception in 2011 and is targeted toward researchers, professionals, and students from these dynamic fields. It has been recognized in the Q3 category for both Computer Science Applications and Mathematics (miscellaneous) as of 2023, highlighting its emerging influence in the academic community, despite its current Scopus Rankings placing it at 42nd percentile for Mathematics and 14th percentile for Computer Science Applications. The journal's commitment to open access and its ongoing contributions until 2024 position it as a vital resource for fostering collaboration and innovation in Romania and beyond. Researchers interested in mathematics and computer science will find valuable insights and cutting-edge studies within its pages.

The Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.

The SIAM-ASA Journal on Uncertainty Quantification, published by SIAM PUBLICATIONS, is a premier journal dedicated to advancing the field of uncertainty quantification across various disciplines, including applied mathematics, statistics, and simulation modeling. With an impressive impact factor that places it in the Q1 quartile in multiple categories such as Applied Mathematics and Statistics and Probability, this journal represents the pinnacle of research quality and relevance. Established in 2013, it has garnered a significant readership and citation rate, reaffirming its critical role in addressing complex uncertainty challenges in modern science and engineering. Although not an open access journal, it provides a platform for rigorous peer-reviewed articles that offer insightful methodologies and applications vital to both research and industry practices. Researchers, professionals, and students will find in its pages a wealth of knowledge that drives the future of quantitative analysis, modeling, and problem-solving in uncertain environments.

Computation, published by MDPI, is an esteemed open-access journal that has been contributing to the fields of applied mathematics and computer science since its inception in 2013. With an E-ISSN of 2079-3197, this Swiss-based journal operates under a philosophy of free knowledge dissemination, allowing researchers, professionals, and students globally to access high-quality content without financial barriers. Recognized for its rigorous peer-review process, Computation is currently categorized in the Q2 and Q3 quartiles across significant domains, including Applied Mathematics (#181/635), Theoretical Computer Science (#52/130), and Modeling and Simulation (#138/324). As it converges towards 2024, the journal continues to attract innovative and impactful research aimed at advancing theoretical frameworks and practical applications within these disciplines. Joining the Computation community not only enriches individual research portfolios but also contributes to the broader conversation on computational methodologies and their applications in solving real-world problems.

Network Neuroscience is a premier open-access journal published by MIT Press, focusing on the interdisciplinary nexus of neuroscience, applied mathematics, artificial intelligence, and computer science. Since its inception in 2017, the journal has established itself as a leading outlet for innovative research and cutting-edge methodologies, ensuring disseminated knowledge is freely accessible to all. With an impressive Q1 ranking in multiple categories including Applied Mathematics, Artificial Intelligence, Computer Science Applications, and Neuroscience, it serves as a vital platform for scholars, professionals, and students to explore the intricate networks that underpin cognitive processes and brain function. The journal is committed to advancing the understanding of complex neural mechanisms through interdisciplinary approaches and remains a crucial resource for anyone engaged in the burgeoning fields of network science and neuroscience research.

Social Network Analysis and Mining, published by SPRINGER WIEN, is a premier journal dedicated to the advanced study and application of social network analysis and data mining methodologies within the fields of communication, computer science, and media technology. With rigorous peer-review standards and a 2023 category ranking within the Q1 quartile for Communication and various Q2 rankings across Computer Science and Human-Computer Interaction, this journal not only highlights cutting-edge research but also influences current trends and methodologies in the discipline. The journal's articles are accessible through subscription, ensuring a broad reach among academic institutions and professionals. Covering converged years from 2011 to 2024, Social Network Analysis and Mining serves as an essential resource for researchers, practitioners, and students seeking to deepen their understanding of social networks’ roles in information systems and digital communication, reflecting significant insights from its Scopus rankings that position it at a high percentile among related fields.

Eurasian Journal of Mathematical and Computer Applications, published by the prestigious L N GUMILYOV EURASIAN NATIONAL UNIVERSITY in Kazakhstan, stands as a vital platform for researchers and professionals engaging in the fields of Applied Mathematics, Computational Mathematics, Computer Science Applications, Information Systems, Mathematical Physics, and Modeling and Simulation. With its ISSN 2306-6172 and E-ISSN 2308-9822, this academic journal aims to foster innovative research and facilitate knowledge transfer in these interdisciplinary domains. The journal, which converges its endeavors from 2013 to 2024, is currently ranked Q3 across its various categories in 2023, reflecting its growing influence and commitment to academic excellence. Despite its open access availability, the journal's dedication to quality research is evident as it attracts contributions that not only advance theoretical understanding but also address practical applications. With a supportive community of researchers in an increasingly important field, the Eurasian Journal of Mathematical and Computer Applications is poised to remain a significant resource for those seeking to propel the boundaries of mathematical and computational sciences.