Applied Soft Computing is a premier international journal published by Elsevier, dedicated to advancing the field of soft computing in various applications. With an ISSN of 1568-4946 and E-ISSN of 1872-9681, it has established itself as a leading resource with a commendable impact factor and significant importance in its field. As of 2023, it ranks in the Q1 category of Software in Scopus, boasting a rank of 25 out of 407 journals in Computer Science, Software, representing the 93rd percentile among peers. The journal's primary objective is to publish high-quality, innovative research articles that explore soft computing methodologies and their applications across diverse domains, fostering interdisciplinary collaboration and advancing technological solutions. Based in the Netherlands, at Radarweg 29, 1043 NX Amsterdam, it serves as a vital platform for researchers, professionals, and students eager to contribute to and stay informed about the latest developments in soft computing.

ACM Transactions on Economics and Computation, published by the Association for Computing Machinery, is a premier scholarly journal that bridges the fields of economics and computation. With an ISSN of 2167-8375 and an E-ISSN of 2167-8383, this journal has carved out a significant niche since its inception in 2013, and is set to run through 2024. Its multidisciplinary scope encompasses various quarters, being ranked Q1 in Computer Science (miscellaneous) and Q2 in Computational Mathematics, Economics and Econometrics, Marketing, and Statistics and Probability as of 2023. The journal not only ranks impressively in Scopus—positioned within the top 25% for several categories—but also fosters a collaborative environment where researchers, professionals, and students can engage with cutting-edge research that showcases innovative methodologies and theoretical advancements. Although it is not open access, the journal remains vital for advancing knowledge at the intersection of computation and economics, making it an essential resource for those looking to understand the complexities of these dynamic fields.

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

International Journal of Computational Intelligence Systems, published by SPRINGERNATURE, is a leading open-access journal that has been at the forefront of research in the field of computational intelligence since 2008. With an ISSN of 1875-6891 and an E-ISSN of 1875-6883, this journal occupies a prominent place in the academic landscape, achieving impressive rankings in its categories: Q2 in both Computational Mathematics and Computer Science (miscellaneous), reflecting its significance and relevance to researchers, professionals, and students. Based in Switzerland, the journal is committed to disseminating high-quality research and fostering innovation in computational methodologies, algorithms, and applications. Its strong impact factor and Scopus rankings—31/189 in Computational Mathematics and 53/232 in General Computer Science—underscore its critical role in advancing knowledge in these interdisciplinary fields. As an open-access journal, it provides unparalleled accessibility to cutting-edge research, supporting the global community in staying at the forefront of computational intelligence advancements.

Evolutionary Intelligence is a prestigious journal published by Springer Heidelberg, dedicated to the interdisciplinary study of Artificial Intelligence, Cognitive Neuroscience, Computer Vision, and Mathematics. With its ISSN 1864-5909 and E-ISSN 1864-5917, the journal has established a significant presence in the academic community since its inception in 2008. Spanning a diverse range of topics relevant to both theoretical and empirical research, it has achieved impressive rankings, including Q3 in Artificial Intelligence and Cognitive Neuroscience, and Q2 in Computer Vision and Pattern Recognition as of 2023. With a strong Scopus ranking that places it in the top quartiles of its field, Evolutionary Intelligence serves as an essential platform for scholars and practitioners seeking to advance knowledge and foster innovation in these dynamic fields. Researchers, professionals, and students alike will find invaluable insights and cutting-edge findings that challenge existing paradigms and inspire future explorations in intelligence-related studies.

NETWORK-COMPUTATION IN NEURAL SYSTEMS is a distinguished journal published by Taylor & Francis Inc, focusing on the innovative intersection of network theory and neural computation. Since its inception in 1990, this journal has provided a vital platform for researchers and professionals in the field of neuroscience, exploring the dynamics of neural networks and computational models. With its current Q3 category ranking in Neuroscience (miscellaneous) and a robust position in Scopus, the journal plays a critical role in advancing knowledge and discussion within this interdisciplinary area. The journal addresses a wide range of topics related to the computational aspects of neural systems, fostering collaboration and providing valuable insights amongst scholars. Although it is not an open-access publication, its well-curated content remains accessible through institutional subscriptions, ensuring that significant research reaches the hands of those who need it. As it continues to evolve through 2024 and beyond, NETWORK-COMPUTATION IN NEURAL SYSTEMS stands as a key resource for anyone deeply engaged in understanding the complexities and intricacies of neural computations.

Evolving Systems, an esteemed journal published by Springer Heidelberg, focuses on advancing the interdisciplinary field of evolving systems, encompassing areas such as computer science applications, control and optimization, control and systems engineering, and modeling and simulation. Since its inception in 2010, the journal has made significant contributions to the academic community, currently holding a commendable Q2 ranking across multiple categories for the year 2023. With an impactful focus on the dynamic behaviors of systems and their adaptive methodologies, Evolving Systems serves as a crucial platform for researchers, professionals, and students aiming to explore and expand the boundaries of system evolution. Despite being a subscription-based journal, it remains committed to fostering high-quality research dissemination and encourages submissions that push the envelope of knowledge in this rapidly developing field. The journal employs a rigorous peer-review process, ensuring the publication of cutting-edge research that meets the highest scholarly standards.

NEURAL COMPUTING & APPLICATIONS is a premier journal dedicated to the burgeoning fields of Artificial Intelligence and Software Engineering, published by Springer London Ltd. Established in 1993, the journal serves as a pivotal platform for disseminating cutting-edge research and innovative applications in neural computing, covering a broad range of topics from algorithm development to real-world applications. With its impressive categorization in the 2023 Journal Quartiles—ranging Q2 in Artificial Intelligence and Q1 in Software—it stands out in its discipline, ranking 42nd out of 407 in Computer Science Software and 50th out of 350 in Computer Science Artificial Intelligence, reflecting its significant impact in the academic community. Although not an open access journal, it provides vital access to significant findings and methodologies that drive advancements in technology. Researchers, professionals, and students looking to stay abreast of the most relevant and impactful developments in these fields will find NEURAL COMPUTING & APPLICATIONS an indispensable resource.

New Mathematics and Natural Computation, published by World Scientific Publishing Co Pte Ltd, is a pivotal journal in the realms of applied mathematics and computational theories, catering to a diverse audience of researchers, professionals, and students. With an ISSN of 1793-0057 and E-ISSN 1793-7027, this journal serves as a critical platform for disseminating innovative research and methods that intertwine mathematical theories with natural computation processes. Operating from Singapore, it emphasizes accessibility and collaboration in advancing interdisciplinary knowledge, despite its current Q4 rankings across relevant categories such as Applied Mathematics and Human-Computer Interaction—highlighting the journal’s commitment to growth and improvement in a competitive publishing landscape. As a source of insightful findings and applications in mathematics and computer science, it invites contributors to explore the dynamic intersections between these fields and foster academic dialogue. Researchers aiming to engage with cutting-edge advancements will find this journal instrumental for their work from its inaugural issue in 2012 through its projected publications into 2024.

COMPUTATIONAL STATISTICS, published by Springer Heidelberg, is a prominent international journal that bridges the fields of computational mathematics and statistical analysis. Since its inception in 1996, this journal has served as a critical platform for disseminating high-quality research and advancements in statistical methodologies and computational techniques. Operating under Germany's esteemed scholarly tradition, it holds a commendable Q2 ranking in key categories such as Computational Mathematics and Statistics and Probability, reflecting its significant impact and relevance in the academic community. Although it does not offer Open Access, the journal remains a vital resource for researchers, professionals, and students seeking to enhance their understanding of the intricate interplay between computation and statistical inference. Each issue features rigorously peer-reviewed articles that contribute to the development of innovative methodologies and applications, thereby solidifying its role in shaping the future of computational statistics.