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.

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.

Data Science and Engineering is a premier open access journal published by SPRINGERNATURE, dedicated to advancing the fields of data science, artificial intelligence, computational mechanics, and information systems. Since its inception in 2016, this journal has rapidly established itself as a leader in the academic community, boasting an impressive Q1 ranking in multiple computer science categories, including Artificial Intelligence, Software, and Information Systems. With a commitment to disseminating high-quality research, it caters to a diverse audience of researchers, professionals, and students eager to explore the intersection of data and technology. The journal's robust global reach, combined with its respected reputation, empowers authors to share their findings widely, facilitating breakthroughs and innovations across the digital landscape. Join the vibrant community of scholars contributing to this integral field of study, and stay informed with the latest research by accessing the journal freely online.

Computer Science Journal of Moldova, published by the Institute of Mathematics and Computer Science Academy, serves as a pivotal platform for disseminating research in the field of computer science since its inception in 1993. With a focus on a diverse range of subjects, including Artificial Intelligence, Computational Mathematics, and Software Engineering, this open access journal aims to foster innovation and collaboration among researchers, students, and industry professionals. Despite its current positioning in the lower quartiles as per the latest Scopus rankings, the journal remains committed to enhancing the visibility of regional research and addressing contemporary challenges through scholarly contributions. The journal’s open access model ensures that knowledge is freely available, promoting broader readership and impact within the international academic community. As it moves through the converged years from 2019 to 2024, the Computer Science Journal of Moldova continues to aspire toward empowering the next generation of computer scientists while enriching the global dialogue in this rapidly evolving field.

PROGRAMMING AND COMPUTER SOFTWARE is a distinguished journal committed to advancing the field of software development and programming methodologies. Published by PLEIADES PUBLISHING INC, this journal has been a valuable resource since its inception in 1978, reaching out to researchers, professionals, and students alike. With an emphasis on rigorous peer-reviewed articles, the journal holds a Q3 ranking in the realm of Software according to the latest 2023 Category Quartiles. Though it does not offer open access, the journal ensures that high-quality research is disseminated to its audience, providing insights into evolving programming techniques, software engineering challenges, and innovative solutions. With its convergence of years extending to 2024, PROGRAMMING AND COMPUTER SOFTWARE remains a pivotal publication, fostering a deeper understanding of the complexities in computer programming while supporting the broader software community.

PeerJ Computer Science is a leading open access journal published by PEERJ INC, dedicated to the field of computer science. Since its inception in 2015, it has made significant strides in promoting scholarly communication and accessibility to cutting-edge research. With an impressive impact factor reflected by a Q1 ranking in the Computer Science (miscellaneous) category and a Scopus rank of 51 out of 232, this journal stands at the forefront of its field. The journal's open access model ensures that groundbreaking findings are readily available to researchers, professionals, and students alike, fostering collaboration and innovation in the ever-evolving landscape of computer science. As it continues to publish until 2024 and beyond, PeerJ Computer Science remains an essential resource for those seeking to stay ahead in their research and practice.

Machine Learning and Knowledge Extraction, published by MDPI, is an esteemed Open Access journal that has been at the forefront of disseminating cutting-edge research since its inception in 2019. Based in Switzerland, this journal has established itself as a significant contributor to the fields of Artificial Intelligence and Engineering, currently ranking in the Q2 category in Artificial Intelligence and Q1 in Engineering (miscellaneous) for 2023. With a notable Scopus ranking, it holds the 35th position out of 204 in Engineering, placing it in the 83rd percentile, while it ranks 127th out of 350 in Computer Science, reaching the 63rd percentile. Machine Learning and Knowledge Extraction serves as a vital platform for researchers, professionals, and students alike, promoting insightful discussions, innovative methodologies, and profound discoveries in machine learning and data extraction techniques. The journal's open access model ensures that groundbreaking research is widely accessible, fostering collaboration and advancing knowledge across various disciplines.

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.

The International Journal of Cognitive Informatics and Natural Intelligence, published by IGI Global, is an essential resource for researchers and professionals exploring the intersections of cognitive informatics, artificial intelligence, and human-computer interaction. Since its establishment in 2007, this journal has focused on advancing the understanding of cognitive systems and their applications in natural intelligence, contributing significantly to the fields of software engineering and interface design. Operating out of the United States, the journal aims to disseminate high-quality research and innovative methodologies to foster interdisciplinary collaboration. Despite its current standing in Q4 quartiles for the fields of Artificial Intelligence, Human-Computer Interaction, and Software, it serves as a vital platform for emerging scholars and seasoned professionals alike seeking to explore new frontiers in cognitive technologies. While it does not provide direct open access, these publications are instrumental in shaping academic discourse, and contribute to ongoing advancements in how we understand and integrate cognitive science into practical applications.

The ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, published by Springer, is a prominent journal dedicated to exploring the intersection between mathematics and artificial intelligence. With an ISSN of 1012-2443 and an E-ISSN of 1573-7470, this esteemed publication has been at the forefront of groundbreaking research since its inception in 1990, converging its focus to address emerging trends through 2024. Currently categorized in the Q3 quartile for both Applied Mathematics and Artificial Intelligence as of 2023, it holds respectable ranks within Scopus, positioning itself as a vital resource for scholars with a rank of #228 in Applied Mathematics and #217 in the realm of Artificial Intelligence. Notable for its commitment to advancing theoretical and applied methodologies, this journal serves as an indispensable platform for researchers, professionals, and students keen to deepen their understanding and innovate within these domains. Although it does not operate under an open-access model, the journal emphasizes rigorous peer-reviewed scholarship, ensuring that each published article contributes significantly to the global dialogue on number theory, machine learning, and their multifaceted applications.