CONNECTION SCIENCE, published by Taylor & Francis Ltd, is a premier open-access journal in the fields of Artificial Intelligence, Human-Computer Interaction, and Software Engineering, with an impressive history dating back to 1989. With an aim to foster innovative research and breakthroughs, this journal serves as a vital platform for scholars and practitioners seeking to publish and disseminate their findings. As of 2023, CONNECTION SCIENCE proudly holds a Q2 ranking in all three categories, reflecting its significance and influence within the academic community, supported further by robust Scopus rankings placing it in top percentiles across the disciplines. In addition to its extensive service to the global research community, it has transitioned to open access since 2022, enhancing the accessibility of high-impact research to a wider audience. For anyone involved in these dynamic fields, CONNECTION SCIENCE is crucial for keeping up with trends, theories, and practical applications that drive the future of technology and artificial intelligence.

Frontiers in Robotics and AI is a leading journal dedicated to the exploration and dissemination of groundbreaking research in the fields of robotics and artificial intelligence. Published by FRONTIERS MEDIA SA in Switzerland, it has established itself as a vital resource for academics, professionals, and students since its inception in 2014. With an impressive Open Access model, the journal ensures that high-quality research is accessible to a global audience, fostering collaboration and innovation. The journal is recognized for its distinguished impact in the academic community, achieving Q2 quartile rankings in both Artificial Intelligence and Computer Science Applications as of 2023. It currently holds a solid position in Scopus rankings, with a rank of #123 out of 350 in Artificial Intelligence and #223 out of 817 in Computer Science Applications, reflecting its robust contribution to these dynamic disciplines. The journal's scope encompasses a wide range of topics, including but not limited to autonomous systems, machine learning, and human-robot interaction, making it an essential platform for innovative ideas and advanced research.

SIAM Journal on Mathematics of Data Science is an esteemed publication within the fields of applied mathematics and data science, published by SIAM PUBLICATIONS. This journal serves as a vital platform for researchers and practitioners, dedicated to disseminating high-quality research that addresses complex mathematical problems arising in the context of data science. The journal aims to bridge the gap between rigorous mathematical theory and practical applications, fostering interdisciplinary collaboration among mathematicians, data scientists, and statisticians. With its commitment to excellence, the SIAM Journal on Mathematics of Data Science contributes significantly to advancing the understanding and development of mathematical methodologies that analyze and interpret large datasets effectively. Researchers and professionals will find it an invaluable resource with its comprehensive articles, insightful reviews, and original research papers, which represent the forefront of innovative mathematical approaches in the evolving landscape of data science. For those interested in contributing to this dynamic field, the journal provides an array of access options tailored to diverse audiences.

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.

The Journal of Advanced Computational Intelligence and Intelligent Informatics, published by FUJI TECHNOLOGY PRESS LTD, stands as a pivotal platform in the fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 1997, this Open Access journal has been providing accessible insights into the latest advancements in computational intelligence and informatics since 2007. With its ISSN 1343-0130 and E-ISSN 1883-8014, this journal invites a diverse readership, including researchers, professionals, and students eager to explore innovative methodologies and applications. Despite its current Q4 ranking in the relevant categories, the journal remains committed to contributing valuable knowledge to the academic community and enhancing the global discourse in computational technologies. With its focus on fostering communication and collaboration among scholars, the journal plays an essential role in driving forward the understanding of intelligent systems and their applications in various domains.

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!

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.

Computer Science-AGH, published by the AGH University of Science & Technology Press in Poland, is an esteemed open access journal that has been disseminating high-quality research since 2004. With ISSN 1508-2806 and E-ISSN 2300-7036, this journal focuses on a diverse range of areas within the computer science discipline, including but not limited to Artificial Intelligence, Computational Theory, Computer Graphics, and Networks. While it currently holds a Q4 ranking across several categories as of 2023, it actively promotes research that contributes to the academic community's understanding and evolution in the field. The journal's commitment to open access ensures that vital research is accessible to a wider audience, fostering collaboration and innovation. With its comprehensive focus and strategic publication goals, Computer Science-AGH plays a crucial role in advancing the frontiers of computer science research and education, making it an invaluable resource for researchers, professionals, and students alike.

Foundations and Trends in Machine Learning is a premier academic journal published by NOW PUBLISHERS INC, specializing in the cutting-edge fields of artificial intelligence, human-computer interaction, and software engineering. Since its inception in 2008, this journal has established a formidable reputation, attaining a Q1 ranking in 2023 across all three categories in the Scopus index, confirming its place among the elite publications in these disciplines. With an exceptional impact reflected in its standing as the top-ranked journal in Computer Science for both Software and Artificial Intelligence, researchers and practitioners alike turn to this resource for in-depth reviews and foundational insights that drive progress in the rapidly evolving landscape of machine learning. While currently operating under traditional access options, the journal invites a diverse audience, including students, researchers, and industry professionals, to deepen their understanding and contribute to knowledge in this dynamic area of study.

Frontiers in Computer Science is a premier open-access journal published by Frontiers Media SA that has rapidly established itself as a prominent platform for scholarly research in the diverse and evolving field of computer science. With a notable impact factor reflecting its high citation rates, this journal aims to disseminate innovative findings and groundbreaking studies across multiple subdisciplines, including Computer Science Applications, Computer Vision and Pattern Recognition, and Human-Computer Interaction. Since its inception in 2019, and with a consistent trajectory from 2019 to 2024, it has garnered accolades, achieving Q2 ranking in several categories and an impressive Q1 in miscellaneous areas of computer science. Researchers, professionals, and students alike are encouraged to contribute to this dynamic journal that serves as a vital resource for advancing knowledge and fostering collaborative dialogue in the global computer science community. Frontiers in Computer Science is committed to providing open access to research, promoting unrestricted sharing of ideas and fostering innovation at the intersection of technology and society.