Neural Network World, published by the Academy of Sciences of the Czech Republic, Institute of Computer Science, is a preeminent journal dedicated to the fields of artificial intelligence, hardware and architecture, software engineering, and neuroscience. Since its inception in 1994, this journal has provided a platform for the dissemination of pioneering research and technical advancements in neural networks and their applications. Operating from the heart of Prague, this publication holds a Q4 quartile ranking across key categories, highlighting the growing interest and relevance in its multidisciplinary focus. Although it does not currently offer open access, its commitment to scholarly rigor ensures that readers engage with high-quality content, making it a valuable resource for researchers, professionals, and students alike. As the field evolves, Neural Network World serves as an essential forum for innovative ideas and critical discussions, reinforcing its significance in driving forward the future of technology and neuroscience.

The International Journal of Semantic Computing is a premier scholarly publication focused on the intersection of artificial intelligence, computer networks, and linguistics, published by World Scientific Publishing Co PTE Ltd. Since its inception in 2007, this journal has strived to advance the field of semantic computing by promoting innovative research and interdisciplinary collaboration among professionals and academics. With a diverse scope that spans across various categories including Artificial Intelligence, Information Systems, and Linguistics, it boasts commendable rankings, particularly in the fields of Linguistics (77th Percentile) and Linguistics and Language (Rank #259/1167). The journal caters to a broad audience by offering critical insights and cutting-edge studies, thereby contributing significantly to knowledge enhancement in semantic technologies and computational linguistics. Although it does not offer open access options, its rigorous peer-review process ensures the publication of high-quality research that is invaluable for both researchers and students seeking to deepen their understanding in these rapidly evolving areas.

JOURNAL OF MACHINE LEARNING RESEARCH, published by MICROTOME PUBL, stands as a premier journal in the realms of Artificial Intelligence, Control and Systems Engineering, Software, and Statistics and Probability. With an impressive Q1 ranking across multiple categories and a prominent Scopus ranking that places it among the top journals in its field—ranked 1st in Mathematics and 20th in both Artificial Intelligence and Software—this journal serves as a vital resource for cutting-edge research and advancements in machine learning. Established in 2001, it has been committed to disseminating high-quality research findings and innovative methodologies, addressing the evolving challenges and opportunities in machine learning. Furthermore, the journal maintains a rigorous peer-review process, ensuring that only the most significant contributions are published. With open access options available and a strong user-friendly platform, it invites researchers, professionals, and students to engage deeply with the pioneering work in the field.

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.

Frontiers of Computer Science is a leading peer-reviewed journal dedicated to advancing the field of computer science through the publication of high-quality research articles, reviews, and theoretical discussions. Published by HIGHER EDUCATION PRESS, this journal has gained significant recognition, currently boasting a prestigious impact factor and ranking in the Q1 quartile for both Computer Science (miscellaneous) and Theoretical Computer Science categories in 2023. With a focus on the intersection of computational theory and practical applications, it serves as a vital platform for researchers, professionals, and students alike who are eager to contribute to and stay updated with groundbreaking developments. The journal’s scope encompasses a wide range of topics, reflecting the diverse nature of computer science today. Operating from Beijing, China, it emphasizes Open Access, ensuring that vital research is readily available to the global academic community. With its convergence period spanning from 2013 to 2024, Frontiers of Computer Science remains committed to fostering innovation and scholarly dialogue that drives the future of technology.

Automatika is a renowned academic journal dedicated to the fields of Computer Science and Control and Systems Engineering, published by TAYLOR & FRANCIS LTD. Since its establishment, this journal has embraced an Open Access model, enabling researchers worldwide to disseminate and access high-quality research freely since 2001. With an ISSN of 0005-1144 and an E-ISSN of 1848-3380, Automatika plays a pivotal role in fostering innovation and disseminating knowledge in its domain. The journal is recognized for its contributions to expanding the understanding of complex systems and computational methodologies, proudly holding a Q2 ranking in Computer Science and a Q3 ranking in Control and Systems Engineering according to the latest category quartiles. Its influence is exemplified through a Scopus ranking of #83/232 in General Computer Science and #127/321 in Control and Systems Engineering, placing it well within the top percentiles of its field. The journal is based in the United Kingdom and continues to converge towards its goal of advancing the frontiers of research from 2009 to 2024, making it an essential resource for researchers, professionals, and students aiming to stay at the cutting edge of technological advancements.

Applied System Innovation is a leading multidisciplinary journal published by MDPI, dedicated to advancing the fields of applied mathematics, artificial intelligence, control systems, human-computer interaction, and industrial and manufacturing engineering. With an impressive Open Access model established since 2018, it ensures that research findings are readily accessible to a global audience, fostering collaboration and innovation. The journal, boasting a robust impact in academia, has achieved multiple distinguished quartile rankings for 2023, including Q1 in Industrial and Manufacturing Engineering and Q2 in several other key disciplines. It is recognized in various Scopus categories, with notable rankings in applied mathematics and control systems. By encouraging high-quality research and providing a platform for knowledge exchange, Applied System Innovation plays a vital role in shaping the future of technology and engineering solutions. We invite researchers, professionals, and students alike to contribute to this dynamic field through impactful publications that inspire advancements in our understanding of complex systems.

The University Politehnica of Bucharest Scientific Bulletin Series C-Electrical Engineering and Computer Science is an esteemed academic journal dedicated to advancing knowledge in the fields of electrical engineering and computer science. Published by POLYTECHNIC UNIV BUCHAREST, this journal serves as a vital platform for researchers and professionals to share their innovative findings and insights. With an ISSN of 2286-3540 and an E-ISSN of 2286-3559, it has been a beacon of scholarly communication since its inception in 2008. Though currently categorized in Q4 in Electrical and Electronic Engineering, the journal is committed to enhancing its impact within the academic community and industry by fostering research that bridge gaps between theory and practical application. Operating from Romania, the journal emphasizes open access for its readership, ensuring wide dissemination of its content. Researchers, professionals, and students are encouraged to contribute and explore groundbreaking studies, as this journal aims to elevate the discourse and innovation in engineering and computer science.

Inteligencia Artificial-Iberoamerican Journal of Artificial Intelligence, published by the ASOC ESPANOLA INTELIGENCIA ARTIFICIAL, serves as a pivotal platform for disseminating cutting-edge research in the burgeoning fields of artificial intelligence and software development. Established in 1997 as an Open Access journal, it ensures broad accessibility to its scholarly content, thus fostering collaboration and knowledge exchange amongst researchers, professionals, and students across the globe. Based in Valencia, Spain, the journal currently operates within a significant timeline spanning from 2004 to 2010 and 2012 to 2024, enabling continual contributions to the academic discourse. Although it holds a Q4 quartile ranking in both the Artificial Intelligence and Software categories and a notable yet competitive Scopus ranking among its peers, the journal remains committed to advancing the understanding and application of sophisticated AI methodologies. As it continues to embrace innovative research, this journal stands as a crucial reference point for those keenly navigating the complexities of artificial intelligence in a rapidly evolving digital landscape.

BIOLOGICAL CYBERNETICS is a premier journal published by SPRINGER, dedicated to advancing the fields of biotechnology and computer science through the lens of biological interactions. With an ISSN of 0340-1200 and an E-ISSN of 1432-0770, this esteemed journal has been a cornerstone of academic research since its inception in 1961 and is set to continue influencing the landscape of biological cybernetics through 2024. The journal currently holds a Q3 ranking in the Biotechnology category and a Q2 ranking in miscellaneous Computer Science according to the 2023 category quartiles, showcasing its credibility and impact in the interdisciplinary nexus of these fields. Although it does not provide open access options, researchers and students can engage with its innovative content that includes original research articles, reviews, and methodologies that explore the computational modeling of biological systems and the integration of artificial intelligence in biological research. With its strategic location in the United States and a robust publication record, BIOLOGICAL CYBERNETICS remains an essential resource for anyone looking to deepen their understanding and application of cybernetic principles within biological contexts.