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.

ADCAIJ - Advances in Distributed Computing and Artificial Intelligence Journal, published by EDICIONES UNIV SALAMANCA, is an esteemed academic journal dedicated to the rapidly evolving fields of artificial intelligence, computer networks, and distributed computing. With its commitment to Open Access since 2012, the journal ensures that cutting-edge research is accessible to a global audience, fostering collaboration and innovation in the scientific community. Based in Spain, ADCAIJ is making significant strides with its current status in the Q3 quartile across various domains, including Artificial Intelligence and Information Systems. Despite its emerging status, it ranks with great potential, providing a platform for researchers to share their findings and contribute to advancements in these critical areas. The journal not only facilitates knowledge dissemination but also encourages interdisciplinary approaches that are crucial for tackling contemporary challenges. As it continues to expand its influence from 2019 through 2024, ADCAIJ is poised to play a key role in shaping future research trajectories and technological applications in its field.

Progress in Artificial Intelligence is a leading journal published by SpringerNature, dedicated to advancing knowledge and research in the field of artificial intelligence. With a strong emphasis on the latest developments from 2012 through 2024, this journal enjoys a prominent position, holding a Q2 ranking in the prestigious Artificial Intelligence category for 2023, as well as achieving an impressive ranking of 64 out of 350 in the Computer Science - Artificial Intelligence category on Scopus, placing it in the 81st percentile. Progress in Artificial Intelligence serves as an essential platform for researchers, professionals, and students seeking to share innovative algorithms, applications, and theoretical advancements. Although it operates under a subscription model, its commitment to disseminating high-quality research and fostering collaboration in the AI community significantly contributes to the ongoing evolution of this exciting discipline.

Frontiers in Artificial Intelligence, published by FRONTIERS MEDIA SA, is a pioneering open-access journal that commenced in 2018, dedicated to advancing the multifaceted field of artificial intelligence. With an impressive Q2 ranking in the category of Artificial Intelligence, it occupies a significant position within the academic community, offering a platform for high-quality, peer-reviewed research. The journal's comprehensive scope encompasses a variety of subfields, including machine learning, robotics, and human-computer interaction, making it an invaluable resource for researchers, professionals, and students alike. As an open-access journal since 2019, it ensures that cutting-edge research is readily available to a global audience, facilitating knowledge sharing and collaboration. With its headquarters in Switzerland and a commitment to scholarly excellence, Frontiers in Artificial Intelligence is at the forefront of the scientific discourse, empowering the next generation of innovations in AI.

INFORMATION SCIENCES, published by Elsevier Science Inc, is a premier peer-reviewed journal that has become instrumental in advancing the field of information science since its inception in 1968. With an impressive array of quartile rankings in 2023, including Q1 in Artificial Intelligence, Computer Science Applications, Control and Systems Engineering, Information Systems and Management, Software, and Theoretical Computer Science, this journal serves as a vital resource for researchers and professionals looking to explore cutting-edge theories and practical applications within these domains. The journal is indexed extensively, with notable Scopus rankings, reflecting its significance and influence in the academic community—ranked 6th in Theoretical Computer Science and 10th in Information Systems and Management, among others. Although it does not currently offer an open-access option, the depth of research published within INFORMATION SCIENCES ensures that it remains a key reference point for advancing academic inquiry and addressing complex challenges in the information landscape.

AI, published by MDPI, is a distinguished open access journal dedicated to advancing the field of artificial intelligence. Since its inception in 2020, the journal has swiftly established itself as a prominent platform for scholarly research, currently ranking in the Q2 category for 2023 within the artificial intelligence sector according to Scopus. With an impressive global reach from its base in Basel, Switzerland, the journal aims to foster innovation and collaboration among researchers, professionals, and students alike, providing a forum to share groundbreaking findings and applications in AI. The journal's commitment to accessibility ensures that research is available to a wide audience, enhancing knowledge dissemination and contributing significantly to the ongoing evolution of artificial intelligence technologies. To explore the latest in AI research, readers can access articles through their open access model, encouraging an inclusive academic environment.

International Journal of Machine Learning and Cybernetics, published by SPRINGER HEIDELBERG, serves as a pivotal platform for scholars and practitioners in the fields of Artificial Intelligence, Computer Vision, and Software Engineering. With its impressive Q2 and Q1 rankings in esteemed categories such as Artificial Intelligence and Computer Vision and Pattern Recognition, this journal boasts a commendable reputation within the academic community, further solidified by its Scopus rankings that place it in the top percentiles of its category. This journal covers critical advancements and research trends spanning the years from 2010 to 2024, facilitating knowledge exchange that drives innovation in machine learning and cybernetics. Although it operates under a subscription model, it remains accessible for extensive readership, comprising researchers, professionals, and students eager to advance their understanding in this dynamic and rapidly evolving discipline. Stay at the forefront of technology by engaging with the latest findings and methodologies published in this influential journal, identified by its ISSN 1868-8071 and E-ISSN 1868-808X.

International Journal of Data Warehousing and Mining, published by IGI Global, is a vital resource in the field of data management and analytics, catering to researchers, professionals, and students alike. With ISSN 1548-3924 and E-ISSN 1548-3932, this journal has been at the forefront of disseminating pioneering research since its inception in 2005 and will continue to do so through 2024. Despite its current categorization in the Q4 quartile for Hardware and Architecture as well as Software, and its Scopus rankings, the journal aims to foster innovation within the domains of data warehousing, data mining, and their applications across various sectors. The absence of an open access option does not diminish its significance; rather, it ensures that the journal maintains rigorous peer-review standards, providing high-quality research outputs that contribute to ongoing discussions and advancements within the field. Researchers and practitioners looking to stay updated on the latest trends and methodologies will find the International Journal of Data Warehousing and Mining an indispensable tool in their academic and professional endeavors.

The Journal of Decision Systems, published by Taylor & Francis Ltd, is a premier scholarly platform dedicated to advancing the fields of Library and Information Sciences, Management Information Systems, and Software. Since its inception in 1992, this journal has distinguished itself with a strong standing in the academic community, achieving a Q1 ranking in Library and Information Sciences and Q2 rankings in both Management Information Systems and Software as of 2023. With an impressive Scopus rank of #40 out of 280 in its primary discipline, the journal is situated in the top 85th percentile, making it a critical resource for researchers, professionals, and students striving to deepen their understanding of decision-making systems. Although not an open-access journal, it provides an essential repository of cutting-edge research and insights, serving as a valuable reference point for the ongoing discourse in decision systems. With a commitment to rigorous scholarship and a focus on current trends and challenges in this dynamic field, The Journal of Decision Systems plays a vital role in shaping knowledge and practice.

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.