Intelligenza Artificiale is a prominent academic journal dedicated to advancing the field of artificial intelligence, published by IOS PRESS, a renowned publisher in the scientific community. Based in the Netherlands, this journal's ISSN is 1724-8035 and its E-ISSN is 2211-0097. With a current impact factor that reflects its relevance in the scholarly landscape, it operates in the Q2 quartile of the Artificial Intelligence category as of 2023, which ranks it notably at #200 out of 350 within its field according to Scopus data. The journal provides a valuable platform for researchers, professionals, and students to disseminate and access cutting-edge findings from 2018 to 2024, focusing on the innovative applications and theoretical developments in artificial intelligence. With its commitment to fostering academic dialogue and collaboration, Intelligenza Artificiale is essential for anyone looking to stay at the forefront of AI research and practice.

COMPUTER VISION AND IMAGE UNDERSTANDING is a leading academic journal published by Academic Press Inc, Elsevier Science, dedicated to the advancement of the fields of computer vision, image understanding, and pattern recognition. Since its inception in 1993, this esteemed publication has garnered a reputation for excellence, achieving a remarkable Q1 ranking in the categories of Computer Vision and Pattern Recognition, Signal Processing, and Software as of 2023. With its robust impact factor and high visibility in the scientific community—ranking #22 out of 106 in Computer Vision and Pattern Recognition and #27 out of 131 in Signal Processing—this journal serves as a vital resource for researchers, professionals, and students looking to explore and contribute to state-of-the-art developments. Although it does not operate under an Open Access model, its rigorous peer-reviewed content ensures quality and relevance in a rapidly evolving technological landscape. The journal’s commitment to fostering innovation makes it an essential tool for anyone engaged in the study and application of computer vision technologies.

MACHINE LEARNING is a premier academic journal published by SPRINGER, dedicated to advancing the field of artificial intelligence and software engineering. Established in 1986, this journal has consistently showcased pioneering research and innovative methodologies that facilitate the understanding and application of machine learning techniques across various domains. With an impressive impact factor reflecting its high-quality publications, it is classified within the top quartile (Q1) in both Artificial Intelligence and Software categories as of 2023, underscoring its critical role in these fields. The journal boasts significant Scopus rankings, placing it at the 45th and 54th positions, respectively, in Computer Science - Software and Computer Science - Artificial Intelligence, further validating its stature as a vital resource for researchers, professionals, and students alike. While not an open-access journal, MACHINE LEARNING ensures that its comprehensive peer-reviewed articles are widely circulated, fostering academic dialogue and innovation. The journal continues to be a go-to platform for cutting-edge research, providing invaluable insights and contributions that drive the future of machine learning.

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.

Intelligent Decision Technologies-Netherlands, published by IOS PRESS, is an emerging journal dedicated to the dynamic fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 2007 and continuing through 2024, this journal aims to foster interdisciplinary research and innovation by providing a platform for cutting-edge studies and applications of intelligent systems. While its current impact factor reflects a growing influence within the scientific community, with quartile rankings ranging from Q3 to Q4 in various pertinent disciplines, Intelligent Decision Technologies plays a pivotal role in shaping future research directions. Although the journal does not offer open access, it remains accessible across academic institutions, encouraging researchers, professionals, and students to contribute to and engage with the latest advancements in decision technologies. With a commitment to quality and relevance, this journal seeks to advance knowledge and enhance the understanding of intelligent systems in today's rapidly evolving technological landscape.

Machine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.

Künstliche Intelligenz is a premier journal dedicated to the field of Artificial Intelligence, published by Springer Heidelberg in Switzerland. With an ISSN of 0933-1875 and an E-ISSN of 1610-1987, this journal serves as a vital platform for the dissemination of cutting-edge research and innovations in AI. Recognized within the Scopus ranking as #78 out of 350 in the category of Computer Science _ Artificial Intelligence, it holds a significant place within the academic community, reflecting a 77th percentile standing in its field. The journal operates in a traditional publishing model, offering a comprehensive scope that spans major advancements and theoretical explorations in AI from 2010 to 2024. As a Q3 journal within its category for 2023, Künstliche Intelligenz is poised to foster critical dialogue and collaboration among researchers, practitioners, and students, making it an essential resource for anyone looking to stay abreast of the transformative developments in artificial intelligence.

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!

Big Data and Cognitive Computing is a premier open-access journal published by MDPI, dedicated to advancing research in the dynamic fields of artificial intelligence, computer science, information systems, and management information systems. Since its inception in 2017, the journal has established a significant presence, reflected in its impressive categorization within the Q2 quartiles for multiple disciplines in the 2023 rankings. Situated in Switzerland, the journal provides a vital platform for researchers, professionals, and students to publish groundbreaking work and access high-quality articles, enhancing the exploration of big data applications powered by cognitive computing. With an increasing global emphasis on data-driven decision-making, Big Data and Cognitive Computing offers unrestricted access to innovative research findings, addressing both theoretical and practical aspects. The journal's contributions are integral for those looking to stay at the forefront of technological advancements and their implications across various sectors.

PROCESAMIENTO DEL LENGUAJE NATURAL, published by the SOCIEDAD ESPAÑOLA DE PROCESAMIENTO DEL LENGUAJE NATURAL (SEPLN), is a premier journal that serves as a vital resource in the interdisciplinary fields of Computer Science and Linguistics. With an impressive 2023 impact factor ranking it as Q2 in Computer Science Applications and Q1 in Linguistics and Language, this journal offers valuable insights into the latest advancements and research trends. Based in Spain, and associated with the University of Alicante, the journal provides a platform for the dissemination of high-quality research, contributing significantly to the understanding of natural language processing and its applications. Although it operates under a traditional subscription model, the accessibility and relevance of its content make it an essential read for researchers, professionals, and students keen on exploring the intersection of language and technology. The journal’s performance, reflected in its Scopus ranks that place it in the top percentiles across various categories, reaffirms its importance in academia and its commitment to fostering innovation and knowledge in the field.