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.

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.

Artificial Intelligence, published by Elsevier, is a premier scholarly journal that has been at the forefront of research in the fields of Artificial Intelligence, Linguistics, and Language Studies since its inception in 1970. With a prestigious ranking in the Q1 quartile for both its primary categories, the journal is recognized for its significant contributions to the understanding and advancement of AI technologies and their applications in natural language processing. It is highly regarded in academic circles, reflected in its exceptional Scopus Rankings—placing it in the 99th percentile in both Arts and Humanities, and Social Sciences, as well as a respectable 85th percentile in Computer Science, specifically within Artificial Intelligence. Although Open Access options are not currently available, the journal provides a vital platform for researchers, professionals, and students to disseminate groundbreaking ideas, fostering innovation and collaboration in this rapidly evolving field. The journal's comprehensive scope aims to bridge theoretical advancements with practical applications, making it an invaluable resource for those seeking to explore the intersection of technology and linguistics.

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.

IEEE Computational Intelligence Magazine, published by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, is an essential resource for researchers and professionals in the fields of Artificial Intelligence and Theoretical Computer Science. With a robust Q1 ranking in both categories for 2023, this magazine stands out as a leader in disseminating cutting-edge research and innovative applications within computational intelligence. As an invaluable conduit for knowledge, it covers a diverse range of topics, including but not limited to machine learning, neural networks, and data mining. The magazine is particularly recognized for its interdisciplinary approach, bridging gaps between theory and application while contributing to advancements in technology and society. Although it does not offer open access, the insights provided are critical for staying at the forefront of this rapidly evolving discipline. Join a community of like-minded scholars and practitioners by exploring the latest findings and trends published from 2006 to 2024, operating from its headquarters at 445 Hoes Lane, Piscataway, NJ, United States.

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.

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 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.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE, published by Graz University of Technology's Institute for Information Systems and Computer Media (IICM), stands as a pivotal resource in the field of computer science. Since its inception in 1994, this Open Access Journal has fostered a culture of knowledge sharing and collaboration, allowing readers from all corners of the globe to access cutting-edge research without barriers. With an impressive convergence of studies spanning from 1996 to 2024, the journal covers a breadth of topics within Computer Science, achieving a Q3 ranking in miscellaneous areas and a Q4 ranking in theoretical computer science as of 2023. It also holds significant standing in Scopus rankings, demonstrating its influence and reach among the scientific community. The journal is particularly valuable to researchers, professionals, and students eager to explore innovative ideas and techniques that push the boundaries of computer science. Based in Austria, the journal is dedicated to maintaining high standards of scholarly integrity while promoting interdisciplinary discourse and advancements in technology.

Journal of Web Semantics, published by ELSEVIER, stands at the forefront of interdisciplinary research in the realms of Computer Networks and Communications, Human-Computer Interaction, and Software Engineering. With an impressive impact on the academic landscape, this journal holds a significant Q2 quartile ranking in multiple fields as of 2023, reflecting its strategic positioning within the top tier of scientific journals. As a valuable resource for researchers, professionals, and students, it provides a platform for innovative articles addressing contemporary challenges and advancements in web semantics—a crucial aspect of improving web usability and data integration. Operating with a Scopus Rank that places it in the commendable 71st, 67th, and 60th percentiles across its respective categories, the journal facilitates access to high-quality research findings, fostering a vibrant community of scholars dedicated to enhancing the synergy between technology and human interaction. The Journal of Web Semantics continues to evolve, marking its significance from 2003 to 2024 and offering a vital space for discourse that shapes the future of web technologies.