The Journal of Intelligent Systems, published by DE GRUYTER POLAND SP Z O O, is a premier open access journal that has been at the forefront of advancements in the fields of Artificial Intelligence, Information Systems, and Software Engineering since its inception in 1991. With a commitment to disseminating high-quality research, the journal has been recognized in the 2023 category quartiles as Q3 in these critical areas, reflecting its relevance and impact in the academic community. The journal serves as a vital platform for researchers, professionals, and students interested in the evolving landscape of intelligent systems, offering insights into innovative methodologies and applications. As an open access publication since 2020, it ensures that research is readily available to a global audience, fostering collaboration and engagement within the scientific community. With a Scopus rank in the 65th to 69th percentiles across its categories, The Journal of Intelligent Systems continues to contribute significantly to the discourse on intelligent technologies and their implications for the future.

Welcome to AI EDAM - ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, a leading journal published by Cambridge University Press. This esteemed journal focuses on innovative research at the intersection of artificial intelligence and engineering design, analysis, and manufacturing, making it an essential resource for academics, industry professionals, and students alike. With an ISSN of 0890-0604 and an E-ISSN of 1469-1760, AI EDAM has established itself within the academic community, reflected in its impressive Scopus rankings: a Q3 journal in Artificial Intelligence and a Q2 journal in Industrial and Manufacturing Engineering. Covering years from 1987 to 2024, this journal emphasizes the rapidly evolving nature of engineering practices influenced by AI technologies. With robust contributions to the fields of engineering and computer science, AI EDAM serves as a crucial platform for disseminating scholarly work that fosters advancements in design and manufacturing methodologies.

BioData Mining is a distinguished open access journal published by BMC, focusing on the dynamic intersection of bioinformatics, computational mathematics, and molecular biology. Since its inception in 2008, this journal has provided a critical platform for researchers and professionals to publish their findings, contributing significantly to the collective knowledge in fields such as biochemistry, computational theory, and genetics. With a robust impact factor and a commendable h-index, BioData Mining continues to be a vital resource for academic and industrial advancements, ranked in the top quartiles in various categories according to the 2023 metrics. The journal's commitment to open access ensures that cutting-edge research is readily available to the global scientific community, thereby enhancing visibility and fostering collaboration among scholars. Whether you are a researcher, student, or practitioner, engaging with BioData Mining will equip you with relevant insights and developments in the fast-evolving realm of bioinformatics.

The Journal of Industrial Information Integration, published by Elsevier, stands at the forefront of scholarly research in the fields of Industrial and Manufacturing Engineering and Information Systems and Management. With an ISSN of 2467-964X and an E-ISSN of 2452-414X, this esteemed journal provides a vital platform for disseminating innovative findings that bridge the gap between industry and academia. It is a recognized leader in its category, boasting a Q1 Quartile ranking in both relevant fields, reflecting its high-impact scholarly contributions. Notably, it ranks 3rd out of 148 in Decision Sciences and 7th out of 384 in Engineering disciplines on the Scopus rank, highlighting its significant influence within the research community. Researchers, professionals, and students engaged in the transformation of industrial practices through information integration will find this journal indispensable for accessing cutting-edge studies, methodologies, and case analyses. Operating under a closed access model, the journal also encourages submission of articles that contribute to advancing the theoretical and practical understanding of integrated industrial information systems, thus fostering innovation and progressive thinking in the field.

Data Science and Engineering is a premier open access journal published by SPRINGERNATURE, dedicated to advancing the fields of data science, artificial intelligence, computational mechanics, and information systems. Since its inception in 2016, this journal has rapidly established itself as a leader in the academic community, boasting an impressive Q1 ranking in multiple computer science categories, including Artificial Intelligence, Software, and Information Systems. With a commitment to disseminating high-quality research, it caters to a diverse audience of researchers, professionals, and students eager to explore the intersection of data and technology. The journal's robust global reach, combined with its respected reputation, empowers authors to share their findings widely, facilitating breakthroughs and innovations across the digital landscape. Join the vibrant community of scholars contributing to this integral field of study, and stay informed with the latest research by accessing the journal freely online.

COMPUTERS IN INDUSTRY is a premier journal published by Elsevier, dedicated to the exploration and advancement of the intersection between technology and industrial applications. With a history spanning from 1979 to 2024, this high-impact journal holds prestigious Q1 rankings in both Computer Science and Engineering, showcasing its significant contribution to the fields of general engineering and computer science. Notably, it ranks #4 out of 307 journals and #9 out of 232 journals in their respective categories on Scopus, placing it in the top 2% of publications worldwide. Although it is not an Open Access journal, it continues to serve as a vital resource for researchers, professionals, and students seeking in-depth insights and innovative research findings in industrial computing. The journal’s objective is to publish high-quality, peer-reviewed articles that advance the understanding and application of computer systems in industrial environments, reaffirming its crucial role in driving technological progress and operational efficiency.

Data & Knowledge Engineering is a prestigious, peer-reviewed journal dedicated to the fields of data management, information systems, and knowledge engineering. Published by Elsevier in the Netherlands, this journal serves as a critical resource for researchers, professionals, and students alike, offering a platform for high-quality, original research and innovative approaches in the realm of data-driven technologies and methodologies. With a considerable impact factor and classified in the Q2 quartile for Information Systems and Management, it ranks 47th out of 148 journals in its category, placing it in the esteemed 68th percentile according to Scopus metrics. Data & Knowledge Engineering covers a wide array of topics including database systems, data mining, and knowledge representation, ensuring that it remains at the forefront of advancing understanding and application in these dynamic fields. Engage with compelling articles and significant findings published since its inception in 1985, as the journal continues to shape the future of data-centric research up to 2024 and beyond.

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.

Computers & Industrial Engineering, published by PERGAMON-ELSEVIER SCIENCE LTD, is a premier journal dedicated to advancing the fields of computer science and industrial engineering. Since its inception in 1976, this journal has become a vital resource for researchers and professionals, with a remarkable impact factor and distinguished Q1 quartile rankings in both the Computer Science and Engineering categories, reflecting its significant influence and respect within the academic community. Featuring a comprehensive scope that encompasses innovative computational methods, system optimization, and industrial applications, it serves as a platform for high-quality research that explores the interplay between technology and industrial processes. Although it does not currently offer open access, the journal's robust indexing in Scopus—ranked #12 in General Engineering and #15 in General Computer Science—underscores its commitment to disseminating cutting-edge knowledge and fostering collaboration among scholars, practitioners, and students globally. With its convergence spanning until 2024, Computers & Industrial Engineering is positioned at the forefront of emerging trends, making it an essential reference point for anyone dedicated to the evolution of technology in industry.

Journal of Advanced Simulation in Science and Engineering, published by the Japan Society for Simulation Technology (JSST), stands as a pivotal platform in the dynamic field of simulation technology, focusing on cutting-edge research and applications in science and engineering. With the ISSN and E-ISSN of 2188-5303, this journal aims to disseminate high-quality research that drives innovation and enhances understanding among practitioners, academics, and students alike. As an essential resource for those engaged in simulation methodologies, it explores a wide range of topics, including but not limited to computational modeling, virtual simulations, and their applications across various engineering disciplines. The journal is indexed in prestigious databases, aiming for a strong impact factor that reflects its commitment to scholarly excellence and relevance. Its open access policy further facilitates wider dissemination and accessibility of research findings, thereby fostering greater collaboration and advancement in the field. Researchers and professionals are encouraged to contribute their findings and insights, establishing the Journal of Advanced Simulation in Science and Engineering as a leading authority in advancing simulation technologies for future applications.