Network Neuroscience is a premier open-access journal published by MIT Press, focusing on the interdisciplinary nexus of neuroscience, applied mathematics, artificial intelligence, and computer science. Since its inception in 2017, the journal has established itself as a leading outlet for innovative research and cutting-edge methodologies, ensuring disseminated knowledge is freely accessible to all. With an impressive Q1 ranking in multiple categories including Applied Mathematics, Artificial Intelligence, Computer Science Applications, and Neuroscience, it serves as a vital platform for scholars, professionals, and students to explore the intricate networks that underpin cognitive processes and brain function. The journal is committed to advancing the understanding of complex neural mechanisms through interdisciplinary approaches and remains a crucial resource for anyone engaged in the burgeoning fields of network science and neuroscience research.

Computational and Mathematical Organization Theory, published by SPRINGER, is a prominent journal specializing in the intersection of mathematical and computational methodologies within organizational theory. With its ISSN 1381-298X and E-ISSN 1572-9346, this journal has established itself as a critical source of cutting-edge research since its inception in 1995 and continues to thrive with contributions spanning from 2005 to 2024. Noteworthy is its recognition in the 2023 quartile rankings, where it holds a Q2 status across multiple categories, such as Applied Mathematics, Computational Mathematics, and Decision Sciences, reflecting its broad analytical scope and the relevance of its findings to diverse fields. Furthermore, its Scopus rankings position it favorably within the academic community, underscoring its significant impact in Applied Mathematics (Rank #156/635), Computational Mathematics (Rank #59/189), and Modeling and Simulation (Rank #122/324). Although the journal is not open access, it provides crucial insights and methodologies that aid researchers and practitioners in enhancing organizational processes through mathematical and computational lenses. For scholars seeking to advance their understanding and application of these interdisciplinary approaches, Computational and Mathematical Organization Theory serves as an invaluable resource in the ever-evolving landscape of academic inquiry.

The Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.

Computational Management Science, published by SPRINGER HEIDELBERG, is a significant journal catering to the intersection of technology, management, and decision sciences. With an ISSN of 1619-697X and E-ISSN 1619-6988, this journal serves as a platform for innovative research focusing on computational methods applied to management science, operations research, and information systems. Based in Germany, the journal spans a critical period from 2005 to 2024, emphasizing trends that shape the future of the field. As a Tier 3 journal in multiple categories including Business, Management, and Accounting, and ranked across various disciplines with Scopus rankings highlighting its relevance, it stands out in fostering scholarly discourse. The journal invites contributions that enhance the application of computational techniques in decision-making, thereby enriching the practices of both academics and industry professionals. While it currently does not offer open access, its influence is reflected in its established readership and community engagement. Researchers, practitioners, and students alike will find in this journal a vital resource for advancing knowledge and sparking innovation in computational management.

REGE-Revista de Gestão is a prominent open-access journal published by Emerald Group Publishing Ltd, based in the United Kingdom. With an ISSN of 1809-2276 and an E-ISSN of 2177-8736, this journal has been instrumental in the fields of Business and International Management, Management Information Systems, Management of Technology and Innovation, and Marketing since its inception in 2000. The journal has achieved commendable standings, with its quartile rankings placing it in Q2 for Business and International Management and Management Information Systems in 2023, and Q3 in Management of Technology and Innovation and Marketing. This positions it within the 45th to 53rd percentile of its respective categories according to Scopus rankings, highlighting its growing influence and relevance. REGE aims to disseminate high-quality, peer-reviewed research that contributes to the advancement of knowledge and practice in management disciplines, catering to an audience of researchers, professionals, and students. By providing open access to cutting-edge research insights, it fosters a collaborative academic environment, ensuring that its findings are accessible to a global readership. This commitment to accessibility and excellence in academic scholarship solidifies the journal's status as a critical resource in the management field.

KNOWLEDGE AND INFORMATION SYSTEMS, published by SPRINGER LONDON LTD, is a distinguished journal in the field of information systems, artificial intelligence, and human-computer interaction. With its ISSN 0219-1377 and E-ISSN 0219-3116, this journal has built a robust reputation since its inception, featuring a convergence of valuable research from 2005 through 2024. Catering to a diverse academic audience, it is classified among the leading journals in its category, proudly holding a Q1 ranking in Information Systems and Q2 rankings in multiple other domains. The journal aims to publish cutting-edge research that not only advances theoretical understanding but also provides practical applications within these rapidly evolving fields. Although it is not an Open Access journal, subscribers can access a wealth of knowledge critical for researchers, practitioners, and students looking to enhance their expertise. With a 2023 Scopus rank placing it within the 66th percentile for Information Systems, KNOWLEDGE AND INFORMATION SYSTEMS is an invaluable resource for those committed to pushing the frontiers of knowledge in technology and information science.

Applied Network Science is a premier open access journal published by SpringerNature that has been a vital resource in the fields of computational mathematics and computer networks since its inception in 2016. With an impressive Q1 ranking in Multidisciplinary fields and Q2 rankings in both Computational Mathematics and Computer Networks and Communications, it distinguishes itself as a significant contributor to interdisciplinary research efforts. The journal fosters innovative methodologies and applications within network science, making it a crucial platform for researchers, professionals, and students alike. With an E-ISSN of 2364-8228 and a commendable standing in global rankings, it supports a broad audience through its commitment to open access, ensuring that groundbreaking research is readily available. Located in Switzerland, Applied Network Science continues to shape the landscape of network research and communication, making substantial impacts across various domains.

Welcome to the INTERNATIONAL JOURNAL OF INTERNET MARKETING AND ADVERTISING, a prestigious publication dedicated to advancing the field of digital marketing and advertising strategies. Published by INDERSCIENCE ENTERPRISES LTD since its inception in 2004, this journal serves as a critical platform for researchers, professionals, and students to disseminate innovative studies and insights that reflect the rapid evolution of online marketing practices. With an ISSN of 1477-5212 and an E-ISSN of 1741-8100, the journal aims to explore the intersection of technology and consumer behavior, addressing contemporary challenges and opportunities in the digital landscape. Although currently categorized in Q4 within the Marketing field, the journal is committed to enhancing its impact with rigorous peer-reviewed articles that contribute to both theory and practice. We invite you to engage with the journal’s content and contribute to the ongoing dialogue that shapes the future of internet marketing and advertising.

ACM Transactions on Knowledge Discovery from Data (TKDD), published by the Association for Computing Machinery, is a prestigious journal at the forefront of the interdisciplinary realm of data mining and knowledge discovery. With an impressive Q1 ranking in Computer Science and a Scopus rank of #43 out of 232, this journal stands out as a top-tier resource for innovative research that addresses complex challenges in data science. Covering impactful studies from 2007 to 2024, TKDD presents cutting-edge algorithms, methodologies, and applications that shape the future of knowledge extraction from vast datasets. While not an open-access journal, it provides a platform for researchers, professionals, and students to disseminate their findings and engage with the latest advancements in this rapidly evolving field. By fostering collaboration and knowledge sharing, TKDD plays a vital role in advancing the understanding and application of data analysis techniques, making it an essential read for anyone involved in the pursuit of knowledge from data.

Network Modeling and Analysis in Health Informatics and Bioinformatics, published by SPRINGER WIEN, stands as a vital resource in the interdisciplinary domains of health informatics and bioinformatics. With an ISSN of 2192-6662 and E-ISSN of 2192-6670, this journal aims to facilitate the dissemination of innovative research that intersects network modeling, data analysis, and health applications. The journal competes at a Q3 quartile level across multiple categories including Biomedical Engineering and Health Informatics, showcasing its growing influence within the academic community. As of 2023, it holds impressive Scopus rankings, including a 20th position in Urology, illustrating its significance in the field. Although not an open access publication, the journal is dedicated to providing cutting-edge insights from 2012 to 2024 and is poised to attract researchers, professionals, and students striving to push the boundaries of knowledge in health informatics and bioinformatics. This journal is not just a platform for sharing scholarly articles; it is a catalyst for advancing methodologies that enhance patient care and medical research.