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.

PROGRAMMING AND COMPUTER SOFTWARE is a distinguished journal committed to advancing the field of software development and programming methodologies. Published by PLEIADES PUBLISHING INC, this journal has been a valuable resource since its inception in 1978, reaching out to researchers, professionals, and students alike. With an emphasis on rigorous peer-reviewed articles, the journal holds a Q3 ranking in the realm of Software according to the latest 2023 Category Quartiles. Though it does not offer open access, the journal ensures that high-quality research is disseminated to its audience, providing insights into evolving programming techniques, software engineering challenges, and innovative solutions. With its convergence of years extending to 2024, PROGRAMMING AND COMPUTER SOFTWARE remains a pivotal publication, fostering a deeper understanding of the complexities in computer programming while supporting the broader software community.

Applied Computational Intelligence and Soft Computing, published by HINDAWI LTD, is a premier open access journal that has been disseminating critical research since 2009, focusing on the intersection of artificial intelligence and soft computing. With an impressive array of quartile rankings in 2023, including Q2 in Civil and Structural Engineering and Computational Mechanics, this journal has established itself as a significant contributor to the fields of computer science and engineering. Based in Egypt, it plays a vital role in advancing knowledge by providing researchers, professionals, and students with easy access to high-quality studies. The journal’s rigorous peer-review process ensures that only the most impactful research is highlighted, making it an essential resource for those looking to stay abreast of the latest innovations and methodological advancements in applied computational intelligence. Its Scopus rankings further affirm its influence and reputation within the academic community, exemplifying its commitment to facilitating collaboration and fostering intellectual discourse in various scientific domains.

Optimization Letters, published by SPRINGER HEIDELBERG, is a leading journal dedicated to the field of optimization, serving as a platform for high-quality research that spans across mathematics, control, and management disciplines. Based in Germany, this journal has been pivotal in advancing the theory and applications of optimization since its inception in 2007, converging a wide scope of innovative methodologies and practical applications up until 2024. With an impressive Scopus ranking placing it in the Q2 category for both Business, Management and Accounting (miscellaneous) and Control and Optimization, it reflects the journal's commitment to disseminating impactful research. Researchers and practitioners benefit from the journal’s rigorous peer-review process, enhancing its credibility within the academic community. Optimization Letters invites contributions that encapsulate novel findings and methodologies that drive forward the understanding and applications of optimization, making it an invaluable resource for those in related fields.

Swarm Intelligence, published by Springer, is a leading academic journal dedicated to the interdisciplinary field of artificial intelligence, with a strong focus on the principles and applications of swarm intelligence. Since its inception in 2008, the journal has encompassed innovative research contributions that explore complex adaptive systems modeled after the collective behavior of social organisms. Operating within the Q2 category of artificial intelligence, according to the 2023 category quartiles, this journal has attained a respectable Scopus rank of 141 out of 350, placing it in the 59th percentile of its field. Researchers and professionals benefit from a platform that fosters high-quality scholarly dialogue and develops theoretical frameworks essential for understanding collective intelligence mechanisms. With no open access option currently available, readers can find this journal in esteemed libraries and university repositories, ensuring that cutting-edge research continues to permeate through the academic community and beyond.

JOURNAL OF COMPLEXITY, published by Academic Press Inc. Elsevier Science, is a prestigious academic journal that has been at the forefront of advancements in the field of complexity science since its inception in 1985. With an ISSN of 0885-064X and an E-ISSN of 1090-2708, this journal is recognized for its impactful contributions across a range of mathematical disciplines, evidenced by its Q1 quartile rankings in Algebra and Number Theory, Applied Mathematics, Control and Optimization, Numerical Analysis, Statistics and Probability, and more. Positioned within the top echelons of Scopus rankings, it boasts notable standing—ranking #6 in Algebra and Number Theory and #25 in Numerical Analysis. Researchers, professionals, and students will find the journal's rigorously peer-reviewed articles invaluable for exploring the intricate relationships and phenomena that characterize complex systems. Although not an open-access journal, the insights offered are essential for expanding knowledge in mathematical frameworks and their applications in real-world problems. With a converged publication timeline extending to 2025, the journal is poised to continue shaping the discourse in complexity studies for years to come.

Memetic Computing is a premier academic journal published by SPRINGER HEIDELBERG, dedicated to advancing research in the interdisciplinary domains of computer science and control optimization. With an impact factor that places it in the prestigious Q1 category for both Computer Science and Control and Optimization as of 2023, Memetic Computing stands at the forefront of innovation, offering researchers, professionals, and students a vital platform to explore and disseminate transformative findings in these rapidly evolving fields. With convergence periods specified from 2009 to 2024, the journal aims to illustrate the synergy between algorithmic and natural systems, reflecting current trends and future trajectories within the scope of memetic algorithms. Its robust Scopus rankings signal its significance as an influential resource within the global academic community. This journal is invaluable for those looking to enhance their understanding and engage with cutting-edge research that blends computational theory with practical applications.

Quantum Machine Intelligence is a leading academic journal published by Springer Nature, focusing on the rapidly evolving intersection of quantum computing and artificial intelligence. With an impressive impact factor reflected in its prestigious ranking in various categories—Q1 in Applied Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science, alongside Q2 in Artificial Intelligence and Software—this journal serves as a vital platform for disseminating innovative research from 2019 to 2024. Researchers, professionals, and students are encouraged to engage with the journal’s content, which features high-quality peer-reviewed articles that explore theoretical foundations and practical applications of quantum technologies in machine intelligence. Although the journal operates under traditional subscription models, it is committed to advancing open academic discourse and accessibility in the digital age. With Scopus rankings that place it among the top echelons of its fields, the journal is an essential resource for anyone interested in the transformative potential of quantum algorithms and AI.

NETWORK-COMPUTATION IN NEURAL SYSTEMS is a distinguished journal published by Taylor & Francis Inc, focusing on the innovative intersection of network theory and neural computation. Since its inception in 1990, this journal has provided a vital platform for researchers and professionals in the field of neuroscience, exploring the dynamics of neural networks and computational models. With its current Q3 category ranking in Neuroscience (miscellaneous) and a robust position in Scopus, the journal plays a critical role in advancing knowledge and discussion within this interdisciplinary area. The journal addresses a wide range of topics related to the computational aspects of neural systems, fostering collaboration and providing valuable insights amongst scholars. Although it is not an open-access publication, its well-curated content remains accessible through institutional subscriptions, ensuring that significant research reaches the hands of those who need it. As it continues to evolve through 2024 and beyond, NETWORK-COMPUTATION IN NEURAL SYSTEMS stands as a key resource for anyone deeply engaged in understanding the complexities and intricacies of neural computations.

Swarm and Evolutionary Computation is an esteemed academic journal published by Elsevier, dedicated to the exploration of innovative algorithms and methodologies derived from principles of swarm intelligence and evolutionary computation. With its ISSN 2210-6502 and E-ISSN 2210-6510, this journal has earned a prominent position in the field, evidenced by its Q1 category rankings in both Computer Science and Mathematics for 2023, reflecting its high impact and relevance. The journal's Scopus rankings further underscore its significance, placing it in the top percentile of mathematics and computer science journals. As an open-access platform, it aims to disseminate groundbreaking research that addresses real-world challenges and fosters interdisciplinary collaboration. Researchers, professionals, and students are encouraged to engage with this journal to contribute to and benefit from the ongoing advancements in swarm intelligence and evolutionary methods, which have become instrumental in solving complex optimization problems across diverse fields.