International Journal of Software Science and Computational Intelligence-IJSSCI
Scope & Guideline
Exploring New Dimensions in Software Engineering and AI
Introduction
Aims and Scopes
- Artificial Intelligence and Machine Learning:
The journal consistently publishes research on the application of AI and machine learning techniques across diverse fields, including healthcare, marketing, and software development. This focus includes the development of algorithms, models, and frameworks that enhance decision-making and predictive capabilities. - Computational Intelligence Techniques:
IJSSCI explores various computational intelligence methodologies, such as neural networks, fuzzy systems, and evolutionary algorithms, to solve real-world problems. The journal highlights innovative approaches that leverage these techniques for optimization, classification, and data analysis. - Software Development and Engineering:
The journal addresses topics related to software engineering practices, including software cost estimation, development methodologies, and optimization algorithms. Research in this area aims to improve software quality, efficiency, and adaptability in dynamic environments. - Interdisciplinary Applications:
IJSSCI promotes research that intersects with other domains, such as healthcare, finance, and environmental science. This includes studies that apply computational intelligence to enhance processes, such as disease diagnosis, resource management, and user behavior analysis. - Emerging Technologies and Trends:
The journal is dedicated to exploring emerging technologies, including IoT, cloud computing, and edge computing, and their implications for software science and computational intelligence. Research in this area focuses on the integration and security of these technologies in practical applications.
Trending and Emerging
- Neurotechnological Applications:
Recent publications indicate a growing interest in neurotechnological applications, particularly in understanding consumer behavior and enhancing user experience. This trend is significant as it merges neuroscience with artificial intelligence, offering insights into decision-making processes. - Federated Learning and Privacy:
The rise of federated learning models illustrates a strong trend towards privacy-preserving techniques in machine learning, particularly in sensitive areas like healthcare and critical infrastructure. This theme is crucial as it addresses the increasing concerns surrounding data privacy and security. - Energy-Efficient Algorithms and Sustainability:
Research focusing on energy-efficient algorithms, particularly in cloud computing and IoT environments, has gained momentum. This trend reflects a broader societal push towards sustainability and responsible resource management in technology. - Health Informatics and AI:
There is a marked increase in studies applying AI techniques to health informatics, including disease detection and patient monitoring. This trend underscores the importance of leveraging computational intelligence to improve healthcare outcomes and operational efficiencies. - Deep Learning Innovations:
Innovative applications of deep learning, particularly in image recognition and natural language processing, have become a focal point. This trend is indicative of the growing capabilities of deep learning models and their expanding applicability across various sectors.
Declining or Waning
- Traditional Software Development Methodologies:
There has been a noticeable decrease in publications focused on traditional software development methodologies, likely due to the increasing adoption of agile and DevOps practices. Researchers may be moving towards more modern approaches that emphasize flexibility and collaboration. - Basic Data Processing Techniques:
The journal has seen fewer papers on basic data processing techniques, such as simple statistical methods or foundational data analysis. This could indicate a shift towards more complex and advanced computational techniques, as researchers seek innovative solutions to intricate problems. - Static Security Analysis:
Research related to static security analysis methods for software systems appears to be waning. As cybersecurity threats evolve, there may be a growing preference for dynamic analysis and real-time threat detection techniques, leading to a decline in traditional static approaches. - Generalized IoT Applications:
There is a decline in papers focusing on generalized IoT applications without specific use cases or innovations. As the field matures, there is a trend towards more specialized and application-driven research that addresses unique challenges within specific domains.
Similar Journals
Computer Science-AGH
Catalyzing Academic Growth in Computer ScienceComputer Science-AGH, published by the AGH University of Science & Technology Press in Poland, is an esteemed open access journal that has been disseminating high-quality research since 2004. With ISSN 1508-2806 and E-ISSN 2300-7036, this journal focuses on a diverse range of areas within the computer science discipline, including but not limited to Artificial Intelligence, Computational Theory, Computer Graphics, and Networks. While it currently holds a Q4 ranking across several categories as of 2023, it actively promotes research that contributes to the academic community's understanding and evolution in the field. The journal's commitment to open access ensures that vital research is accessible to a wider audience, fostering collaboration and innovation. With its comprehensive focus and strategic publication goals, Computer Science-AGH plays a crucial role in advancing the frontiers of computer science research and education, making it an invaluable resource for researchers, professionals, and students alike.
NEURAL COMPUTING & APPLICATIONS
Illuminating the Future of AI and Software DevelopmentNEURAL 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.
INFORMATION AND SOFTWARE TECHNOLOGY
Advancing the Frontiers of Software and Information TechnologyINFORMATION AND SOFTWARE TECHNOLOGY, published by Elsevier, is a leading journal that stands at the forefront of the fields of software engineering, information systems, and computer science applications. Since its inception in 1970 and with a focus extending to 2025, this esteemed publication has made significant contributions to the discourse on technological advancements and innovations. In 2023, it has achieved a remarkable Q1 categorization across multiple domains, including Computer Science Applications, Information Systems, and Software, reflecting its excellence and relevance in the academic community. With Scopus rankings that place it in the top percentiles in its categories (85th, 83rd, and 83rd respectively), the journal serves as an essential platform for researchers, professionals, and students eager to disseminate and engage with cutting-edge research and developments. While it does not currently offer Open Access options, the knowledge curated within its pages remains invaluable for advancing the fields of information technology and software development.
International Journal of Innovative Computing Information and Control
Advancing the frontiers of computational innovation.International Journal of Innovative Computing Information and Control, published by ICIC INT, is a prominent platform dedicated to advancing the fields of computational theory, information systems, software engineering, and theoretical computer science. Since its inception in 2007, the journal has garnered attention for its rigorous peer-reviewed research and has established itself within the academic community, attaining a notable Q3 quartile ranking across its categories as of 2023. With an impressive track record of convergence from 2007 to 2024, this journal offers a wealth of insights and innovations for researchers and professionals striving to push the boundaries of technology and computing. While it operates under a subscription model, the journal's commitment to enhancing knowledge in the ever-evolving landscape of computational sciences makes it an essential resource for academics, providing timely articles that address contemporary challenges in the field.
Software Impacts
Connecting Researchers and Practitioners in Software ScienceSoftware Impacts is an esteemed academic journal published by ELSEVIER, dedicated to advancing the field of software science and informing best practices in development and application. With an ISSN of 2665-9638, this journal facilitates the dissemination of impactful research from 2019 to 2024, making it a valuable resource for both established researchers and promising students alike. Although it currently holds a Q3 ranking in the category of Software and ranks at #270/407 in Scopus, it continues to contribute significantly to the discourse surrounding software-related innovations and methodologies. The journal’s open access policy enhances accessibility and encourages a broader readership, fostering an environment where critical discussions flourish. By addressing the ongoing challenges and advancements in software technology, Software Impacts plays a crucial role in shaping the future of software development and its applications globally.
SCIENCE OF COMPUTER PROGRAMMING
Innovating the Future of Computational TheoryScience of Computer Programming, published by Elsevier, is a leading journal dedicated to advancing knowledge in the fields of computer programming, computational theory, and software development. With a focus on interdisciplinary research that spans computational methodologies, information systems, and simulation modeling, this journal plays a vital role in disseminating innovative findings and fostering collaboration among experts in these dynamic areas. With a respectable impact factor and ranked in various Scopus Categories such as computational theory (Q3) and information systems (Q2), it provides a platform for high-quality scholarly articles that push the boundaries of programming science. Although currently not open access, the journal offers invaluable insights for researchers, professionals, and students alike, ensuring they are equipped with the latest advancements and methodologies to thrive in an ever-evolving technological landscape. The journal covers research from its convergence starting in 1981 and continues to welcome groundbreaking contributions as it looks forward to an exciting future through 2025 and beyond.
Frontiers of Computer Science
Pioneering Research for Tomorrow's TechnologyFrontiers of Computer Science is a leading peer-reviewed journal dedicated to advancing the field of computer science through the publication of high-quality research articles, reviews, and theoretical discussions. Published by HIGHER EDUCATION PRESS, this journal has gained significant recognition, currently boasting a prestigious impact factor and ranking in the Q1 quartile for both Computer Science (miscellaneous) and Theoretical Computer Science categories in 2023. With a focus on the intersection of computational theory and practical applications, it serves as a vital platform for researchers, professionals, and students alike who are eager to contribute to and stay updated with groundbreaking developments. The journal’s scope encompasses a wide range of topics, reflecting the diverse nature of computer science today. Operating from Beijing, China, it emphasizes Open Access, ensuring that vital research is readily available to the global academic community. With its convergence period spanning from 2013 to 2024, Frontiers of Computer Science remains committed to fostering innovation and scholarly dialogue that drives the future of technology.
International Journal of Computational Intelligence Systems
Catalyzing Breakthroughs in Computational Mathematics and ScienceInternational Journal of Computational Intelligence Systems, published by SPRINGERNATURE, is a leading open-access journal that has been at the forefront of research in the field of computational intelligence since 2008. With an ISSN of 1875-6891 and an E-ISSN of 1875-6883, this journal occupies a prominent place in the academic landscape, achieving impressive rankings in its categories: Q2 in both Computational Mathematics and Computer Science (miscellaneous), reflecting its significance and relevance to researchers, professionals, and students. Based in Switzerland, the journal is committed to disseminating high-quality research and fostering innovation in computational methodologies, algorithms, and applications. Its strong impact factor and Scopus rankings—31/189 in Computational Mathematics and 53/232 in General Computer Science—underscore its critical role in advancing knowledge in these interdisciplinary fields. As an open-access journal, it provides unparalleled accessibility to cutting-edge research, supporting the global community in staying at the forefront of computational intelligence advancements.
JOURNAL OF SYSTEMS AND SOFTWARE
Catalyzing Progress in Software and Systems Knowledge.JOURNAL OF SYSTEMS AND SOFTWARE, published by Elsevier Science Inc, is a premier academic journal that serves as a vital platform for the dissemination of cutting-edge research in the fields of software engineering, information systems, and hardware architecture. With an impressive impact factor and consistently ranking in the Q1 category across several relevant sectors, including hardware and architecture (ranked 33rd out of 177), information systems (ranked 72nd out of 394), and software (ranked 75th out of 407) as of 2023, this journal is recognized for its rigorous peer-review process and high-quality publications. Established in 1979, the journal has become an essential resource for researchers, professionals, and students looking to stay abreast of the latest advancements and emerging trends in systems and software. While the journal does not currently operate under an open-access model, it ensures wide visibility through its indexed publications and is dedicated to advancing scholarly discourse in computer science. With contributions from leading experts in the field, JOURNAL OF SYSTEMS AND SOFTWARE continues to shape the landscape of software and systems research.
CYBERNETICS AND SYSTEMS
Pioneering Research in Artificial Intelligence and BeyondCYBERNETICS AND SYSTEMS, published by Taylor & Francis Inc, is a pivotal journal in the fields of Artificial Intelligence, Information Systems, and Software, with its publication spanning from 1980 to 2024. Holding an ISSN of 0196-9722 and an E-ISSN of 1087-6553, this journal is recognized for its impactful contributions, ranked in Q3 across its categories according to the latest metrics. With Scopus rankings placing it at the 57th percentile for Information Systems and maintaining substantial presence in Software and Artificial Intelligence fields, CYBERNETICS AND SYSTEMS serves as an essential platform for disseminating cutting-edge research. The journal aims to publish original research, theoretical frameworks, and innovative applications that advance the understanding of system processes and cybernetic interactions, making it an invaluable resource for researchers, professionals, and students seeking to remain at the forefront of these rapidly evolving disciplines.