NETWORK-COMPUTATION IN NEURAL SYSTEMS

Scope & Guideline

Advancing Insights in Neural Computation and Network Theory

Introduction

Delve into the academic richness of NETWORK-COMPUTATION IN NEURAL SYSTEMS with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN0954-898x
PublisherTAYLOR & FRANCIS INC
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1990 to 2024
AbbreviationNETWORK-COMP NEURAL / Netw.-Comput. Neural Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106

Aims and Scopes

The journal 'Network Computation in Neural Systems' focuses on the intersection of neural computation, machine learning, and network systems, providing a platform for innovative research that integrates these fields.
  1. Neural Network Algorithms:
    The journal extensively covers the development and application of various neural network algorithms across multiple domains, including medical imaging, disease prediction, and cybersecurity.
  2. Machine Learning Applications:
    It emphasizes the application of machine learning techniques in real-world scenarios such as health monitoring, environmental analysis, and system optimization.
  3. Optimization Techniques:
    Research related to optimization methods that enhance the performance of neural networks and machine learning models is a core focus, including hybrid algorithms and meta-heuristic strategies.
  4. Integration of IoT and AI:
    The journal explores how artificial intelligence and neural networks can be integrated with Internet of Things (IoT) technologies for smarter systems, particularly in agriculture, healthcare, and environmental monitoring.
  5. Deep Learning Innovations:
    There is a strong emphasis on advancements in deep learning architectures and techniques, particularly those that address complex challenges in image processing, classification, and prediction.
The journal is witnessing a surge in specific themes that reflect current technological advancements and research interests in the intersection of neural computation and network systems.
  1. Hybrid Deep Learning Models:
    The use of hybrid models that combine deep learning with optimization techniques is on the rise, allowing for enhanced performance in tasks like disease detection and data classification.
  2. Cognitive Radio and Communication Networks:
    There is an emerging focus on applying neural network methods to cognitive radio systems and communication networks, addressing challenges in spectrum management and data transmission.
  3. Health Informatics and Predictive Modeling:
    Research in health informatics, particularly predictive modeling for disease diagnosis using advanced imaging and patient data, is increasingly prominent, reflecting a growing interest in leveraging AI for healthcare.
  4. Cybersecurity Applications:
    The application of neural networks and machine learning for cybersecurity, including intrusion detection systems and secure communication protocols, is gaining momentum, driven by the need for enhanced security in digital infrastructures.
  5. IoT-Enabled Smart Systems:
    The integration of IoT with neural computation for smart systems in agriculture, health monitoring, and environmental management is becoming a significant area of exploration, showcasing the journal's commitment to contemporary issues.

Declining or Waning

As the field evolves, certain themes within the journal's scope appear to be losing prominence. This decline reflects changes in research focus and emerging technologies.
  1. Traditional Statistical Methods:
    The reliance on traditional statistical methods for data analysis is diminishing as researchers increasingly adopt advanced machine learning and deep learning techniques that offer more robust solutions.
  2. Basic Neural Network Models:
    Research that focuses solely on basic neural network architectures is becoming less common, with a shift towards more complex and hybrid models that incorporate various optimization strategies.
  3. Single-Domain Applications:
    There is a noticeable reduction in studies that apply neural networks to single-domain problems, as interdisciplinary approaches that merge different fields are gaining traction.

Similar Journals

International Journal of Neural Systems

Fostering Collaboration in the Evolving Field of Neural Research
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0129-0657Frequency: 10 issues/year

The International Journal of Neural Systems, published by World Scientific Publishing Co Pte Ltd, is a prestigious peer-reviewed journal dedicated to the dynamic field of neural systems research. With an ISSN of 0129-0657 and an E-ISSN of 1793-6462, this journal serves as a vital resource for researchers, professionals, and students interested in the intersections of computer science, neural networks, and communications. Noteworthy for its impact, the journal has achieved impressive rankings in 2023, positioned in the Q1 quartile for both Computer Networks and Communications as well as in the miscellaneous category of Medicine, highlighting its interdisciplinary significance and broad relevance. The journal's Scopus rank places it at #33 out of 395 in its category, reflecting its influence and reach within the academic community. While the journal is not open access, its contributions to advancing the understanding of neural systems are invaluable, offering a platform for disseminating cutting-edge research and fostering collaboration among scholars. Since its inception, the International Journal of Neural Systems remains committed to excellence and innovation in its published content, making it an essential subscription for everyone involved in this exciting and rapidly evolving field.

International Arab Journal of Information Technology

Empowering Research, Shaping the Future of IT
Publisher: ZARKA PRIVATE UNIVISSN: 1683-3198Frequency: 6 issues/year

Welcome to the International Arab Journal of Information Technology, a prestigious publication under the aegis of ZARKA PRIVATE UNIVERSITY in Jordan, dedicated to advancing the field of Information Technology. First established in 2008, this journal has made significant strides in disseminating high-quality research, achieving an impressive Q2 ranking in Computer Science (miscellaneous) and securing a notable 57th percentile position in the Scopus rankings. With a comprehensive scope encompassing various sub-disciplines of computer science, the journal is committed to promoting scholarly dialogue and innovation among researchers, professionals, and students. While currently operating as a subscription-only journal, it remains a vital resource for the academic community seeking to explore the latest trends and advancements in technology. The International Arab Journal of Information Technology is not only a platform for original research but also a vibrant hub for ideas that shape the technological landscape of the Arab region and beyond.

NEURAL NETWORKS

Illuminating Pathways in Neural Science and AI
Publisher: PERGAMON-ELSEVIER SCIENCE LTDISSN: 0893-6080Frequency: 10 issues/year

NEURAL NETWORKS, an esteemed journal with the ISSN 0893-6080 and E-ISSN 1879-2782, is published by Pergamon-Elsevier Science Ltd in the United Kingdom. This influential journal, established in 1988 and continuing its publication through 2024, is recognized for its significant contributions to the fields of Artificial Intelligence and Cognitive Neuroscience, ranking in the Q1 category in both disciplines as of 2023. With a strong Scopus rank of #4/115 in Cognitive Neuroscience and #35/350 in Artificial Intelligence, and a commendable percentile of 96th and 90th respectively, NEURAL NETWORKS stands at the forefront of academic research. Researchers, professionals, and students can benefit from the journal's rigorous peer-review process and the dissemination of groundbreaking findings that shape understanding in artificial intelligence methodologies and their cognitive applications. While the journal currently operates under traditional access options, it serves as a vital resource in fostering innovations and cross-disciplinary collaboration.

Progress in Artificial Intelligence

Advancing the Frontiers of AI Research
Publisher: SPRINGERNATUREISSN: 2192-6352Frequency: 4 issues/year

Progress in Artificial Intelligence is a leading journal published by SpringerNature, dedicated to advancing knowledge and research in the field of artificial intelligence. With a strong emphasis on the latest developments from 2012 through 2024, this journal enjoys a prominent position, holding a Q2 ranking in the prestigious Artificial Intelligence category for 2023, as well as achieving an impressive ranking of 64 out of 350 in the Computer Science - Artificial Intelligence category on Scopus, placing it in the 81st percentile. Progress in Artificial Intelligence serves as an essential platform for researchers, professionals, and students seeking to share innovative algorithms, applications, and theoretical advancements. Although it operates under a subscription model, its commitment to disseminating high-quality research and fostering collaboration in the AI community significantly contributes to the ongoing evolution of this exciting discipline.

Transactions of the Association for Computational Linguistics

Catalyzing Progress in Computational Language Studies
Publisher: MIT PRESSISSN: Frequency: 1 issue/year

Transactions of the Association for Computational Linguistics, published by MIT Press, serves as a premier open access journal dedicated to advancing the field of computational linguistics. Established as a key resource since 2013, this journal enhances the dissemination of research, offering unlimited access to groundbreaking studies. It holds an impressive array of category quartiles in 2023, ranking in the Q1 quartile across multiple disciplines including Artificial Intelligence, Communication, Computer Science Applications, Human-Computer Interaction, and Linguistics and Language. Further emphasizing its remarkable impact, the journal ranks #1 in both Linguistics and Communication, placing it at the forefront of social sciences. These factors contribute to an overall Scopus percentile ranking that epitomizes the journal's relevance and superiority within its domain. As researchers, professionals, and students seek to explore and contribute to the rapidly evolving landscape of language technology, this journal stands as an indispensable platform for sharing innovative ideas and studies within the community.

NEURAL COMPUTATION

Connecting neural science with computational breakthroughs.
Publisher: MIT PRESSISSN: 0899-7667Frequency: 12 issues/year

NEURAL COMPUTATION, published by MIT PRESS, is a leading academic journal that focuses on the interdisciplinary field of neural computing, combining insights from artificial intelligence, cognitive neuroscience, and computational modeling. With an impressive impact factor and consistently high rankings—being positioned in the Q1 category of Arts and Humanities and Q2 in Cognitive Neuroscience—this journal serves as a vital resource for researchers and professionals interested in understanding the complex interactions between neural processes and computational systems. Founded in 1995 and continuing through its converged years until 2024, NEURAL COMPUTATION publishes cutting-edge articles that advance theoretical knowledge and practical applications in both fields. While it does not provide open access, the journal ensures rigorous peer-review processes, making it an essential platform for disseminating significant research findings. With its commitment to fostering innovation and understanding at the intersection of neuroscience and computation, NEURAL COMPUTATION stands out as a cornerstone for academic exploration and discovery.

APPLIED INTELLIGENCE

Empowering the future with cutting-edge AI advancements.
Publisher: SPRINGERISSN: 0924-669XFrequency: 12 issues/year

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

Open Computer Science

Connecting ideas, researchers, and breakthroughs in computer science.
Publisher: DE GRUYTER POLAND SP Z O OISSN: 2299-1093Frequency: 1 issue/year

Open Computer Science is a premier scholarly journal published by DE GRUYTER POLAND SP Z O O, dedicated to fostering innovative research and discussions in the rapidly evolving field of computer science. With an impact factor that places it in Q2 of the computer science (miscellaneous) category, as well as a commendable Scopus ranking of #80 out of 232 and a 65th percentile standing, this journal serves as a critical resource for researchers, professionals, and students alike. Since its inception in 2011 and having embraced the open access model, Open Computer Science promotes the dissemination of knowledge across a global audience, ensuring that cutting-edge research is accessible to all. By covering a broad range of topics within the realm of computer science, this journal is committed to advancing the discipline’s theoretical and practical boundaries. The journal is published in Germany and features robust editorial standards, ensuring the inclusion of high-quality, peer-reviewed articles that contribute significantly to the field.

AI

Fostering Collaboration in the AI Community
Publisher: MDPIISSN: Frequency: 4 issues/year

AI, published by MDPI, is a distinguished open access journal dedicated to advancing the field of artificial intelligence. Since its inception in 2020, the journal has swiftly established itself as a prominent platform for scholarly research, currently ranking in the Q2 category for 2023 within the artificial intelligence sector according to Scopus. With an impressive global reach from its base in Basel, Switzerland, the journal aims to foster innovation and collaboration among researchers, professionals, and students alike, providing a forum to share groundbreaking findings and applications in AI. The journal's commitment to accessibility ensures that research is available to a wide audience, enhancing knowledge dissemination and contributing significantly to the ongoing evolution of artificial intelligence technologies. To explore the latest in AI research, readers can access articles through their open access model, encouraging an inclusive academic environment.

JOURNAL OF MATHEMATICAL IMAGING AND VISION

Exploring the Intersection of Mathematics and Visual Perception
Publisher: SPRINGERISSN: 0924-9907Frequency: 9 issues/year

JOURNAL OF MATHEMATICAL IMAGING AND VISION, published by Springer, stands as a significant platform for advancing the fields of applied mathematics, computer vision, and pattern recognition, among others. With an ISSN of 0924-9907 and an E-ISSN of 1573-7683, this esteemed journal is based in the Netherlands and has been contributing to the scholarly discourse since its inception in 1992, with a converged focus through 2024. It has achieved reputable standings within several quartiles, including Q2 rankings across applied mathematics, geometry and topology, and condensed matter physics, reflecting its impact and relevance. Notably, the journal ranks within the top 5% in Geometry and Topology and maintains robust standings in Statistics and Probability. The JOURNAL OF MATHEMATICAL IMAGING AND VISION is dedicated to publishing high-quality research that bridges theoretical perspectives with practical applications, making it an essential resource for researchers, professionals, and students who are exploring the cutting-edge of mathematical imaging and its interdisciplinary applications.