Neural Computing And Applications Letpub |best|

Decisions are communicated by the Editor-in-Chief, Professor John MacIntyre, who is the final authority on acceptance or rejection.

Approximately 11.7 (2025 data), placing it in the top 10%–13% of journals in its field.

Users on LetPub report an average acceptance rate of around 50% , though internal editorial standards remain rigorous.

Choosing the right journal for your research in artificial intelligence and machine learning is a critical decision. , published by Springer, stands as one of the most prominent peer-reviewed journals in the field. For authors evaluating this journal, LetPub serves as a vital analytics platform, providing user-reported data on acceptance rates, review speeds, and submission experiences.

Neural Computing and Applications is an international journal that publishes original research and review articles on all aspects of neural computing and its applications. Launched in 1993, the journal has grown alongside the deep learning revolution. It covers: neural computing and applications letpub

: Typically ranked in Q1 or Q2 in the categories of Computer Science, Artificial Intelligence and Computer Science, Interdisciplinary Applications .

Do not submit your best work to Neural Computing and Applications in 2026 without a thorough investigation. Use LetPub as your primary intelligence tool: check the user comments weekly for any news on the “On Hold” status, use the real-time metrics to benchmark it against other Q1 journals, and seriously consider using LetPub’s recommendation engine to identify a safer, more stable alternative.

Navigating the academic publishing landscape requires strategic planning, precision, and reliable data. For researchers in artificial intelligence, machine learning, and neural networks, the journal , published by Springer, represents a premier venue for disseminating high-impact work.

is a premier, peer-reviewed international journal published by Springer Nature that isolates the bridge between theoretical neural network algorithms and real-world industrial engineering. For global researchers navigating complex submission timelines, the LetPub Journal Indexing and Analytics Platform serves as an essential repository for tracking its real-time metrics, peer review speeds, and acceptance behaviors. This comprehensive guide provides a deep-dive analysis of NCAA’s core academic profile, key metrics pulled from LetPub analytics, its multi-disciplinary scope, and an actionable roadmap to maximize your acceptance probability. Core Journal Metrics at a Glance Choosing the right journal for your research in

Are you looking to evaluate this journal for a you have already written?

Neural Computing and Applications (NCAA), published by Springer, is a Q1-ranked journal focusing on practical neural computing applications with a reported 2025 impact factor of approximately 4.7 . According to

AI deployment in manufacturing, robotics, and automation.

Mastering the Neural Computing and Applications Submission Process: A LetPub Guide 📈 Strategic Submission Insights for Authors

| Metric | Value | |--------|-------| | | Springer London | | ISSN | 0941-0643 (print), 1433-3058 (electronic) | | 2023 Impact Factor | 5.6 (approx., check LetPub for real-time update) | | 5-Year Impact Factor | 5.2 | | CiteScore | 9.1 | | Review Speed (User-reported) | 4–6 months (first decision) | | Acceptance Rate | ~25% (highly competitive) | | Open Access Option | Yes (Hybrid) | | APC for OA | $3,190 (as of 2025) | | Frequency | Monthly (12 issues/year) |

The journal prioritizes submissions that bridge the gap between theoretical complex systems and tangible, real-world utility. 📊 Key Metrics Analysis via LetPub

The duration from initial submission to final online publication generally ranges from 6 to 10 months, heavily dependent on the extent of required revisions. 📈 Strategic Submission Insights for Authors