Letpub [2021] - Neural Computing And Applications
NCAA sits in the middle tier—respectable impact, reasonable speed, and less daunting than the top IEEE transactions. Should You Choose Open Access via NCAA? LetPub clearly indicates that NCAA is a hybrid journal . You can publish via the traditional subscription model (free for authors, readers pay) or pay an APC for gold open access.
For Neural Computing and Applications , the evidence is clear: a respected, mid-to-high impact journal with rigorous but fair reviewing, moderate speed, and a strong focus on applied neural computing. It is not a venue for the impatient or the purely theoretical, but for those with solid experiments and real-world validation, NCAA is an excellent home.
Before you submit, visit the LetPub page for the latest impact factor and reviewer comments. Then prepare your manuscript meticulously, emphasize your applications, and be ready for a constructive but thorough peer review. neural computing and applications letpub
For researchers in artificial intelligence, machine learning, and computational neuroscience, finding the right journal for their manuscript is a high-stakes decision. One journal that consistently appears on shortlists is Neural Computing and Applications (NCAA) , published by Springer. But before submitting, most savvy researchers turn to one indispensable resource: LetPub .
| Your Profile | Recommendation | |--------------|----------------| | PhD student needing a solid journal for graduation | Yes, if you can tolerate 6–8 months | | Postdoc applying for jobs – need high impact quickly | No – try Neurocomputing (faster) or a conference | | Industry researcher with OA funding | Yes – NCAA has good industry readership | | Pure algorithm developer (no real application) | No – consider Neural Networks or JMLR | | First-time author – need constructive reviews | Yes – NCAA reviewers are detailed but fair | The keyword “ neural computing and applications letpub ” is more than just a search term. It represents a researcher’s due diligence before entrusting months of work to a journal. LetPub demystifies the opaque peer-review process by offering real-world data from fellow scientists. You can publish via the traditional subscription model
| Stage | Duration | |-------|----------| | Technical check | 1–2 weeks | | Editor assignment | 1 week | | Reviewer invitation (often multiple rounds) | 2–3 weeks | | First decision (reviewers complete) | 3–4 months | | Author revisions | 1–2 months | | Second decision | 1 month | | Acceptance to online publication | 2–3 weeks | | | 6–8 months |
If you have searched for "Neural Computing and Applications LetPub," you are likely trying to answer critical questions: Is this journal peer-reviewed? What is its current impact factor? How long does the review process take? Is it open access? And most importantly—is it suitable for my specific research? Before you submit, visit the LetPub page for
| 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) |