According to data aggregated by LetPub, the journal maintains a strong reputation in the academic community.
The journal is a preferred choice for those looking to maximize the "scholarly impact" of their applied AI research. Journal Seeker neural computing and applications letpub
: It is consistently ranked as a Q1 journal in both Artificial Intelligence and Software categories. According to data aggregated by LetPub, the journal
: The journal prioritizes articles on adaptive computing, genetic algorithms, fuzzy logic, and hybrid intelligent systems. According to data aggregated by LetPub
: Peer review typically takes around 3.5 months for the first round.
: Unlike purely theoretical journals, it emphasizes "applicable" theory and case histories of innovative applications in fields like intelligent forecasting and diagnostics. 2. Key Performance Metrics (via LetPub & JCR)