Aims and Scope of Neurocomputing
Neurocomputing publishes articles in the field of Artificial Intelligence, Machine Learning, Neural Computation. The journal is published by Elsevier. It is abstracted and indexed in Scopus and Science Citation Index. According to the Journal Citation Reports, its 2020 impact factor is 5.719. The paper is also ranked in the Q1 ranking for Artificial Intelligence and Computer Science Applications in SJR "Scientific Journal Ranking". and ranked Q1 in Computer Science and Artificial Intelligence in JCR (Thomson Reuters). Less
Key Metrics
CiteScore 

10.3
Eigenfactor 

0.05 - 0.1
Impact Factor 

5 - 10
SJR 

Q1Cognitive Neuroscience

SNIP 

1.85
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Neurocomputing Journal Specifications
Indexed in the following public directories
Web of Science
Scopus
Inspec
SJR
| Overview | |
| Publisher | ELSEVIER |
| Language | English |
| Frequency | Semi-monthly |
| General Details | |
| Language | English |
| Frequency | Semi-monthly |
| Publication Start Year | 1988 |
| Publisher URL | Visit website |
| Website URL | Visit website |
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Check my PaperRecently Published Papers in Neurocomputing
Quantifying observable privacy in differentially private generative models under black-box access
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A path-aware graph neural network for heterophily graph learning
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Neural net with CTRALNET fusion for enhancing binaural speech signals: A hybrid optimization model
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A PID-like neural network control method for a 5PUS-RPUR parallel robot considering force coupling errors
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WEITS: A wavelet-enhanced residual framework for interpretable time series forecasting
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Quantifying observable privacy in differentially private generative models under black-box access
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A path-aware graph neural network for heterophily graph learning
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PAWS-net: prior-aware weakly supervised network for pulmonary disease localization and classification in CT scans
- 1 Apr 2026
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Neural net with CTRALNET fusion for enhancing binaural speech signals: A hybrid optimization model
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A PID-like neural network control method for a 5PUS-RPUR parallel robot considering force coupling errors
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WEITS: A wavelet-enhanced residual framework for interpretable time series forecasting
- 1 Apr 2026
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