Data-Centric Engineering
Last updated ISSN 2632-6736
Data-Centric Engineering is published by Cambridge University Press in physics and astronomy. It is open access. The article processing charge is $3,550.
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What it publishes
Recent work in Data-Centric Engineering concentrates on these topics, taken from its published record rather than from its own description:
- Model Reduction and Neural Networks
- Probabilistic and Robust Engineering Design
- Structural Health Monitoring Techniques
- Infrastructure Maintenance and Monitoring
- Advanced Multi-Objective Optimization Algorithms
- Fluid Dynamics and Turbulent Flows
- Machine Learning in Materials Science
- Gaussian Processes and Bayesian Inference
- Digital Transformation in Industry
- Fault Detection and Control Systems
Key facts
| Publisher | Cambridge University Press |
|---|---|
| ISSN | 2632-6736 |
| Subject area | Physics and Astronomy |
| Access | Open access |
| Article processing charge | $3,550 |
| Indexed in | Scopus · DOAJ |
| Articles published | 252 |
| Publishing since | 2020 |
| Journal website | www.cambridge.org/core/journals/data-centric-enginee |
Facts come from OpenAlex, DOAJ and Wikidata and may lag the journal’s own pages. Check the publisher’s site before submitting. Indexing shown here is what is recorded, not a complete picture — about a third of journals have no indexing recorded anywhere we can read, so “not recorded” does not mean a journal is absent from Scopus or Web of Science.
Journals like Data-Centric Engineering
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