Data-Centric Engineering is an open access journal that publishes high-quality research on the engineering of data-intensive systems and applications. It covers a broad range of topics, including data management, data mining, machine learning, artificial intelligence, and their applications in various engineering domains. The journal aims to foster interdisciplinary collaboration and advance the state-of-the-art in data-centric engineering.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Applied MathematicsComputer Science ApplicationsEngineering (miscellaneous)Statistics and Probability
Research Topics (OpenAlex)
Model Reduction and Neural NetworksProbabilistic and Robust Engineering DesignStructural Health Monitoring TechniquesInfrastructure Maintenance and MonitoringAdvanced Multi-Objective Optimization AlgorithmsGaussian Processes and Bayesian InferenceMachine Learning in Materials ScienceFluid Dynamics and Turbulent FlowsFault Detection and Control SystemsBuilding Energy and Comfort Optimization