About the Journal

The Journal of Digital Twin Technologies is a peer-reviewed, open-access journal published by Harrison Academic Press (HAP). It covers virtual models that stay connected to real assets, processes and systems, and the decisions they support.

We publish modelling methods, platform design and case studies across industry, cities and healthcare.

Aim & Scope

• Digital twin architectures and platforms
• Modelling and simulation
• IoT and sensor data integration
• Digital twins in manufacturing
• Smart cities and infrastructure
• Digital twins in healthcare
• Predictive maintenance
• Data standards and interoperability

Journal Information

• Title: Journal of Digital Twin Technologies (JDTT)
• Publisher: Harrison Academic Press (HAP), 24 Example View Drive, Kingston 5, St. Andrew, Jamaica
• Frequency: Two issues per year (January–June and July–December)
• Peer review: Double-blind, by at least two independent reviewers
• Licence: CC BY 4.0; authors keep their copyright
• Article Processing Charges: see APC rates and waivers
• Indexing: Google Scholar
• Language: English
• Contact: editor@harrisonacademicpress.com