The primary aim of Computer Methods in Biomechanics and Biomedical Engineering (CMBBE) is to provide a means of communicating the advances being made in the area of computational biomechanics and biomedical engineering with the emphasis being placed on biomechanics.
High quality research articles form the main body of the journal. These papers will focus on state-of-the-art computational aspects of biomechanics and simulation in both engineering and clinical scenarios. Accepted submissions will be of high scientific value in providing a significant contribution and impact on computational biomechanics. They should also expand upon novel and innovative research where the methods, analysis and conclusions are robust and of the highest standard.
CMBBE also encourages rapid innovative communications of 1,500 words. These would feature novel and innovative approaches within the field of computational biomechanics providing the journal with a forum of cutting edge content which will significantly impact the area. We aim to review such submissions within a shorter time frame than full research articles.
Topics covered include the computational aspects of:
- Mechanics of biological tissue, organ systems and biomaterials
- Material identification and inverse problems
- Human body movement, motion analysis and impact
- Cell mechanics, mechanotransduction, and computational mechanobiology
- Computer assisted surgery and simulation
- Biofluids and hemodynamics
- Modelling, design and assessment of medical devices and implants
- Application of imaging in biomechanics
- Joint and ligament mechanics
- Multiscale and multiphysics modelling
All papers are subject to the peer review process, including rapid innovative communications.
Taylor & Francis make every effort to ensure the accuracy of all the information (the “Content”) contained in our publications. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. Terms & Conditions of access and use can be found at
Read the Instructions for Authors for information on how to submit your article.
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Publishes articles on biomedical data imaging and visualization, including application, computational bio-imaging and Computer-Aided Diagnosis.