Cite Score and Journal Rank of Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization

About:

The Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization is a peer-reviewed journal that focuses on the application of computational methods to imaging and visualization in the fields of biomechanics and biomedical engineering. It provides a platform for publishing high-quality research articles, reviews, and case studies that advance the use of computational techniques for analyzing and interpreting biomedical images and data.

Objective:

The primary objective of the journal is to advance the integration of computational methods with imaging and visualization techniques to improve the understanding and analysis of biomechanical and biomedical data. It aims to facilitate the dissemination of research that addresses challenges and innovations in computational imaging, visualization, and their applications in biomechanics and biomedical engineering.

Topics Covered:

The Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization covers a wide range of topics including: Computational techniques for medical imaging Image processing and analysis in biomechanics and biomedical engineering 3D imaging and visualization of biological structures Modeling and simulation of biomechanical systems Advanced imaging modalities (e.g., MRI, CT, ultrasound) and their applications Integration of imaging data with computational models Development of software tools and algorithms for imaging and visualization Applications of imaging and visualization in clinical and research settings

Impact:

The journal significantly impacts both academia and clinical practice by promoting research that enhances the use of computational methods in imaging and visualization. Its publications contribute to the development of more effective tools and techniques for analyzing biomedical data, leading to improved diagnostics, treatment planning, and understanding of biomechanical systems.

Significance:

The Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization journal is significant in advancing the field of computational imaging and visualization by providing a forum for high-quality, peer-reviewed research. By focusing on the integration of computational methods with imaging techniques, the journal supports the development of innovative approaches and applications that drive progress in biomechanics and biomedical engineering.

Journal Home:  Journal Homepage

Editor-in-Chief:  João Manuel R. S. Tavares

scope: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization is a journal that focuses on the application of computational techniques to the imaging and visualization aspects of biomechanics and biomedical engineering. It covers a range of topics related to how computer methods can enhance the analysis, interpretation, and visualization of biomedical data. Here are the key areas typically covered in this journal:

1. Computational Imaging Techniques

Research on advanced computational methods for biomedical imaging
Studies on image processing, reconstruction, and enhancement techniques
Development of new algorithms and tools for improving imaging quality and accuracy

2. Visualization Methods

Research on visualization techniques for biomedical data, including 3D modeling and rendering
Studies on interactive visualization tools and methods for analyzing complex biomedical information
Development of visualization frameworks for integrating and interpreting multimodal imaging data

3. Biomechanical Modeling and Simulation

Research on computational models of biomechanical systems, including musculoskeletal models and tissue simulations
Studies on the application of simulation techniques to understand biomechanical behavior and interactions
Development of methods for coupling imaging data with biomechanical models for enhanced analysis

4. Medical Image Analysis

Research on techniques for analyzing medical images, including segmentation, feature extraction, and classification
Studies on the application of machine learning and artificial intelligence to medical image analysis
Development of automated and semi-automated tools for extracting information from medical images

5. Integration of Imaging and Computational Methods

Research on integrating imaging data with computational models and simulations
Studies on the use of imaging data to inform and validate computational methods and models
Development of frameworks for seamless integration of imaging and computational approaches

6. Quantitative Analysis and Metrics

Research on quantitative methods for analyzing biomedical images and simulations
Studies on the development of metrics and standards for evaluating imaging and visualization techniques
Development of tools and methods for quantitative assessment of biomechanical and biomedical data

7. Clinical Applications

Research on the application of imaging and visualization techniques in clinical settings
Studies on the use of computational methods for diagnosis, treatment planning, and surgical navigation
Development of clinical tools and applications that leverage imaging and computational methods

8. Emerging Technologies

Research on emerging technologies in imaging and visualization for biomechanics and biomedical engineering
Studies on the impact of new imaging modalities, such as functional imaging and molecular imaging
Development of innovative methods and tools that incorporate cutting-edge technologies

9. Data Management and Analysis

Research on data management techniques for handling large volumes of imaging and simulation data
Studies on methods for data storage, retrieval, and analysis in the context of biomedical research
Development of data management frameworks and tools for biomedical imaging and computational studies

10. Multidisciplinary Approaches

Research on interdisciplinary approaches that combine biomechanics, biomedical engineering, imaging, and computational methods
Studies on collaborative efforts and integration of expertise from different fields
Development of cross-disciplinary solutions and methodologies for advancing biomedical imaging and visualization

Print ISSN:  21681163,

Electronic ISSN:  21681171

Abstracting and Indexing:  Scopus

Imapct Factor 2023:  1.6

Subject Area and Category:   Computer Science, Computer Science Applications, Engineering, Biomedical Engineering, Computational Mechanics, Medicine, Radiology, Nuclear Medicine and Imaging

Publication Frequency:  

H Index:  25

Best Quartile:

Q1:  

Q2:  Computational Mechanics

Q3:  

Q4:  

Cite Score:  2.8

SNIP:  0.677

Journal Rank(SJR):  0.486

Latest Articles:   Latest Articles in Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization

Guidelines for Authors: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization Author Guidelines

Paper Submissions: Paper Submissions in Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization

Publisher:  Taylor and Francis Ltd.

Country:  United Kingdom