Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization

5.4k citations
703 papers · indexed · active since 1950
Topics
AI in cancer detectionMedical Image Segmentation TechniquesRadiomics and Machine Learning in Medical Imaging

In The Last Decade

Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization

639 papers receiving 5.2k citations

Peers

Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
Comparison fields: 5 of 186
  • Computer Vision and Pattern Recognition 1.7k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Artificial Intelligence 1.3k
  • Biomedical Engineering 1.0k
  • Surgery 721
Replace IEEE Journal of Translational Engineering in Health and Medicine with:
IEEE Journal of Translational Engineering in Health and Medicine United States
IRBM France
Biomedical Engineering Letters South Korea
Evolutionary Intelligence India
Cognitive Systems Research United States
International Journal of Biomedical Imaging United States
Australasian Physical & Engineering Sciences in Medicine Australia
Physical and Engineering Sciences in Medicine Australia
Data United States
Egyptian Informatics Journal Egypt
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization relative to IEEE Journal of Translational Engineering in Health and Medicine United States IEEE Journal of Translational Engineering in Health and Medicine's profile →
Citations per field
00.5×1.5×
IEEE Journal of Translational Engineering in Health and Medicine · 1×
Citations per year

Countries where authors publish in Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization

Since Specialization
Citations

This map shows the geographic impact of research published in Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization more than expected).

Fields of papers published in Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization.

About Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization

The 703 papers published in Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization in the last decades have received a total of 5.4k indexed citations . Papers published in Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization usually cover Computer Vision and Pattern Recognition (269 papers), Radiology, Nuclear Medicine and Imaging (206 papers) and Neurology (62 papers) specifically the topics of AI in cancer detection (105 papers), Medical Image Segmentation Techniques (80 papers) and Radiomics and Machine Learning in Medical Imaging (62 papers). The most active scholars publishing in Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization are Weidi Xie, Andrew Zisserman, J. Alison Noble, Xi Cheng, Yefeng Zheng, Li Zhang, Siqi Bao, Albert C. S. Chung, Sarada Prasad Dakua and Zeina Al Masry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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