Marcel Beetz
Impact in
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- Artificial Intelligence in Healthcare and Education
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- ECG Monitoring and Analysis
- Cardiovascular Function and Risk Factors
Papers in
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- ECG Monitoring and Analysis 5
- Cardiovascular Function and Risk Factors 4
- Cardiac electrophysiology and arrhythmias 1
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- Radiomics and Machine Learning in Medical Imaging 2
- Advanced Neuroimaging Techniques and Applications 1
- Medical Imaging Techniques and Applications 1
- Co-authors
- Vicente Grau (13 shared papers)Abhirup Banerjee (12 shared papers)Lei Li (3 shared papers)Blanca Rodríguez (3 shared papers)Julià Camps (2 shared papers)Zhinuo Jenny Wang (1 shared paper)Torben Lange (1 shared paper)Ruben Evertz (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)IEEE Transactions on Big Data (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Frontiers in Physiology (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- United KingdomGermany
In The Last Decade
Marcel Beetz
11 papers receiving 96 citations
Peers
Comparison fields: 5 of 26
- Health Informatics 8
- Cardiology and Cardiovascular Medicine 46
- Radiology, Nuclear Medicine and Imaging 43
- Computational Mechanics 32
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Marcel Beetz
This map shows the geographic impact of Marcel Beetz's research. 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 Marcel Beetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Beetz more than expected).
Fields of papers citing papers by Marcel Beetz
This network shows the impact of papers produced by Marcel Beetz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcel Beetz. The network helps show where Marcel Beetz may publish in the future.
Co-authors
The 21 scholars most cited alongside Marcel Beetz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 18 | |
| 2 | 2022 | 15 | |
| 3 | 2021 | 12 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 8 | |
| 8 | 2024 | 5 | |
| 9 | 2025 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 |
About Marcel Beetz
Marcel Beetz is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 97 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), ECG Monitoring and Analysis (5 papers), Medical Image Segmentation Techniques (4 papers), Cardiovascular Function and Risk Factors (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (8 citations), Cardiology and Cardiovascular Medicine (46 citations), Radiology, Nuclear Medicine and Imaging (43 citations), Computational Mechanics (32 citations) and Computer Vision and Pattern Recognition (25 citations). Marcel Beetz has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Vicente Grau, Abhirup Banerjee, Lei Li, Blanca Rodríguez, Julià Camps, Zhinuo Jenny Wang, Torben Lange, Ruben Evertz, Sören J. Backhaus and Yilong Yang. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Big Data, IEEE Journal of Biomedical and Health Informatics, Frontiers in Physiology and Medical Image Analysis.
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.