Marcel Beetz
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Medical Image Segmentation Techniques
Papers in
-
- 3D Shape Modeling and Analysis 14
-
- Cardiac Imaging and Diagnostics 10
- COVID-19 diagnosis using AI 1
- Co-authors
- Vicente Grau (24 shared papers)Abhirup Banerjee (23 shared papers)Lei Li (4 shared papers)Julià Camps (4 shared papers)Blanca Rodríguez (4 shared papers)Zhinuo Jenny Wang (2 shared papers)Jorge Corral Acero (4 shared papers)Pablo Lamata (3 shared papers)
- Journals
- Medical Image Analysis (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Lecture notes in computer science (10 papers)Computerized Medical Imaging and Graphics (1 paper)Frontiers in Physiology (1 paper)
- Partner nations
- United KingdomGermanyChina
In The Last Decade
Marcel Beetz
23 papers receiving 1.1k citations
Marcel Beetz's Hit Papers
Peers
Comparison fields: 5 of 46
- Health Informatics 81
- Computer Vision and Pattern Recognition 732
- Health Information Management 62
- Artificial Intelligence 225
- Radiology, Nuclear Medicine and Imaging 135
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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Liver Tumor Segmentation Benchmark (LiTS) Hit paper breakdown → | 2022 | 797 |
| 2 | 2023 | 54 | |
| 3 | 2022 | 30 | |
| 4 | 2024 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2025 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 4 |
About Marcel Beetz
Marcel Beetz is a scholar working on Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Health Information Management, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (14 papers), Cardiac Imaging and Diagnostics (10 papers), ECG Monitoring and Analysis (7 papers), Medical Image Segmentation Techniques (7 papers), Artificial Intelligence in Healthcare (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Cardiac Arrhythmias and Treatments (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (81 citations), Computer Vision and Pattern Recognition (732 citations), Health Information Management (62 citations), Artificial Intelligence (225 citations) and Radiology, Nuclear Medicine and Imaging (135 citations). Marcel Beetz has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Vicente Grau, Abhirup Banerjee, Lei Li, Julià Camps, Blanca Rodríguez, Zhinuo Jenny Wang, Jorge Corral Acero, Pablo Lamata, Ernesto Zacur and Ruben Evertz. Their work appears in journals such as Medical Image Analysis, IEEE Journal of Biomedical and Health Informatics, Lecture notes in computer science, Computerized Medical Imaging and Graphics and Frontiers in Physiology.
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.