Marius Erdt
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Wenting DaiAlexei SourinAbdul MujeebStefan WesargMatthias KirschnerKlaus DrechslerKonstantinos KafchitsasM. Fawad Khan
- Topics
- Medical Image Segmentation Techniques (17 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)3D Modeling in Geospatial Applications (7 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Journal of Biomedical and Health InformaticsAdvanced Engineering InformaticsLecture notes in computer science
- Partner nations
- SingaporeGermanyUnited States
In The Last Decade
Marius Erdt
48 papers receiving 621 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 258
- Industrial and Manufacturing Engineering 225
- Radiology, Nuclear Medicine and Imaging 130
- Biomedical Engineering 102
- Artificial Intelligence 96
Countries citing papers authored by Marius Erdt
This map shows the geographic impact of Marius Erdt'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 Marius Erdt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Erdt more than expected).
Fields of papers citing papers by Marius Erdt
This network shows the impact of papers produced by Marius Erdt. 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 Marius Erdt. The network helps show where Marius Erdt may publish in the future.
Co-authorship network of co-authors of Marius Erdt
This figure shows the co-authorship network connecting the top 25 collaborators of Marius Erdt. A scholar is included among the top collaborators of Marius Erdt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marius Erdt. Marius Erdt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 73 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 0 | |
| 12 | 24 | |
| 13 | 51 | |
| 14 | 2 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 12 | |
| 20 | Fuzzy pulmonary vessel segmentation using optimized vessel enhancement filtering | 1 |
About Marius Erdt
Marius Erdt is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 52 papers that have together received 638 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and 3D Modeling in Geospatial Applications (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (225 citations), Computer Vision and Pattern Recognition (258 citations) and Radiology, Nuclear Medicine and Imaging (130 citations). Marius Erdt has collaborated with scholars based in Singapore, Germany and United States. Frequent co-authors include Wenting Dai, Alexei Sourin, Abdul Mujeeb, Stefan Wesarg, Matthias Kirschner, Klaus Drechsler, Konstantinos Kafchitsas, M. Fawad Khan, Georgios Sakas and Ihar Volkau. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Advanced Engineering Informatics and Lecture notes in computer science.
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.