Moritz Ehlke
Impact in
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
Papers in
-
- Medical Image Segmentation Techniques 2
- Human Pose and Action Recognition 2
- Digital Imaging for Blood Diseases 1
- Surgery 2
- Orthopaedic implants and arthroplasty 2
- Co-authors
- Stefan Zachow (7 shared papers)Alexander Tack (2 shared papers)Felix Ambellan (2 shared papers)Heiko Ramm (3 shared papers)Hans‐Christian Hege (2 shared papers)Hans Lamecker (2 shared papers)Dmitry A. Apanaskevich (1 shared paper)Florian Fußeis (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)BMC Evolutionary Biology (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Moritz Ehlke
7 papers receiving 308 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 10
- Rheumatology 95
- Computer Vision and Pattern Recognition 79
- Radiology, Nuclear Medicine and Imaging 70
- Biomedical Engineering 107
Countries citing papers authored by Moritz Ehlke
This map shows the geographic impact of Moritz Ehlke'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 Moritz Ehlke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Ehlke more than expected).
Fields of papers citing papers by Moritz Ehlke
This network shows the impact of papers produced by Moritz Ehlke. 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 Moritz Ehlke. The network helps show where Moritz Ehlke may publish in the future.
Co-authors
The 17 scholars most cited alongside Moritz Ehlke, 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 | 2018 | 248 | |
| 2 | 2013 | 43 | |
| 3 | 2016 | 13 | |
| 4 | Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative | 2018 | 3 |
| 5 | 3D Assessment of Osteosynthesis based on 2D Radiographs | 2015 | 2 |
| 6 | Fast Generation of Virtual X-ray Images from Deformable Tetrahedral Meshes | 2013 | 2 |
| 7 | Towards Robust Measurement of Pelvic Parameters from AP Radiographs using Articulated 3D Models | 2015 | 1 |
About Moritz Ehlke
Moritz Ehlke is a scholar working on Computer Vision and Pattern Recognition, Surgery, Computational Mechanics, Rheumatology and Computer Graphics and Computer-Aided Design, having authored 7 papers that have together received 312 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (2 papers), Orthopaedic implants and arthroplasty (2 papers), Medical Image Segmentation Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Human Pose and Action Recognition (2 papers), Advanced X-ray and CT Imaging (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Health Informatics (10 citations), Rheumatology (95 citations), Computer Vision and Pattern Recognition (79 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Biomedical Engineering (107 citations). Moritz Ehlke has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Stefan Zachow, Alexander Tack, Felix Ambellan, Heiko Ramm, Hans‐Christian Hege, Hans Lamecker, Dmitry A. Apanaskevich, Florian Fußeis, René Hoffmann and Jason A. Dunlop. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, BMC Evolutionary Biology 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.