Dagmar Kainmüller
About
In The Last Decade
Dagmar Kainmüller
8 papers receiving 295 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 170
- Biomedical Engineering 88
- Radiology, Nuclear Medicine and Imaging 71
- Artificial Intelligence 70
- Cell Biology 29
Countries citing papers authored by Dagmar Kainmüller
This map shows the geographic impact of Dagmar Kainmüller'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 Dagmar Kainmüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Kainmüller more than expected).
Fields of papers citing papers by Dagmar Kainmüller
This network shows the impact of papers produced by Dagmar Kainmüller. 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 Dagmar Kainmüller. The network helps show where Dagmar Kainmüller may publish in the future.
Co-authorship network of co-authors of Dagmar Kainmüller
This figure shows the co-authorship network connecting the top 25 collaborators of Dagmar Kainmüller. A scholar is included among the top collaborators of Dagmar Kainmüller 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 Dagmar Kainmüller. Dagmar Kainmüller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 54 | |
| 3 | 26 | |
| 4 | Deformable Meshes for Accurate Automatic Segmentation of Medical Image Data | 1 |
| 5 | 42 | |
| 6 | 44 | |
| 7 | 3 | |
| 8 | Shape Constrained Automatic Segmentation of the Liver based on a Heuristic Intensity Model | 120 |
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.