Hans Lamecker
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 5%
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computational Mechanics top 5%
- Co-authors
- Stefan ZachowHans‐Christian HegeThomas LangeMartin SeebaßDagmar KainmüllerDagmar KainmuellerHeiko SeimPeter Deuflhard
- Topics
- Medical Image Segmentation Techniques (21 papers)3D Shape Modeling and Analysis (14 papers)Medical Imaging and Analysis (13 papers)
In The Last Decade
Hans Lamecker
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 522
- Biomedical Engineering 486
- Surgery 301
- Radiology, Nuclear Medicine and Imaging 271
- Computational Mechanics 160
Countries citing papers authored by Hans Lamecker
This map shows the geographic impact of Hans Lamecker'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 Hans Lamecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Lamecker more than expected).
Fields of papers citing papers by Hans Lamecker
This network shows the impact of papers produced by Hans Lamecker. 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 Hans Lamecker. The network helps show where Hans Lamecker may publish in the future.
Co-authorship network of co-authors of Hans Lamecker
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Lamecker. A scholar is included among the top collaborators of Hans Lamecker 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 Hans Lamecker. Hans Lamecker 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 | 42 | |
| 3 | 8 | |
| 4 | 66 | |
| 5 | 5 | |
| 6 | 30 | |
| 7 | Visual Support for Positioning Hearing Implants | 2 |
| 8 | 43 | |
| 9 | 16 | |
| 10 | 13 | |
| 11 | Robust and Intuitive Meshing of Bone-Implant Compounds | 1 |
| 12 | 42 | |
| 13 | 49 | |
| 14 | 44 | |
| 15 | 83 | |
| 16 | Shape Constrained Automatic Segmentation of the Liver based on a Heuristic Intensity Model | 120 |
| 17 | Three-dimensional statistical shape analysis - A useful tool for developing a new type of orbital implant? | 4 |
| 18 | 26 | |
| 19 | 0 | |
| 20 | 10 |
About Hans Lamecker
Hans Lamecker is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Otorhinolaryngology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (21 papers), 3D Shape Modeling and Analysis (14 papers) and Medical Imaging and Analysis (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (522 citations), Oral Surgery (145 citations) and Radiology, Nuclear Medicine and Imaging (271 citations). Hans Lamecker has collaborated with scholars based in Germany, France and Finland. Frequent co-authors include Stefan Zachow, Hans‐Christian Hege, Thomas Lange, Martin Seebaß, Dagmar Kainmüller, Dagmar Kainmueller, Heiko Seim, Peter Deuflhard, Christoph von Tycowicz and Heiko Ramm. Their work appears in journals such as Scientific Reports, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.
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.