Henrik Skibbe
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Biophysics top 5%
- Molecular Biology
- Cognitive Neuroscience
- Co-authors
- Marco ReisertOlaf RonnebergerThomas BroxThorsten SchmidtKun LiuThomas BleinKlaus PalmeShin Ishii
- Topics
- Medical Image Segmentation Techniques (10 papers)Advanced Neuroimaging Techniques and Applications (10 papers)Advanced MRI Techniques and Applications (7 papers)
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Henrik Skibbe
36 papers receiving 474 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 181
- Radiology, Nuclear Medicine and Imaging 72
- Biophysics 69
- Molecular Biology 68
- Cognitive Neuroscience 66
Countries citing papers authored by Henrik Skibbe
This map shows the geographic impact of Henrik Skibbe'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 Henrik Skibbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henrik Skibbe more than expected).
Fields of papers citing papers by Henrik Skibbe
This network shows the impact of papers produced by Henrik Skibbe. 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 Henrik Skibbe. The network helps show where Henrik Skibbe may publish in the future.
Co-authorship network of co-authors of Henrik Skibbe
This figure shows the co-authorship network connecting the top 25 collaborators of Henrik Skibbe. A scholar is included among the top collaborators of Henrik Skibbe 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 Henrik Skibbe. Henrik Skibbe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 102 | |
| 18 | Gaussian Neighborhood Descriptors for Brain Segmentation | 2 |
| 19 | Dense rotation invariant brain pyramids for automated human brain parcellation | 3 |
| 20 | 3 |
About Henrik Skibbe
Henrik Skibbe is a scholar working on Biophysics, Neurology and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 484 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Biophysics (69 citations), Computer Vision and Pattern Recognition (181 citations) and Media Technology (43 citations). Henrik Skibbe has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Marco Reisert, Olaf Ronneberger, Thomas Brox, Thorsten Schmidt, Kun Liu, Thomas Blein, Klaus Palme, Shin Ishii, Shin‐ichi Maeda and Shigeyuki Oba. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.
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.