Christian Feddern
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Computational Mechanics
- Media Technology
- Computational Mathematics top 10%
- Co-authors
- Joachim WeickertChristoph SchnörrAndrés BruhnTimo KohlbergerMartin WelkBernhard BurgethFlorian Becker
- Topics
- Advanced Neuroimaging Techniques and Applications (2 papers)Medical Image Segmentation Techniques (2 papers)3D Shape Modeling and Analysis (1 paper)
- Cited by
- Computational MathematicsComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Image ProcessingInternational Journal of Computer VisionSignal Processing
- Partner nations
- Germany
In The Last Decade
Christian Feddern
3 papers receiving 147 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 105
- Radiology, Nuclear Medicine and Imaging 42
- Computational Mechanics 16
- Media Technology 16
- Computational Mathematics 11
Countries citing papers authored by Christian Feddern
This map shows the geographic impact of Christian Feddern'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 Christian Feddern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Feddern more than expected).
Fields of papers citing papers by Christian Feddern
This network shows the impact of papers produced by Christian Feddern. 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 Christian Feddern. The network helps show where Christian Feddern may publish in the future.
Co-authorship network of co-authors of Christian Feddern
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Feddern. A scholar is included among the top collaborators of Christian Feddern 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 Christian Feddern. Christian Feddern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 29 | |
| 3 | 96 | |
| 4 | Median filtering of tensor-valued images | 3 |
About Christian Feddern
Christian Feddern is a scholar working on Computer Vision and Pattern Recognition, Philosophy and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 155 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (2 papers), Medical Image Segmentation Techniques (2 papers) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computational Mathematics (11 citations), Computer Vision and Pattern Recognition (105 citations) and Computer Graphics and Computer-Aided Design (8 citations). Christian Feddern has collaborated with scholars based in Germany. Frequent co-authors include Joachim Weickert, Christoph Schnörr, Andrés Bruhn, Timo Kohlberger, Martin Welk, Bernhard Burgeth and Florian Becker. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and Signal Processing.
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.