Anja Borsdorf
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Media Technology top 5%
- Ophthalmology top 10%
- Co-authors
- Joachim HorneggerRainer RaupachThomas FlohrRalf P. TornowMartin G. WagnerChristian Y. MardinMarkus A. MayerAndreas Maier
- Topics
- Medical Image Segmentation Techniques (10 papers)Medical Imaging Techniques and Applications (8 papers)Image and Signal Denoising Methods (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingMedia Technology
- Journals
- IEEE Transactions on Medical ImagingBiomedical Optics ExpressInternational Journal of Computer Assisted Radiology and Surgery
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Anja Borsdorf
14 papers receiving 340 citations
Peers
Comparison fields: 5 of 45
- Biomedical Engineering 226
- Computer Vision and Pattern Recognition 190
- Radiology, Nuclear Medicine and Imaging 183
- Media Technology 61
- Ophthalmology 31
Countries citing papers authored by Anja Borsdorf
This map shows the geographic impact of Anja Borsdorf'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 Anja Borsdorf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Borsdorf more than expected).
Fields of papers citing papers by Anja Borsdorf
This network shows the impact of papers produced by Anja Borsdorf. 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 Anja Borsdorf. The network helps show where Anja Borsdorf may publish in the future.
Co-authorship network of co-authors of Anja Borsdorf
This figure shows the co-authorship network connecting the top 25 collaborators of Anja Borsdorf. A scholar is included among the top collaborators of Anja Borsdorf 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 Anja Borsdorf. Anja Borsdorf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 15 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 125 | |
| 9 | 5 | |
| 10 | 126 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | Nonlinear Diffusion vs. Wavelet Based Noise Reduction in CT Using Correlation Analysis | 1 |
| 15 | 0 |
About Anja Borsdorf
Anja Borsdorf is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 15 papers that have together received 357 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Medical Imaging Techniques and Applications (8 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Radiology, Nuclear Medicine and Imaging (183 citations) and Media Technology (61 citations). Anja Borsdorf has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Joachim Hornegger, Rainer Raupach, Thomas Flohr, Ralf P. Tornow, Martin G. Wagner, Christian Y. Mardin, Markus A. Mayer, Andreas Maier, Peter Fischer and Benno Heigl. Their work appears in journals such as IEEE Transactions on Medical Imaging, Biomedical Optics Express and International Journal of Computer Assisted Radiology and Surgery.
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.