Caroline Kühnel
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Surgery
- Co-authors
- Heinz‐Otto PeitgenOla FrimanMilo HindennachTobias BoskampAnja HennemuthDominik FritzDaniel RinckMichael Scheuering
- Topics
- Medical Image Segmentation Techniques (4 papers)Medical Imaging Techniques and Applications (3 papers)Advanced X-ray and CT Imaging (3 papers)
- Journals
- Medical Image AnalysisPublikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)Eurographics
- Partner nations
- Germany
In The Last Decade
Caroline Kühnel
7 papers receiving 177 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 111
- Radiology, Nuclear Medicine and Imaging 103
- Pulmonary and Respiratory Medicine 49
- Biomedical Engineering 48
- Surgery 32
Countries citing papers authored by Caroline Kühnel
This map shows the geographic impact of Caroline Kühnel'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 Caroline Kühnel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Kühnel more than expected).
Fields of papers citing papers by Caroline Kühnel
This network shows the impact of papers produced by Caroline Kühnel. 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 Caroline Kühnel. The network helps show where Caroline Kühnel may publish in the future.
Co-authorship network of co-authors of Caroline Kühnel
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Kühnel. A scholar is included among the top collaborators of Caroline Kühnel 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 Caroline Kühnel. Caroline Kühnel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 119 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | New Software Assistants for Cardiovascular Diagnosis. | 4 |
| 7 | 41 |
About Caroline Kühnel
Caroline Kühnel is a scholar working on Energy Engineering and Power Technology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 186 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (111 citations), Radiology, Nuclear Medicine and Imaging (103 citations) and Biophysics (10 citations). Caroline Kühnel has collaborated with scholars based in Germany. Frequent co-authors include Heinz‐Otto Peitgen, Ola Friman, Milo Hindennach, Tobias Boskamp, Anja Hennemuth, Dominik Fritz, Daniel Rinck, Michael Scheuering, Steffen Oeltze and Bernhard Preim. Their work appears in journals such as Medical Image Analysis, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Eurographics.
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.