Tobias Kunert
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Ivo WolfThomas BöttgerHans-Peter MeinzerMax SchöbingerIngmar WegnerMarcus VetterMark HastenteufelMarco Nolden
- Topics
- Medical Image Segmentation Techniques (11 papers)Medical Imaging Techniques and Applications (6 papers)3D Shape Modeling and Analysis (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Partner nations
- Germany
In The Last Decade
Tobias Kunert
13 papers receiving 469 citations
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 235
- Computer Vision and Pattern Recognition 157
- Biomedical Engineering 134
- Surgery 71
- Pulmonary and Respiratory Medicine 68
Countries citing papers authored by Tobias Kunert
This map shows the geographic impact of Tobias Kunert'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 Tobias Kunert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Kunert more than expected).
Fields of papers citing papers by Tobias Kunert
This network shows the impact of papers produced by Tobias Kunert. 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 Tobias Kunert. The network helps show where Tobias Kunert may publish in the future.
Co-authorship network of co-authors of Tobias Kunert
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Kunert. A scholar is included among the top collaborators of Tobias Kunert 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 Tobias Kunert. Tobias Kunert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 18 | |
| 3 | 301 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 91 | |
| 7 | New methods for leak detection and contour correction in seeded region growing segmentation | 19 |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 2 |
About Tobias Kunert
Tobias Kunert is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 484 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (6 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (235 citations), Computer Vision and Pattern Recognition (157 citations) and Computer Graphics and Computer-Aided Design (24 citations). Tobias Kunert has collaborated with scholars based in Germany. Frequent co-authors include Ivo Wolf, Thomas Böttger, Hans-Peter Meinzer, Max Schöbinger, Ingmar Wegner, Marcus Vetter, Mark Hastenteufel, Marco Nolden, Hans Peter Meinzer and Hans‐Peter Meinzer. Their work appears in journals such as Medical Image Analysis, European Radiology and Academic Radiology.
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.