Tobias Heimann
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery
- Artificial Intelligence top 5%
- Co-authors
- Hans-Peter MeinzerIvo WolfHans‐Peter MeinzerMartin StynerBram van GinnekenGrzegorz BaumanMatthias JohnHervé Delingette
- Topics
- Medical Image Segmentation Techniques (19 papers)Image Retrieval and Classification Techniques (8 papers)3D Shape Modeling and Analysis (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingBiomedical Engineering
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Tobias Heimann
44 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 988
- Biomedical Engineering 557
- Radiology, Nuclear Medicine and Imaging 548
- Surgery 279
- Artificial Intelligence 276
Countries citing papers authored by Tobias Heimann
This map shows the geographic impact of Tobias Heimann'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 Heimann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Heimann more than expected).
Fields of papers citing papers by Tobias Heimann
This network shows the impact of papers produced by Tobias Heimann. 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 Heimann. The network helps show where Tobias Heimann may publish in the future.
Co-authorship network of co-authors of Tobias Heimann
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Heimann. A scholar is included among the top collaborators of Tobias Heimann 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 Heimann. Tobias Heimann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 15 | |
| 3 | 15 | |
| 4 | 24 | |
| 5 | 29 | |
| 6 | 6 | |
| 7 | 89 | |
| 8 | 18 | |
| 9 | 22 | |
| 10 | 65 | |
| 11 | 2 | |
| 12 | 58 | |
| 13 | 13 | |
| 14 | Statistical shape models for 3D medical image segmentation: A reviewbreakdown → | 945 |
| 15 | 21 | |
| 16 | 79 | |
| 17 | 66 | |
| 18 | 70 | |
| 19 | 31 | |
| 20 | 15 |
About Tobias Heimann
Tobias Heimann is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), Image Retrieval and Classification Techniques (8 papers) and 3D Shape Modeling and Analysis (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (988 citations), Radiology, Nuclear Medicine and Imaging (548 citations) and Biomedical Engineering (557 citations). Tobias Heimann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Hans-Peter Meinzer, Ivo Wolf, Hans‐Peter Meinzer, Martin Styner, Bram van Ginneken, Grzegorz Bauman, Matthias John, Hervé Delingette, Monika Eichinger and Michael Puderbach. Their work appears in journals such as Medical Physics, Journal of Magnetic Resonance Imaging and Medical Image Analysis.
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.