Matthias Thorn
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Hepatology top 10%
- Co-authors
- Carlos CárdenasHans‐Peter MeinzerHans-Peter MeinzerWolfram LamadéR KornLars GrenacherBinsheng ZhaoP. David Mozley
- Topics
- Surgical Simulation and Training (7 papers)Medical Image Segmentation Techniques (5 papers)Augmented Reality Applications (4 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Matthias Thorn
18 papers receiving 340 citations
Peers
Comparison fields: 5 of 54
- Surgery 134
- Radiology, Nuclear Medicine and Imaging 115
- Pulmonary and Respiratory Medicine 96
- Computer Vision and Pattern Recognition 89
- Hepatology 77
Countries citing papers authored by Matthias Thorn
This map shows the geographic impact of Matthias Thorn'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 Matthias Thorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Thorn more than expected).
Fields of papers citing papers by Matthias Thorn
This network shows the impact of papers produced by Matthias Thorn. 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 Matthias Thorn. The network helps show where Matthias Thorn may publish in the future.
Co-authorship network of co-authors of Matthias Thorn
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Thorn. A scholar is included among the top collaborators of Matthias Thorn 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 Matthias Thorn. Matthias Thorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 87 | |
| 2 | 14 | |
| 3 | 8 | |
| 4 | 18 | |
| 5 | 31 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 48 | |
| 11 | 38 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 68 | |
| 16 | 1 | |
| 17 | Navigation in der Leberchirurgie: Ergebnisse einer Anforderungsanalyse. | 2 |
| 18 | Navigation in der Leberchirurgie - Anforderungen und Lösungsansatz | 1 |
About Matthias Thorn
Matthias Thorn is a scholar working on Hepatology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 18 papers that have together received 349 indexed citations. Recurring topics across this work include Surgical Simulation and Training (7 papers), Medical Image Segmentation Techniques (5 papers) and Augmented Reality Applications (4 papers). The work is most often cited by research in Hepatology (77 citations), Radiology, Nuclear Medicine and Imaging (115 citations) and Computer Vision and Pattern Recognition (89 citations). Matthias Thorn has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Carlos Cárdenas, Hans‐Peter Meinzer, Hans-Peter Meinzer, Wolfram Lamadé, R Korn, Lars Grenacher, Binsheng Zhao, P. David Mozley, Andrea Perrone and Andrew J. Buckler. Their work appears in journals such as European Radiology, Journal of Surgical Research and Journal of Computer Assisted Tomography.
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.