Matthias Perkonigg
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Epidemiology
- Co-authors
- Georg LangsChristian HeroldJohannes HofmanningerHelmut ProschJames A. BrinkOleg S. PianykhAhmed Ba‐SsalamahNina Bastati
- Topics
- Domain Adaptation and Few-Shot Learning (3 papers)Liver Disease and Transplantation (2 papers)Hepatocellular Carcinoma Treatment and Prognosis (2 papers)
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
Matthias Perkonigg
5 papers receiving 65 citations
Peers
Comparison fields: 5 of 33
- Radiology, Nuclear Medicine and Imaging 37
- Artificial Intelligence 28
- Computer Vision and Pattern Recognition 17
- Biomedical Engineering 10
- Epidemiology 8
Countries citing papers authored by Matthias Perkonigg
This map shows the geographic impact of Matthias Perkonigg'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 Perkonigg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Perkonigg more than expected).
Fields of papers citing papers by Matthias Perkonigg
This network shows the impact of papers produced by Matthias Perkonigg. 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 Perkonigg. The network helps show where Matthias Perkonigg may publish in the future.
Co-authorship network of co-authors of Matthias Perkonigg
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Perkonigg. A scholar is included among the top collaborators of Matthias Perkonigg 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 Perkonigg. Matthias Perkonigg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 49 | |
| 6 | 3 |
About Matthias Perkonigg
Matthias Perkonigg is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 65 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Liver Disease and Transplantation (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Health Informatics (5 citations), Radiology, Nuclear Medicine and Imaging (37 citations) and Artificial Intelligence (28 citations). Matthias Perkonigg has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Georg Langs, Christian Herold, Johannes Hofmanninger, Helmut Prosch, James A. Brink, Oleg S. Pianykh, Ahmed Ba‐Ssalamah, Nina Bastati, Alexander Herold and Lucian Beer. Their work appears in journals such as Nature Communications, European Radiology and Artificial Intelligence in Medicine.
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.