Katerina Vassiou
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Ioannis FezoulidisMarianna VlychouIoannis TsougosAnna KarahaliouDimitrios ArvanitisLena CostaridouSpyros SkiadopoulosΌλγα Λαζούρα
- Topics
- MRI in cancer diagnosis (14 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)Advanced MRI Techniques and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS Applied Materials & InterfacesMedical Physics
- Partner nations
- GreeceUnited StatesNorway
In The Last Decade
Katerina Vassiou
63 papers receiving 956 citations
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 405
- Surgery 217
- Pulmonary and Respiratory Medicine 203
- Artificial Intelligence 106
- Biomedical Engineering 104
Countries citing papers authored by Katerina Vassiou
This map shows the geographic impact of Katerina Vassiou'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 Katerina Vassiou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katerina Vassiou more than expected).
Fields of papers citing papers by Katerina Vassiou
This network shows the impact of papers produced by Katerina Vassiou. 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 Katerina Vassiou. The network helps show where Katerina Vassiou may publish in the future.
Co-authorship network of co-authors of Katerina Vassiou
This figure shows the co-authorship network connecting the top 25 collaborators of Katerina Vassiou. A scholar is included among the top collaborators of Katerina Vassiou 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 Katerina Vassiou. Katerina Vassiou 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 | 2 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 109 | |
| 19 | 3 | |
| 20 | 110 |
About Katerina Vassiou
Katerina Vassiou is a scholar working on Radiology, Nuclear Medicine and Imaging, Rheumatology and Pulmonary and Respiratory Medicine, having authored 67 papers that have together received 973 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (405 citations), Pulmonary and Respiratory Medicine (203 citations) and Hepatology (46 citations). Katerina Vassiou has collaborated with scholars based in Greece, United States and Norway. Frequent co-authors include Ioannis Fezoulidis, Marianna Vlychou, Ioannis Tsougos, Anna Karahaliou, Dimitrios Arvanitis, Lena Costaridou, Spyros Skiadopoulos, Όλγα Λαζούρα, Christos Rountas and E. Kapsalaki. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Medical Physics.
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.