Fiona R. Kolbinger
- Health Informatics top 0.2%
- Molecular Biology
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Co-authors
- Jakob Nikolas KatherGregory Patrick VeldhuizenHannah Sophie MutiZunamys I. CarreroMichaela UngerSophia J. WagnerNarmin Ghaffari LalehJan Clusmann
- Topics
- Radiomics and Machine Learning in Medical Imaging (15 papers)Pancreatic and Hepatic Oncology Research (8 papers)Artificial Intelligence in Healthcare and Education (8 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Fiona R. Kolbinger
34 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Health Informatics 363
- Molecular Biology 277
- Artificial Intelligence 263
- Radiology, Nuclear Medicine and Imaging 262
- Oncology 216
Countries citing papers authored by Fiona R. Kolbinger
This map shows the geographic impact of Fiona R. Kolbinger'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 Fiona R. Kolbinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona R. Kolbinger more than expected).
Fields of papers citing papers by Fiona R. Kolbinger
This network shows the impact of papers produced by Fiona R. Kolbinger. 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 Fiona R. Kolbinger. The network helps show where Fiona R. Kolbinger may publish in the future.
Co-authorship network of co-authors of Fiona R. Kolbinger
This figure shows the co-authorship network connecting the top 25 collaborators of Fiona R. Kolbinger. A scholar is included among the top collaborators of Fiona R. Kolbinger 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 Fiona R. Kolbinger. Fiona R. Kolbinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 47 | |
| 8 | 1 | |
| 9 | 35 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | The future landscape of large language models in medicinebreakdown → | 472 |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 24 | |
| 19 | 5 | |
| 20 | 28 |
About Fiona R. Kolbinger
Fiona R. Kolbinger is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Artificial Intelligence in Healthcare and Education (8 papers). The work is most often cited by research in Health Informatics (363 citations), Family Practice (32 citations) and Radiology, Nuclear Medicine and Imaging (262 citations). Fiona R. Kolbinger has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jakob Nikolas Kather, Gregory Patrick Veldhuizen, Hannah Sophie Muti, Zunamys I. Carrero, Michaela Unger, Sophia J. Wagner, Narmin Ghaffari Laleh, Jan Clusmann, Chiara Maria Lavinia Löffler and Jan‐Niklas Eckardt. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.
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.