Ioannis Boniatis
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Rheumatology
- Biomedical Engineering
- Co-authors
- George PanayiotakisLena CostaridouSpyros SkiadopoulosAnna KarahaliouElias PanagiotopoulosD. CavourasIoannis KalatzisG. Panayiotakis
- Topics
- Osteoarthritis Treatment and Mechanisms (10 papers)Medical Imaging and Analysis (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentMeasurement Science and TechnologyComputers in Biology and Medicine
- Partner nations
- GreeceUnited Kingdom
In The Last Decade
Ioannis Boniatis
18 papers receiving 302 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 154
- Radiology, Nuclear Medicine and Imaging 132
- Computer Vision and Pattern Recognition 103
- Rheumatology 80
- Biomedical Engineering 77
Countries citing papers authored by Ioannis Boniatis
This map shows the geographic impact of Ioannis Boniatis'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 Ioannis Boniatis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Boniatis more than expected).
Fields of papers citing papers by Ioannis Boniatis
This network shows the impact of papers produced by Ioannis Boniatis. 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 Ioannis Boniatis. The network helps show where Ioannis Boniatis may publish in the future.
Co-authorship network of co-authors of Ioannis Boniatis
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Boniatis. A scholar is included among the top collaborators of Ioannis Boniatis 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 Ioannis Boniatis. Ioannis Boniatis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 90 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 17 | |
| 13 | 16 | |
| 14 | 74 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 22 | |
| 18 | 17 | |
| 19 | 12 | |
| 20 | 25 |
About Ioannis Boniatis
Ioannis Boniatis is a scholar working on Health Informatics, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 328 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (10 papers), Medical Imaging and Analysis (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (132 citations), Rheumatology (80 citations) and Computer Vision and Pattern Recognition (103 citations). Ioannis Boniatis has collaborated with scholars based in Greece and United Kingdom. Frequent co-authors include George Panayiotakis, Lena Costaridou, Spyros Skiadopoulos, Anna Karahaliou, Elias Panagiotopoulos, D. Cavouras, Ioannis Kalatzis, G. Panayiotakis, Dionisis Cavouras and Georgios Michail. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Measurement Science and Technology and Computers in Biology and 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.