Julian Zilly
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Joachim M. BuhmannDwarikanath MahapatraEmilio FrazzoliAndrea CensiAlessandro ZanardiClaudio RuchAlessandro AchilleRoger Wattenhofer
- Topics
- Neural Networks and Applications (3 papers)Medical Image Segmentation Techniques (3 papers)Retinal Imaging and Analysis (2 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- Computerized Medical Imaging and GraphicsRepository for Publications and Research Data (ETH Zurich)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Julian Zilly
8 papers receiving 299 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Radiology, Nuclear Medicine and Imaging 260
- Ophthalmology 219
- Computer Vision and Pattern Recognition 147
- Artificial Intelligence 35
- Biomedical Engineering 25
Countries citing papers authored by Julian Zilly
This map shows the geographic impact of Julian Zilly'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 Julian Zilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Zilly more than expected).
Fields of papers citing papers by Julian Zilly
This network shows the impact of papers produced by Julian Zilly. 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 Julian Zilly. The network helps show where Julian Zilly may publish in the future.
Co-authorship network of co-authors of Julian Zilly
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Zilly. A scholar is included among the top collaborators of Julian Zilly 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 Julian Zilly. Julian Zilly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 11 | |
| 5 | The Frechet Distance of training and test distribution predicts the generalization gap | 2 |
| 6 | 1 | |
| 7 | Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentationbreakdown → | 264 |
| 8 | 13 |
About Julian Zilly
Julian Zilly is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Transportation, having authored 8 papers that have together received 304 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Medical Image Segmentation Techniques (3 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Ophthalmology (219 citations), Radiology, Nuclear Medicine and Imaging (260 citations) and Computer Vision and Pattern Recognition (147 citations). Julian Zilly has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Joachim M. Buhmann, Dwarikanath Mahapatra, Emilio Frazzoli, Andrea Censi, Alessandro Zanardi, Claudio Ruch, Alessandro Achille and Roger Wattenhofer. Their work appears in journals such as Computerized Medical Imaging and Graphics and Repository for Publications and Research Data (ETH Zurich).
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.