Agata Mosinska
- Radiology, Nuclear Medicine and Imaging top 10%
- Ophthalmology top 5%
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 10%
- Environmental Engineering top 10%
- Co-authors
- Pascal FuaMateusz KozińskiPablo Márquez-NeilaSandro De ZanetCarlos CillerStefanos ApostolopoulosIrmela MantelRaphael Sznitman
- Topics
- Retinal Imaging and Analysis (8 papers)Retinal Diseases and Treatments (6 papers)Retinal and Optic Conditions (3 papers)
- Partner nations
- SwitzerlandNetherlandsUnited Kingdom
In The Last Decade
Agata Mosinska
12 papers receiving 322 citations
Peers
Comparison fields: 5 of 56
- Radiology, Nuclear Medicine and Imaging 158
- Ophthalmology 124
- Computer Vision and Pattern Recognition 99
- Ocean Engineering 82
- Environmental Engineering 73
Countries citing papers authored by Agata Mosinska
This map shows the geographic impact of Agata Mosinska'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 Agata Mosinska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agata Mosinska more than expected).
Fields of papers citing papers by Agata Mosinska
This network shows the impact of papers produced by Agata Mosinska. 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 Agata Mosinska. The network helps show where Agata Mosinska may publish in the future.
Co-authorship network of co-authors of Agata Mosinska
This figure shows the co-authorship network connecting the top 25 collaborators of Agata Mosinska. A scholar is included among the top collaborators of Agata Mosinska 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 Agata Mosinska. Agata Mosinska 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 | 55 | |
| 4 | 20 | |
| 5 | 26 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | Automated detection and quantification of pathological fluid in neovascular age-related macular degeneration using a deep learning approach | 5 |
| 9 | Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography | 3 |
| 10 | 19 | |
| 11 | 14 | |
| 12 | 162 | |
| 13 | 6 |
About Agata Mosinska
Agata Mosinska is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 13 papers that have together received 330 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (8 papers), Retinal Diseases and Treatments (6 papers) and Retinal and Optic Conditions (3 papers). The work is most often cited by research in Ophthalmology (124 citations), Radiology, Nuclear Medicine and Imaging (158 citations) and Ocean Engineering (82 citations). Agata Mosinska has collaborated with scholars based in Switzerland, Netherlands and United Kingdom. Frequent co-authors include Pascal Fua, Mateusz Koziński, Pablo Márquez-Neila, Sandro De Zanet, Carlos Ciller, Stefanos Apostolopoulos, Irmela Mantel, Raphael Sznitman, Martin S. Zinkernagel and Marion R. Munk. Their work appears in journals such as Blood, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.