Ana-Maria Philip
- Radiology, Nuclear Medicine and Imaging top 2%
- Ophthalmology top 1%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Sebastian M. WaldsteinBianca S. GerendasUrsula Schmidt‐ErfurthGeorg LangsDominika PodkowinskiHrvoje BogunovićAmir SadeghipourThomas Schlegl
- Topics
- Retinal Diseases and Treatments (10 papers)Retinal Imaging and Analysis (9 papers)Retinal and Optic Conditions (4 papers)
- Partner nations
- AustriaUnited States
In The Last Decade
Ana-Maria Philip
11 papers receiving 637 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Radiology, Nuclear Medicine and Imaging 604
- Ophthalmology 539
- Biomedical Engineering 122
- Computer Vision and Pattern Recognition 78
- Artificial Intelligence 32
Countries citing papers authored by Ana-Maria Philip
This map shows the geographic impact of Ana-Maria Philip'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 Ana-Maria Philip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana-Maria Philip more than expected).
Fields of papers citing papers by Ana-Maria Philip
This network shows the impact of papers produced by Ana-Maria Philip. 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 Ana-Maria Philip. The network helps show where Ana-Maria Philip may publish in the future.
Co-authorship network of co-authors of Ana-Maria Philip
This figure shows the co-authorship network connecting the top 25 collaborators of Ana-Maria Philip. A scholar is included among the top collaborators of Ana-Maria Philip 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 Ana-Maria Philip. Ana-Maria Philip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learningbreakdown → | 422 |
| 3 | 16 | |
| 4 | 5 | |
| 5 | 31 | |
| 6 | 7 | |
| 7 | 32 | |
| 8 | Data driven discovery of anti-VEGF treatment response groups based on fully automatic vitreomacular interface segmentation | 1 |
| 9 | Presence of subretinal fluid at baseline preserves from photoreceptor alterations in diabetic macular edema and cystoid macular edema due to central retinal vein occlusion | 4 |
| 10 | 32 | |
| 11 | 84 |
About Ana-Maria Philip
Ana-Maria Philip is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 11 papers that have together received 649 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (10 papers), Retinal Imaging and Analysis (9 papers) and Retinal and Optic Conditions (4 papers). The work is most often cited by research in Ophthalmology (539 citations), Radiology, Nuclear Medicine and Imaging (604 citations) and Health Informatics (10 citations). Ana-Maria Philip has collaborated with scholars based in Austria and United States. Frequent co-authors include Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt‐Erfurth, Georg Langs, Dominika Podkowinski, Hrvoje Bogunović, Amir Sadeghipour, Thomas Schlegl, Christian Simader and Jing Wu. Their work appears in journals such as Scientific Reports, Ophthalmology and Investigative Ophthalmology & Visual Science.
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.