Bianca S. Gerendas
- Ophthalmology top 0.1%
- Retinal Diseases and Treatments 72
- Retinal and Optic Conditions 31
- Glaucoma and retinal disorders 26
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- Retinal Imaging and Analysis 88
- Retinal and Macular Surgery 10
- Health Informatics top 2%
- Otorhinolaryngology top 5%
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- Optical Coherence Tomography Applications 23
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- Digital Imaging for Blood Diseases 3
- Medical Image Segmentation Techniques 3
- Co-authors
- Ursula Schmidt‐ErfurthSebastian M. WaldsteinHrvoje BogunovićAmir SadeghipourGeorg LangsThomas SchleglAna-Maria PhilipJosé Garcia-Arumı́
- Journals
- Investigative Ophthalmology & Visual Science (31 papers)British Journal of Ophthalmology (9 papers)Eye (7 papers)
- Partner nations
- AustriaSwitzerlandUnited States
In The Last Decade
Bianca S. Gerendas
102 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Ophthalmology 2.9k
- Radiology, Nuclear Medicine and Imaging 2.9k
- Health Informatics 74
- Otorhinolaryngology 86
- Health Information Management 61
Countries citing papers authored by Bianca S. Gerendas
This map shows the geographic impact of Bianca S. Gerendas'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 Bianca S. Gerendas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bianca S. Gerendas more than expected).
Fields of papers citing papers by Bianca S. Gerendas
This network shows the impact of papers produced by Bianca S. Gerendas. 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 Bianca S. Gerendas. The network helps show where Bianca S. Gerendas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bianca S. Gerendas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 1 | |
| 4 | Impact of Residual Subretinal Fluid Volumes on Treatment Outcomes in a SRF-tolerant Treat & Extend Regimen | 2021 | 2 |
| 5 | Deep learning-based automated fluid quantification in clinical routine OCT images in neovascular AMD over 5 years | 2021 | 1 |
| 6 | A comparison of the therapeutic response between brolucizumab and aflibercept in the HAWK & HARRIER trials using deep learning-based OCT analysis | 2020 | 3 |
| 7 | Imageability and Registration of Multimodal Imaging using Machine Learning | 2019 | 2 |
| 8 | 2019 | 5 | |
| 9 | Real World Vienna: The VIBES Study - Outcomes and procedures in neovascular AMD | 2018 | 1 |
| 10 | OCT biomarkers predictive for visual acuity in patients with diabetic macular edema | 2017 | 2 |
| 11 | Machine learning to predict the individual progression of AMD from imaging biomarkers | 2017 | 2 |
| 12 | Defining disease endophenotypes in neovascular AMD by unsupervised machine learning of large-scale OCT data | 2017 | 1 |
| 13 | Automatic segmentation and classification of intraretinal cystoid fluid and subretinal fluid in 3D-OCT using convolutional neural networks | 2015 | 7 |
| 14 | Automatic segmentation of the posterior vitreous boundary in retinal optical coherence tomography | 2015 | 1 |
| 15 | Morphological parameters relevant for long-term outcomes during therapy of diabetic macular edema in the RESTORE Extension trial | 2015 | 2 |
| 16 | Statistical Retinal OCT Appearance Models | 2014 | 4 |
| 17 | Morphological parameters relevant for visual and anatomic outcomes during anti-VEGF therapy of diabetic macular edema in the RESTORE trial | 2014 | 13 |
| 18 | Centerpoint Replotting And Its Effects On Central Retinal Thickness In Four Prevalent SD-OCT Devices | 2012 | 2 |
| 19 | Retinal Thickness Measurements with Spectral Domain Optical Coherence Devices from Different Manufacturers in a Reading Center Environment | 2012 | 3 |
| 20 | Comparability Of Pixel Size In Images Of Different Cameras Of The Same Type Used For Multi-Center Trials At Different Study Sites Evaluated With A New Test Eye (SISPOT) | 2011 | 1 |
About Bianca S. Gerendas
Bianca S. Gerendas is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 107 papers that have together received 3.5k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (88 papers), Retinal Diseases and Treatments (72 papers), Retinal and Optic Conditions (31 papers), Glaucoma and retinal disorders (26 papers), Optical Coherence Tomography Applications (23 papers), Retinal and Macular Surgery (10 papers), Digital Imaging for Blood Diseases (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Ophthalmology (2.9k citations), Radiology, Nuclear Medicine and Imaging (2.9k citations) and Health Informatics (74 citations). Bianca S. Gerendas has collaborated with scholars based in Austria, Switzerland and United States. Frequent co-authors include Ursula Schmidt‐Erfurth, Sebastian M. Waldstein, Hrvoje Bogunović, Amir Sadeghipour, Georg Langs, Thomas Schlegl, Ana-Maria Philip, José Garcia-Arumı́, Anat Loewenstein and Ramin Tadayoni. Their work appears in journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology, Eye, Retina and Acta Ophthalmologica.
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.