Amir Sadeghipour
- Ophthalmology top 0.2%
- Retinal Diseases and Treatments 22
- Retinal and Optic Conditions 9
- Glaucoma and retinal disorders 7
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- Retinal Imaging and Analysis 23
- Health Informatics top 2%
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- Hand Gesture Recognition Systems 5
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- Action Observation and Synchronization 4
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- Hearing Impairment and Communication 4
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- Optical Coherence Tomography Applications 3
Amir Sadeghipour
40 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Ophthalmology 1.4k
- Radiology, Nuclear Medicine and Imaging 1.5k
- Health Informatics 77
- Health Information Management 57
- Computer Vision and Pattern Recognition 182
Countries citing papers authored by Amir Sadeghipour
This map shows the geographic impact of Amir Sadeghipour'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 Amir Sadeghipour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Sadeghipour more than expected).
Fields of papers citing papers by Amir Sadeghipour
This network shows the impact of papers produced by Amir Sadeghipour. 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 Amir Sadeghipour. The network helps show where Amir Sadeghipour may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amir Sadeghipour, 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 | 2025 | 2 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 3 | |
| 5 | Deep learning-based automated fluid quantification in clinical routine OCT images in neovascular AMD over 5 years | 2021 | 1 |
| 6 | Imageability and Registration of Multimodal Imaging using Machine Learning | 2019 | 2 |
| 7 | Deep learning identifies hyperreflective foci as predictors of geographic atrophy progression | 2019 | 1 |
| 8 | 2019 | 4 | |
| 9 | Real World Vienna: The VIBES Study - Outcomes and procedures in neovascular AMD | 2018 | 1 |
| 10 | Artificial intelligence to predict optimal retreatment intervals in treat-and-extend (T&E) | 2018 | 3 |
| 11 | OCT biomarkers predictive for visual acuity in patients with diabetic macular edema | 2017 | 2 |
| 12 | Machine learning to predict the individual progression of AMD from imaging biomarkers | 2017 | 2 |
| 13 | Defining disease endophenotypes in neovascular AMD by unsupervised machine learning of large-scale OCT data | 2017 | 1 |
| 14 | 2017 | 37 | |
| 15 | 2017 | 135 | |
| 16 | Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learningbreakdown → | 2017 | 422 |
| 17 | Learning a Motor Grammar of Iconic Gestures | 2014 | 3 |
| 18 | Embodied Gesture Processing: Motor-based Perception-Action Integration in Social Artificial Agents | 2011 | 3 |
| 19 | 2010 | 17 | |
| 20 | ASSESSMENT OF THE PREVALENCE OF HUMAN T-LYMPHOTROPIC VIRUS TYPE 1 AMONG THALASSEMIC PATIENTS WITH FREQUENT BLOOD TRANSFUSION IN TEHRAN IN 2003 | 2005 | 7 |
About Amir Sadeghipour
Amir Sadeghipour is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Human-Computer Interaction, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (23 papers), Retinal Diseases and Treatments (22 papers), Retinal and Optic Conditions (9 papers), Glaucoma and retinal disorders (7 papers), Hand Gesture Recognition Systems (5 papers), Action Observation and Synchronization (4 papers), Hearing Impairment and Communication (4 papers) and Optical Coherence Tomography Applications (3 papers). The work is most often cited by research in Ophthalmology (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Health Informatics (77 citations). Amir Sadeghipour has collaborated with scholars based in Austria, Germany and China. Frequent co-authors include Ursula Schmidt‐Erfurth, Hrvoje Bogunović, Sebastian M. Waldstein, Bianca S. Gerendas, Thomas Schlegl, Georg Langs, Aaron Osborne, Ana-Maria Philip, Dominika Podkowinski and Sophie Riedl. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Scientific Reports, Retina, Acta Ophthalmologica and Cognitive Computation.
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.