Abouzar Eslami
About
In The Last Decade
Abouzar Eslami
46 papers receiving 486 citations
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 278
- Biomedical Engineering 206
- Computer Vision and Pattern Recognition 154
- Ophthalmology 132
- Surgery 80
Countries citing papers authored by Abouzar Eslami
This map shows the geographic impact of Abouzar Eslami'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 Abouzar Eslami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abouzar Eslami more than expected).
Fields of papers citing papers by Abouzar Eslami
This network shows the impact of papers produced by Abouzar Eslami. 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 Abouzar Eslami. The network helps show where Abouzar Eslami may publish in the future.
Co-authorship network of co-authors of Abouzar Eslami
This figure shows the co-authorship network connecting the top 25 collaborators of Abouzar Eslami. A scholar is included among the top collaborators of Abouzar Eslami 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 Abouzar Eslami. Abouzar Eslami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | The effect of dataset size on pretraining and transfer learning for diabetic retinopathy in narrow field to widefield domain shift | 1 |
| 7 | Diabetic retinopathy detection in widefield images by using transfer learning from handheld narrow field images | 1 |
| 8 | OCT-based volumetric measurement of subretinal injection blebs in ex-vivo porcine eyes | 1 |
| 9 | Deep learning for automatic diabetic retinopathy grading of ultra-widefield fundus images | 1 |
| 10 | Real-time Scene Understanding in Ophthalmic Anterior Segment OCT Images | 3 |
| 11 | Injection Assistance via Surgical Needle Guidance using Microscope-Integrated OCT (MI-OCT) | 2 |
| 12 | 9 | |
| 13 | 27 | |
| 14 | 15 | |
| 15 | 6 | |
| 16 | 57 | |
| 17 | 8 | |
| 18 | 22 | |
| 19 | 3 | |
| 20 | 8 |
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.