Zaid Mammo
- Ophthalmology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering
- Molecular Biology
- Computer Vision and Pattern Recognition
- Co-authors
- Marinko V. ŠarunicAndrew MerkurChandrakumar BalaratnasingamDao‐Yi YuMorgan HeislerDavid AlbianiAndrew KirkerPaul J. Mackenzie
- Topics
- Retinal Diseases and Treatments (22 papers)Glaucoma and retinal disorders (21 papers)Retinal Imaging and Analysis (14 papers)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Zaid Mammo
36 papers receiving 836 citations
Peers
Comparison fields: 5 of 73
- Ophthalmology 700
- Radiology, Nuclear Medicine and Imaging 610
- Biomedical Engineering 190
- Molecular Biology 63
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Zaid Mammo
This map shows the geographic impact of Zaid Mammo'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 Zaid Mammo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaid Mammo more than expected).
Fields of papers citing papers by Zaid Mammo
This network shows the impact of papers produced by Zaid Mammo. 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 Zaid Mammo. The network helps show where Zaid Mammo may publish in the future.
Co-authorship network of co-authors of Zaid Mammo
This figure shows the co-authorship network connecting the top 25 collaborators of Zaid Mammo. A scholar is included among the top collaborators of Zaid Mammo 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 Zaid Mammo. Zaid Mammo 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 | 7 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | Measurement of spatial and temporal retinal perfusion heterogeneity using OCTA | 1 |
| 7 | 17 | |
| 8 | 15 | |
| 9 | 17 | |
| 10 | Machine Learning-assisted Automated Quantification of Foveal Avascular Zone Parameters and Perifoveal Capillary Density of Prototype and Commercial Optical Coherence Tomography Angiography (OCT-A) Platforms in Healthy and Diabetic Eyes | 1 |
| 11 | 2 | |
| 12 | 154 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 37 | |
| 17 | 68 | |
| 18 | 8 | |
| 19 | 20 | |
| 20 | 5 |
About Zaid Mammo
Zaid Mammo is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 39 papers that have together received 868 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (22 papers), Glaucoma and retinal disorders (21 papers) and Retinal Imaging and Analysis (14 papers). The work is most often cited by research in Ophthalmology (700 citations), Radiology, Nuclear Medicine and Imaging (610 citations) and Biomedical Engineering (190 citations). Zaid Mammo has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Marinko V. Šarunic, Andrew Merkur, Chandrakumar Balaratnasingam, Dao‐Yi Yu, Morgan Heisler, David Albiani, Andrew Kirker, Paul J. Mackenzie, Eduardo V. Navajas and Mirza Faisal Beg. Their work appears in journals such as PLoS ONE, Ophthalmology and American Journal of Ophthalmology.
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.