Daniel T. Hogarty
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
Papers in
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- Glaucoma and retinal disorders 3
- Retinal Diseases and Treatments 1
- Ophthalmology and Visual Health Research 1
- Retinal and Optic Conditions 1
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- Retinal Imaging and Analysis 2
- Co-authors
- Alex W. Hewitt (2 shared papers)David A. Mackey (1 shared paper)Kevin Phan (2 shared papers)Fergal J. Moloney (2 shared papers)Anousha Yazdabadi (2 shared papers)Mohammed Hossny (1 shared paper)John Su (1 shared paper)Mohamed Attia (1 shared paper)
In The Last Decade
Daniel T. Hogarty
9 papers receiving 382 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 37
- Ophthalmology 106
- Radiology, Nuclear Medicine and Imaging 140
- Oncology 75
- Epidemiology 82
Countries citing papers authored by Daniel T. Hogarty
This map shows the geographic impact of Daniel T. Hogarty'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 Daniel T. Hogarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Hogarty more than expected).
Fields of papers citing papers by Daniel T. Hogarty
This network shows the impact of papers produced by Daniel T. Hogarty. 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 Daniel T. Hogarty. The network helps show where Daniel T. Hogarty may publish in the future.
Co-authors
The 21 scholars most cited alongside Daniel T. Hogarty, 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 | 2018 | 137 | |
| 2 | 2019 | 128 | |
| 3 | 2019 | 46 | |
| 4 | 2018 | 45 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 14 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 0 |
About Daniel T. Hogarty
Daniel T. Hogarty is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Epidemiology and Infectious Diseases, having authored 10 papers that have together received 402 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (3 papers), Retinal Imaging and Analysis (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Retinal Diseases and Treatments (1 paper), Ophthalmology and Visual Health Research (1 paper), Retinal and Optic Conditions (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Health Informatics (37 citations), Ophthalmology (106 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Oncology (75 citations) and Epidemiology (82 citations). Daniel T. Hogarty has collaborated with scholars based in Australia and Ireland. Frequent co-authors include Alex W. Hewitt, David A. Mackey, Kevin Phan, Fergal J. Moloney, Anousha Yazdabadi, Mohammed Hossny, John Su, Mohamed Attia, Saeid Nahavandi and P. Lenane. Their work appears in journals such as Clinical and Experimental Ophthalmology, Emergency Medicine Australasia, Survey of Ophthalmology, American Journal of Clinical Dermatology and Journal of Clinical Medicine.
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.