Edsel Ing

80 papers receiving 1.1k citations

Edsel Ing's Hit Papers

Conversational AI Models for ophthalmic diagnosis: Comparison of ChatGPT and the Isabel Pro Differential Diagnosis Generator 2023 · 80 citations
800+1+2Years since publication255075

Peers

Edsel Ing
Comparison fields: 5 of 131
  • Health Informatics 149
  • Ophthalmology 144
  • Modeling and Simulation 74
  • General Dentistry 17
  • Neurology 96
Replace Selen Bozkurt with:
Selen Bozkurt Türkiye
Malke Asaad United States
Francesco Esperto Italy
Sanjay A Pai India
Ankur Khajuria United Kingdom
Farah Wani United States
Elham Hatef United States
R D Start United Kingdom
Hiang Khoon Tan Singapore
Seper Ekhtiari Canada
Edsel Ing relative to Selen Bozkurt Türkiye Selen Bozkurt's profile →
Citations per field
00.5×10×15×20×24.7×
Selen Bozkurt · 1×
Citations per year

Countries citing papers authored by Edsel Ing

Since Specialization
Citations

This map shows the geographic impact of Edsel Ing'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 Edsel Ing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edsel Ing more than expected).

Fields of papers citing papers by Edsel Ing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edsel Ing. 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 Edsel Ing. The network helps show where Edsel Ing may publish in the future.

Co-authors

The 25 scholars most cited alongside Edsel Ing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edsel Ing Line = papers co-authored together Edsel Ing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020160
2 2020135
3
Conversational AI Models for ophthalmic diagnosis: Comparison of ChatGPT and the Isabel Pro Differential Diagnosis Generator
Hit paper breakdown →
202380
4 199847
5 199644
6 199742
7 199234
8 201729
9 200026
10 200625
11 201823
12 202323
13 202323
14 202121
15 202020
16 201419
17 202318
18 202317
19 201817
20 201817

About Edsel Ing

Edsel Ing is a scholar working on Ophthalmology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Health Informatics and Neurology, having authored 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vasculitis and related conditions (12 papers), Artificial Intelligence in Healthcare and Education (11 papers), Ophthalmology and Eye Disorders (9 papers), Cerebral Venous Sinus Thrombosis (6 papers), Topic Modeling (5 papers), Machine Learning in Healthcare (5 papers), Meningioma and schwannoma management (4 papers) and Ophthalmology and Visual Health Research (3 papers). The work is most often cited by research in Health Informatics (149 citations), Ophthalmology (144 citations), Modeling and Simulation (74 citations), General Dentistry (17 citations) and Neurology (96 citations). Edsel Ing has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Nurhan Torun, Michael Balas, Ali Salimi, Qi Xu, Craig A. McKeown, Christopher T. Leffler, Andrzej Grzybowski, Joseph Lykins, Brian R. Younge and Jacqueline A. Leavitt. Their work appears in journals such as Canadian Journal of Ophthalmology, Ophthalmic Plastic and Reconstructive Surgery, Clinical ophthalmology, American Journal of Ophthalmology 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.

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