Fred Hersch

18 papers receiving 623 citations

Fred Hersch's Hit Papers

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy 2020 · 368 citations
3680+2+4Years since publication100200300

Peers

Fred Hersch
Comparison fields: 5 of 93
  • Health Informatics 137
  • Health Information Management 49
  • Family Practice 15
  • Applied Psychology 38
  • Ophthalmology 61
Replace Laura Vardoulakis with:
Laura Vardoulakis United States
Abhimanyu S. Ahuja United States
Elizabeth Baylor United States
Raffaele Rasoini Italy
Sonoo Thadaney-Israni United States
Michaela Hardt United States
Mohammed Saeed United Kingdom
Kyle Lam United Kingdom
Stephanie Teeple United States
Melissa D. McCradden Canada
Fred Hersch relative to Laura Vardoulakis United States Laura Vardoulakis's profile →
Citations per field
00.5×5.7×
Laura Vardoulakis · 1×
Citations per year

Countries citing papers authored by Fred Hersch

Since Specialization
Citations

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

Fields of papers citing papers by Fred Hersch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fred Hersch, 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 Fred Hersch Line = papers co-authored together Fred Hersch links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy
Hit paper breakdown →
2020368
2 201460
3 201647
4 201225
5 202320
6 201120
7 201319
8 202313
9 202012
10 201110
11 20158
12 20117
13 20187
14 20037
15 20177
16 20232
17 20172
18 20251
19 20060

About Fred Hersch

Fred Hersch is a scholar working on Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging, Emergency Medical Services, Organizational Behavior and Human Resource Management and General Health Professions, having authored 19 papers that have together received 635 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (3 papers), Global Health and Surgery (3 papers), Telemedicine and Telehealth Implementation (3 papers), Global Health Workforce Issues (3 papers), Retinal Diseases and Treatments (2 papers), Healthcare Systems and Technology (2 papers), Amoebic Infections and Treatments (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Health Informatics (137 citations), Health Information Management (49 citations), Family Practice (15 citations), Applied Psychology (38 citations) and Ophthalmology (61 citations). Fred Hersch has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paisan Ruamviboonsuk, Lauren Wilcox, Laura Vardoulakis, Elizabeth Baylor, David Peiris, Emma Heeley, Julie Redfern, Genevieve Coorey, Lis Neubeck and Rob Mitchell. Their work appears in journals such as The Medical Journal of Australia, BMJ Open, Journal of Telemedicine and Telecare, British Journal of Ophthalmology and International Journal of Medical Informatics.

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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