Fred Hersch

15 papers receiving 553 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 · 316 citations
3160+2+4Years since publication100200300

Peers

Fred Hersch
Comparison fields: 5 of 98
  • Health Informatics 132
  • Health Information Management 54
  • Applied Psychology 55
  • Ophthalmology 86
  • Family Practice 20
Replace Laura Vardoulakis with:
Laura Vardoulakis United States
Abhimanyu S. Ahuja United States
Elizabeth Baylor Thailand
Yilin Ning Singapore
Trevor Jamieson Canada
Stephanie Teeple United States
Sonoo Thadaney-Israni United States
Anthony Solomonides United States
Melissa D. McCradden Canada
Michaela Hardt United States
Fred Hersch relative to Laura Vardoulakis United States Laura Vardoulakis's profile →
Citations per field
00.5×9.3×
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

16 of 16 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 →
2020316
2 201456
3 201642
4 201222
5 201120
6 201319
7 202318
8 202313
9 202012
10 201110
11 20158
12 20037
13 20177
14 20116
15 20186
16 20230

About Fred Hersch

Fred Hersch is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 16 papers that have together received 562 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (4 papers), Retinal Diseases and Treatments (4 papers), Health Literacy and Information Accessibility (3 papers), Telemedicine and Telehealth Implementation (3 papers), Global Health Workforce Issues (3 papers), Global Health and Surgery (3 papers), Mobile Health and mHealth Applications (3 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Health Informatics (132 citations), Health Information Management (54 citations), Applied Psychology (55 citations), Ophthalmology (86 citations) and Family Practice (20 citations). Fred Hersch has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paisan Ruamviboonsuk, Lauren Wilcox, Elizabeth Baylor, Laura Vardoulakis, David Peiris, Lis Neubeck, Julie Redfern, Genevieve Coorey, Emma Heeley 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 ANZ Journal of Surgery.

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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