Sean Barnes

41 papers receiving 1.2k citations

Sean Barnes's Hit Papers

Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index 2017 · 270 citations
2700+3+6Years since publication50100150200250

Peers

Sean Barnes
Comparison fields: 5 of 136
  • Health Informatics 47
  • Applied Microbiology and Biotechnology 55
  • Emergency Medicine 182
  • Emergency Medical Services 88
  • Molecular Medicine 56
Replace Karoline Freeman with:
Karoline Freeman United Kingdom
Dalia Dawoud United Kingdom
Qingfeng Sun China
Eneida A. Mendonça United States
Jana Hoffman United States
Kristina E. Rudd United States
Wan‐Ting Hsu Taiwan
Cara O’Brien United States
María Sanjurjo‐Sáez Spain
Bruce A. Friedman United States
Sean Barnes relative to Karoline Freeman United Kingdom Karoline Freeman's profile →
Citations per field
00.5×10×14×
Karoline Freeman · 1×
Citations per year

Countries citing papers authored by Sean Barnes

Since Specialization
Citations

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

Fields of papers citing papers by Sean Barnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index
Hit paper breakdown →
2017270
2 2015268
3 201591
4 200683
5 201465
6 202158
7 201742
8 200539
9 201135
10 201031
11 201929
12 202028
13 201726
14 201925
15 202223
16 202015
17 201715
18 20189
19 20199
20 20168

About Sean Barnes

Sean Barnes is a scholar working on Epidemiology, Economics and Econometrics, Modeling and Simulation, Emergency Medicine and Infectious Diseases, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Emergency and Acute Care Studies (5 papers), Sports Analytics and Performance (4 papers), Infection Control in Healthcare (4 papers), Complex Network Analysis Techniques (4 papers), Healthcare Policy and Management (3 papers), Antibiotic Use and Resistance (3 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Health Informatics (47 citations), Applied Microbiology and Biotechnology (55 citations), Emergency Medicine (182 citations), Emergency Medical Services (88 citations) and Molecular Medicine (56 citations). Sean Barnes has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Scott Levin, Eric Hamrock, Matthew Toerper, Bruce Golden, Anthony D. Harris, Jeremiah S. Hinson, Heather Gardner, Gabor D. Kelen, Andrea Dugas and Eric Jonasch. Their work appears in journals such as Infection Control and Hospital Epidemiology, Journal of the American Medical Informatics Association, Annals of Emergency Medicine, INFORMS journal on computing and American Journal Of Pathology.

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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