Scott Levin

5.1k citations
104 papers · 3.4k · 2 hit papers · h-index 29

Impact in

Papers in

    • Emergency and Acute Care Studies 31
    • Trauma and Emergency Care Studies 5
    • Sepsis Diagnosis and Treatment 9
    • Data-Driven Disease Surveillance 6

Scott Levin

101 papers receiving 3.3k citations

Scott Levin's Hit Papers

Triage Performance in Emergency Medicine: A Systematic Review 2018 · 173 citations
1730+3+6Years since publication50100150200250

Peers

Scott Levin
Comparison fields: 5 of 157
  • Emergency Medicine 1.2k
  • Emergency Medical Services 500
  • Health Informatics 100
  • Health Information Management 184
  • Modeling and Simulation 101
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Citations per field
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Citations per year

Countries citing papers authored by Scott Levin

Since Specialization
Citations

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

Fields of papers citing papers by Scott Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009271
2
Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index
Hit paper breakdown →
2017270
3 2013267
4
Triage Performance in Emergency Medicine: A Systematic Review
Hit paper breakdown →
2018173
5 2008169
6 2005157
7 2018122
8 2017105
9 2009104
10 2020101
11 201697
12 201591
13 200684
14 201380
15 201849
16 200148
17 201646
18 200745
19 201842
20 201239

About Scott Levin

Scott Levin is a scholar working on Emergency Medicine, Epidemiology, Emergency Medical Services, Economics and Econometrics and Artificial Intelligence, having authored 104 papers that have together received 3.4k indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (31 papers), Healthcare Operations and Scheduling Optimization (15 papers), Healthcare Policy and Management (12 papers), Sepsis Diagnosis and Treatment (9 papers), Data-Driven Disease Surveillance (6 papers), Machine Learning in Healthcare (6 papers), Trauma and Emergency Care Studies (5 papers) and Patient Safety and Medication Errors (4 papers). The work is most often cited by research in Emergency Medicine (1.2k citations), Emergency Medical Services (500 citations), Health Informatics (100 citations), Health Information Management (184 citations) and Modeling and Simulation (101 citations). Scott Levin has collaborated with scholars based in United States, Chile and Brazil. Frequent co-authors include Dominik Aronsky, Jeremiah S. Hinson, Matthew Toerper, Diego A. Martínez, Daniel J. France, Andrea Dugas, Eric Hamrock, Ian Rees Jones, Mehdi Jalalpour and Gabor D. Kelen. Their work appears in journals such as Annals of Emergency Medicine, Journal of the American Medical Informatics Association, Open Forum Infectious Diseases, Academic Emergency Medicine and PLoS ONE.

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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