Scott Levin

4.9k total citations · 1 hit paper
104 papers, 3.4k citations indexed

About

Scott Levin is a scholar working on Emergency Medicine, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Scott Levin has authored 104 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Emergency Medicine, 33 papers in Economics and Econometrics and 32 papers in Epidemiology. Recurrent topics in Scott Levin's work include Emergency and Acute Care Studies (51 papers), Healthcare Policy and Management (30 papers) and Healthcare Operations and Scheduling Optimization (21 papers). Scott Levin is often cited by papers focused on Emergency and Acute Care Studies (51 papers), Healthcare Policy and Management (30 papers) and Healthcare Operations and Scheduling Optimization (21 papers). Scott Levin collaborates with scholars based in United States, Chile and Brazil. Scott Levin's co-authors include Dominik Aronsky, Jeremiah S. Hinson, Diego A. Martínez, Daniel J. France, Andrea Dugas, Eric Hamrock, Matthew Toerper, Ian Rees Jones, Gabor D. Kelen and Mehdi Jalalpour and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Scott Levin

100 papers receiving 3.2k citations

Hit Papers

Machine-Learning-Based Electronic Triage More Accurately ... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Scott Levin United States 29 1.6k 849 700 687 503 104 3.4k
Arjun K. Venkatesh United States 34 1.7k 1.0× 642 0.8× 301 0.4× 962 1.4× 1.3k 2.5× 242 4.1k
Debbie Travers United States 25 1.9k 1.2× 737 0.9× 379 0.5× 692 1.0× 656 1.3× 75 2.9k
Patrick W. Brady United States 28 765 0.5× 925 1.1× 608 0.9× 352 0.5× 698 1.4× 120 3.3k
Leora I. Horwitz United States 44 2.8k 1.7× 1.1k 1.3× 884 1.3× 1.3k 1.8× 2.0k 4.0× 159 8.8k
Leigh Kinsman Australia 31 1.4k 0.8× 571 0.7× 772 1.1× 799 1.2× 1.3k 2.6× 107 4.4k
Dominik Aronsky United States 38 4.1k 2.5× 1.1k 1.3× 1.0k 1.4× 2.0k 2.9× 1.4k 2.7× 119 6.3k
Peter Sprivulis Australia 25 1.8k 1.1× 352 0.4× 294 0.4× 823 1.2× 742 1.5× 52 2.7k
James C. Benneyan United States 27 396 0.2× 477 0.6× 566 0.8× 308 0.4× 461 0.9× 119 3.3k
Paul E. Schmidt United Kingdom 28 1.6k 1.0× 1.7k 2.0× 518 0.7× 151 0.2× 382 0.8× 56 3.3k
Neil A. Halpern United States 30 1.0k 0.6× 1.0k 1.2× 485 0.7× 384 0.6× 543 1.1× 123 3.7k

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-authorship network of co-authors of Scott Levin

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Levin. A scholar is included among the top collaborators of Scott Levin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott Levin. Scott Levin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Taylor, Richard A., Jeremiah S. Hinson, Rohit B. Sangal, et al.. (2025). Impact of Artificial Intelligence–Based Triage Decision Support on Emergency Department Care. NEJM AI. 2(3). 9 indexed citations
3.
Hinson, Jeremiah S., et al.. (2024). Accelerated Chest Pain Treatment With Artificial Intelligence–Informed, Risk-Driven Triage. JAMA Internal Medicine. 184(9). 1125–1125. 6 indexed citations
4.
Badaki‐Makun, Oluwakemi, Katherine Fenstermacher, Ann‐Margret Ervin, et al.. (2023). Monocyte Distribution Width as a Diagnostic Marker for Infection. CHEST Journal. 164(1). 101–113. 19 indexed citations
5.
Strauss, Alexandra T., Hannah C. Sung, Harold P. Lehmann, et al.. (2023). Artificial intelligence-based clinical decision support for liver transplant evaluation and considerations about fairness: A qualitative study. Hepatology Communications. 7(10). 10 indexed citations
6.
Teeple, Stephanie, Matthew Toerper, Scott Levin, et al.. (2023). Exploring the impact of missingness on racial disparities in predictive performance of a machine learning model for emergency department triage. JAMIA Open. 6(4). ooad107–ooad107. 2 indexed citations
7.
Cai, J., Grace A. Lin, Katherine E Goodman, et al.. (2023). Modelling interventions and contact networks to reduce the spread of carbapenem-resistant organisms between individuals in the ICU. Journal of Hospital Infection. 136. 1–7. 2 indexed citations
8.
Sun, Chun‐An, Susan Renda, Nisa M. Maruthur, et al.. (2023). Experiences and Perceptions of Telehealth Visits in Diabetes Care During and After the COVID-19 Pandemic Among Adults With Type 2 Diabetes and Their Providers: Qualitative Study. JMIR Diabetes. 8. e44283–e44283. 11 indexed citations
9.
Sun, Chun‐An, Nancy Perrin, Nisa M. Maruthur, et al.. (2022). Predictors of Follow-Up Appointment No-Shows Before and During COVID Among Adults with Type 2 Diabetes. Telemedicine Journal and e-Health. 29(6). 851–865. 3 indexed citations
10.
Strauss, Alexandra T., Eili Klein, Matthew Toerper, et al.. (2021). A Patient Outcomes–Driven Feedback Platform for Emergency Medicine Clinicians: Human-Centered Design and Usability Evaluation of Linking Outcomes Of Patients (LOOP). JMIR Human Factors. 9(1). e30130–e30130. 5 indexed citations
11.
Kane, Erin M., et al.. (2019). Use of Systems Engineering to Design a Hospital Command Center. The Joint Commission Journal on Quality and Patient Safety. 45(5). 370–379. 25 indexed citations
12.
Goodman, Katherine E, Patricia J. Simner, Eili Klein, et al.. (2019). Predicting probability of perirectal colonization with carbapenem-resistant Enterobacteriaceae (CRE) and other carbapenem-resistant organisms (CROs) at hospital unit admission. Infection Control and Hospital Epidemiology. 40(5). 541–550. 33 indexed citations
13.
Martínez, Diego A., Haoxiang Zhang, Felipe Feijoo, et al.. (2019). Prolonged wait time is associated with increased mortality for Chilean waiting list patients with non-prioritized conditions. BMC Public Health. 19(1). 233–233. 32 indexed citations
14.
Hinson, Jeremiah S., Diego A. Martínez, Stephanie Cabral, et al.. (2018). Triage Performance in Emergency Medicine: A Systematic Review. Annals of Emergency Medicine. 74(1). 140–152. 162 indexed citations
15.
Lentz, Brian, Alexander Jenson, Jeremiah S. Hinson, et al.. (2017). Validity of ED: Addressing heterogeneous definitions of over-triage and under-triage. The American Journal of Emergency Medicine. 35(7). 1023–1025. 19 indexed citations
16.
Jalalpour, Mehdi, Scott Levin, Raynard Washington, et al.. (2016). Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits. Journal of Medical Internet Research. 18(6). e175–e175. 30 indexed citations
17.
Tran, Quincy, Jamil D. Bayram, Romsai T. Boonyasai, et al.. (2016). Pediatric Emergency Department Return. Pediatric Emergency Care. 32(8). 570–577. 17 indexed citations
18.
Levin, Scott, James C. Fackler, Christoph U. Lehmann, et al.. (2012). Real-time forecasting of pediatric intensive care unit length of stay using computerized provider orders. Critical Care Medicine. 40(11). 3058–3064. 39 indexed citations
19.
Hoot, Nathan R., Larry J. LeBlanc, Ian Jones, et al.. (2008). Forecasting Emergency Department Crowding by Discrete Event Simulation. SSRN Electronic Journal. 33 indexed citations
20.
Hoot, Nathan R., Larry J. LeBlanc, Ian Rees Jones, et al.. (2008). Forecasting Emergency Department Crowding: A Discrete Event Simulation. Annals of Emergency Medicine. 52(2). 116–125. 169 indexed citations

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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