Matthew Toerper

833 total citations
17 papers, 525 citations indexed

About

Matthew Toerper is a scholar working on Emergency Medicine, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthew Toerper has authored 17 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Emergency Medicine, 4 papers in Epidemiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthew Toerper's work include Emergency and Acute Care Studies (6 papers), Sepsis Diagnosis and Treatment (4 papers) and Antibiotic Use and Resistance (2 papers). Matthew Toerper is often cited by papers focused on Emergency and Acute Care Studies (6 papers), Sepsis Diagnosis and Treatment (4 papers) and Antibiotic Use and Resistance (2 papers). Matthew Toerper collaborates with scholars based in United States and Brazil. Matthew Toerper's co-authors include Jeremiah S. Hinson, Scott Levin, Eili Klein, Richard E. Rothman, Derek M. Fine, Michael R. Ehmann, Elliot K. Fishman, Diego A. Martínez, James J. Scheulen and Sarah A. Stewart de Ramirez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of the American Medical Informatics Association.

In The Last Decade

Matthew Toerper

17 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Toerper United States 10 161 112 99 75 61 17 525
Shu‐Xia Li United States 17 149 0.9× 67 0.6× 199 2.0× 83 1.1× 19 0.3× 42 983
Melissa Martin United States 16 55 0.3× 134 1.2× 86 0.9× 196 2.6× 58 1.0× 41 808
Stephan Russ United States 14 220 1.4× 21 0.2× 87 0.9× 65 0.9× 37 0.6× 34 584
Michael Simonov United States 16 48 0.3× 167 1.5× 81 0.8× 39 0.5× 23 0.4× 47 790
Kajiru Kilonzo Tanzania 15 62 0.4× 259 2.3× 147 1.5× 19 0.3× 53 0.9× 65 669
Nirav Shah United States 14 69 0.4× 60 0.5× 253 2.6× 29 0.4× 14 0.2× 38 627
Jeffrey O. Greenberg United States 11 40 0.2× 40 0.4× 102 1.0× 75 1.0× 31 0.5× 18 581
Nicolas Garin Switzerland 13 152 0.9× 45 0.4× 466 4.7× 43 0.6× 35 0.6× 32 775
Payal Patel United States 10 26 0.2× 71 0.6× 76 0.8× 39 0.5× 120 2.0× 22 779
Steven J. Steindel United States 18 75 0.5× 43 0.4× 134 1.4× 54 0.7× 95 1.6× 42 1.2k

Countries citing papers authored by Matthew Toerper

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Toerper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Toerper

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Toerper. A scholar is included among the top collaborators of Matthew Toerper 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 Matthew Toerper. Matthew Toerper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Hinson, Jeremiah S., Eili Klein, Oluwakemi Badaki‐Makun, et al.. (2024). Multisite development and validation of machine learning models to predict severe outcomes and guide decision‐making for emergency department patients with influenza. SHILAP Revista de lepidopterología. 5(2). e13117–e13117. 2 indexed citations
2.
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
3.
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
4.
Hinson, Jeremiah S., Oluwakemi Badaki‐Makun, Matthew Toerper, et al.. (2022). Monocyte distribution width as part of a broad pragmatic sepsis screen in the emergency department. SHILAP Revista de lepidopterología. 3(2). e12679–e12679. 20 indexed citations
5.
Badaki‐Makun, Oluwakemi, Scott Levin, Matthew Toerper, et al.. (2022). Monocyte distribution width as a pragmatic screen for SARS-CoV-2 or influenza infection. Scientific Reports. 12(1). 21528–21528. 4 indexed citations
6.
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
7.
Klein, Eili, Jeremiah S. Hinson, Katie K Tseng, et al.. (2019). 577. The Role of Healthcare Worker-Mediated Contact Networks in the Transmission of Vancomycin-Resistant Enterococci. Open Forum Infectious Diseases. 6(Supplement_2). S272–S273. 1 indexed citations
8.
Levin, Scott, et al.. (2018). Linking Electronic Health Record and Trauma Registry Data: Assessing the Value of Probabilistic Linkage. Methods of Information in Medicine. 57(05/06). 261–269. 8 indexed citations
9.
Hinson, Jeremiah S., Diego A. Martínez, Matthew Toerper, et al.. (2018). Accuracy of emergency department triage using the Emergency Severity Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis. International Journal of Emergency Medicine. 11(1). 3–3. 118 indexed citations
10.
Levin, Scott, et al.. (2018). Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data. Journal of the American Medical Informatics Association. 26(6). 506–515. 24 indexed citations
11.
Hinson, Jeremiah S., Michael R. Ehmann, Derek M. Fine, et al.. (2017). Risk of Acute Kidney Injury After Intravenous Contrast Media Administration. Annals of Emergency Medicine. 69(5). 577–586.e4. 177 indexed citations
12.
Woods-Hill, Charlotte, James C. Fackler, Kristen Nelson McMillan, et al.. (2016). Association of a Clinical Practice Guideline With Blood Culture Use in Critically Ill Children. JAMA Pediatrics. 171(2). 157–157. 46 indexed citations
13.
Singman, Eric L., et al.. (2015). Electronic Tracking of Patients in an Outpatient Ophthalmology Clinic to Improve Efficient Flow. Quality Management in Health Care. 24(4). 190–199. 9 indexed citations
14.
Toerper, Matthew, et al.. (2015). Cardiac catheterization laboratory inpatient forecast tool: a prospective evaluation. Journal of the American Medical Informatics Association. 23(e1). e49–e57. 12 indexed citations
15.
Levin, Scott, et al.. (2015). Effects of Fully Accessible Magnetic Resonance Imaging in the Emergency Department. Academic Emergency Medicine. 22(6). 741–749. 25 indexed citations
16.
Toerper, Matthew, et al.. (2014). Medication Waste Reduction in Pediatric Pharmacy Batch Processes. The Journal of Pediatric Pharmacology and Therapeutics. 19(2). 111–117. 15 indexed citations
17.
Bayram, Jamil D., Lauren Sauer, Christina L. Catlett, et al.. (2013). Critical Resources for Hospital Surge Capacity: An Expert Consensus Panel. PLoS Currents. 5. 27 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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