Matthew Toerper
- Emergency Medicine top 2%
- Epidemiology
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Health Information Management top 2%
- Co-authors
- Scott LevinEric HamrockSean BarnesAndrea DugasThomas D. KirschGabor D. KelenJeremiah S. HinsonHeather Gardner
- Topics
- Emergency and Acute Care Studies (8 papers)Sepsis Diagnosis and Treatment (4 papers)Healthcare Policy and Management (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Medical Informatics AssociationAnnals of Emergency Medicine
- Partner nations
- United States
In The Last Decade
Matthew Toerper
11 papers receiving 557 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Emergency Medicine 342
- Epidemiology 190
- Artificial Intelligence 162
- Economics and Econometrics 84
- Health Information Management 83
Countries citing papers authored by Matthew Toerper
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 26 | |
| 6 | 25 | |
| 7 | 7 | |
| 8 | Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Indexbreakdown → | 264 |
| 9 | 36 | |
| 10 | 20 | |
| 11 | 96 | |
| 12 | 89 |
About Matthew Toerper
Matthew Toerper is a scholar working on Emergency Medicine, Health Informatics and Geriatrics and Gerontology, having authored 12 papers that have together received 584 indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (8 papers), Sepsis Diagnosis and Treatment (4 papers) and Healthcare Policy and Management (3 papers). The work is most often cited by research in Health Informatics (67 citations), Emergency Medicine (342 citations) and Health Information Management (83 citations). Matthew Toerper has collaborated with scholars based in United States. Frequent co-authors include Scott Levin, Eric Hamrock, Sean Barnes, Andrea Dugas, Thomas D. Kirsch, Gabor D. Kelen, Jeremiah S. Hinson, Heather Gardner, Sauleh Siddiqui and Frederick K. Korley. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Annals of Emergency Medicine.
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.