Nathaniel Hupert

77 papers receiving 1.4k citations

Peers

Nathaniel Hupert
Comparison fields: 5 of 128
  • Modeling and Simulation 293
  • Emergency Medical Services 302
  • Medical Laboratory Technology 40
  • Infectious Diseases 219
  • Emergency Medicine 95
Replace James P. Phillips with:
James P. Phillips United States
Elisa F Long United States
Robert W Aldridge United Kingdom
Y. Tony Yang United States
Hui Jiang China
Nathaniel Osgood Canada
Ross D. Silverman United States
Christopher Nelson United States
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00.5×10×13.3×
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Countries citing papers authored by Nathaniel Hupert

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Hupert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200278
2 201067
3 201065
4 202063
5 201657
6 200451
7 202049
8 200946
9 201445
10 200744
11 201142
12 201142
13 200741
14 201040
15 202039
16 201339
17 202138
18 200335
19 201934
20 201132

About Nathaniel Hupert

Nathaniel Hupert is a scholar working on Modeling and Simulation, Infectious Diseases, Emergency Medical Services, Molecular Biology and Epidemiology, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Disaster Response and Management (10 papers), Bacillus and Francisella bacterial research (10 papers), Influenza Virus Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Emergency and Acute Care Studies (4 papers), Vaccine Coverage and Hesitancy (4 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Modeling and Simulation (293 citations), Emergency Medical Services (302 citations), Medical Laboratory Technology (40 citations), Infectious Diseases (219 citations) and Emergency Medicine (95 citations). Nathaniel Hupert has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alvin I. Mushlin, Mark Callahan, Babak Pourbohloul, Wei Xiong, Lauren Ancel Meyers, Michelle M. Robertson, Jeffrey N. Katz, Benjamin C. Amick, Justin D. Silverman and Alex Washburne. Their work appears in journals such as PLoS ONE, Medical Decision Making, Osteoarthritis and Cartilage, Clinical Infectious Diseases and Annals of Internal 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.

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