Austin Porter

43 papers receiving 391 citations

Peers

Austin Porter
Comparison fields: 5 of 75
  • Modeling and Simulation 22
  • Health 35
  • Emergency Medicine 34
  • Infectious Diseases 49
  • Physiology 40
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Lucas Marinacci United States
Sandi J. Lane United States
Panagis Galiatsatos United States
Eilidh Fletcher United Kingdom
Elizabeth A. Lancet United States
Maren Dreier Germany
Sundus Iftikhar Pakistan
Wojciech Stefan Zgliczyński Poland
Oluseyi Ademola Adejumo Nigeria
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Austin Porter relative to Lucas Marinacci United States Lucas Marinacci's profile →
Citations per field
00.5×4.9×
Lucas Marinacci · 1×
Citations per year

Countries citing papers authored by Austin Porter

Since Specialization
Citations

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

Fields of papers citing papers by Austin Porter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202135
2 202134
3 202226
4 202121
5 201821
6 201719
7 201518
8 201416
9 202115
10 201813
11 201413
12 202113
13 202012
14 201812
15 201712
16 202212
17 201811
18 202211
19 199910
20 20218

About Austin Porter

Austin Porter is a scholar working on Health, Clinical Psychology, General Health Professions, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 50 papers that have together received 399 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), Opioid Use Disorder Treatment (5 papers), Trauma and Emergency Care Studies (4 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 and Mental Health (3 papers), Food Security and Health in Diverse Populations (3 papers) and Infection Control and Ventilation (2 papers). The work is most often cited by research in Modeling and Simulation (22 citations), Health (35 citations), Emergency Medicine (34 citations), Infectious Diseases (49 citations) and Physiology (40 citations). Austin Porter has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Mohammed S. Orloff, Pebbles Fagan, Ummugul Bezirhan, Namvar Zohoori, John Recicar, R. Todd Maxson, Corey Montgomery, Saleema A. Karim, Maaike Cima and Kevin W. Sexton. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, The Journal of Arthroplasty, Preventing Chronic Disease, Tobacco Induced Diseases and Vaccine.

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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