Austin Carter

9 papers receiving 244 citations

Peers

Austin Carter
Comparison fields: 5 of 76
  • Modeling and Simulation 64
  • Health 74
  • Infectious Diseases 57
  • Health Informatics 2
  • Epidemiology 47
Replace Christophe Luhata with:
Christophe Luhata Democratic Republic of the Congo
Medha Mathur India
Matheus Negri Boschiero Brazil
Rugang Liu China
Emma Castro United States
Iris Cheng United Kingdom
Richard Makurumidze Zimbabwe
Melissa Cumming United States
Rebecca Zimba United States
Ibrahim Dadari United States
Austin Carter relative to Christophe Luhata Democratic Republic of the Congo Christophe Luhata's profile →
Citations per field
00.5×12×
Christophe Luhata · 1×
Citations per year

Countries citing papers authored by Austin Carter

Since Specialization
Citations

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

Fields of papers citing papers by Austin Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202173
2 202364
3 197039
4 202127
5 201924
6 202016
7 20203
8
Measuring Trade Advantages of the Qualifying Industrial Zones Program of Jordan and Egypt Offered by the United States for Having Signed Peace Treaties with Israel
20151
9 20221
10 20240

About Austin Carter

Austin Carter is a scholar working on Modeling and Simulation, Infectious Diseases, Molecular Biology, Political Science and International Relations and Health, having authored 10 papers that have together received 248 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Vaccine Coverage and Hesitancy (1 paper), Child Nutrition and Water Access (1 paper), Spacecraft Design and Technology (1 paper), COVID-19 and healthcare impacts (1 paper), Children's Physical and Motor Development (1 paper), Global trade and economics (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Modeling and Simulation (64 citations), Health (74 citations), Infectious Diseases (57 citations), Health Informatics (2 citations) and Epidemiology (47 citations). Austin Carter has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include William Msemburi, So Yoon Sim, Katy A. M. Gaythorpe, Ann Lindstrand, Raymond Hutubessy, Philipp Lambach, James K. Collins, Stephen S Lim, Ryan M Barber and Emmanuela Gakidou. Their work appears in journals such as Nature Communications, Malaria Journal, The Journal of Organic Chemistry, Frontiers in Physiology and BMJ Global Health.

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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