Robyn M. Stuart

2.8k citations
53 papers · 960 · h-index 16

Impact in

Papers in

Robyn M. Stuart

47 papers receiving 924 citations

Peers

Robyn M. Stuart
Comparison fields: 5 of 113
  • Modeling and Simulation 314
  • Infectious Diseases 247
  • Health 42
  • Epidemiology 125
  • Statistical and Nonlinear Physics 46
Replace Hamada S. Badr with:
Hamada S. Badr United States
Sunmi ‍Lee South Korea
Flávio Codeço Coelho Brazil
Katsushi Kagaya Japan
Teresa K. Yamana United States
Sandip Mandal India
Paula Moraga Saudi Arabia
Alexander Watts Canada
Jude Dzevela Kong Canada
David M. Brazel United States
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Citations per field
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Citations per year

Countries citing papers authored by Robyn M. Stuart

Since Specialization
Citations

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

Fields of papers citing papers by Robyn M. Stuart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robyn M. Stuart. 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 Robyn M. Stuart. The network helps show where Robyn M. Stuart may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020221
2 201481
3 202178
4 201572
5 202050
6 202038
7 201834
8 201727
9 202125
10 202125
11 201824
12 201824
13 202121
14 202219
15 201817
16 202116
17 201915
18 201614
19 201813
20 202013

About Robyn M. Stuart

Robyn M. Stuart is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Economics and Econometrics and Ecology, Evolution, Behavior and Systematics, having authored 53 papers that have together received 960 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (15 papers), HIV/AIDS Research and Interventions (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), HIV/AIDS Impact and Responses (4 papers), HIV, Drug Use, Sexual Risk (4 papers), Tardigrade Biology and Ecology (3 papers), Biocrusts and Microbial Ecology (3 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Modeling and Simulation (314 citations), Infectious Diseases (247 citations), Health (42 citations), Epidemiology (125 citations) and Statistical and Nonlinear Physics (46 citations). Robyn M. Stuart has collaborated with scholars based in Denmark, Australia and United States. Frequent co-authors include Cliff C. Kerr, Dina Mistry, Jasmina Panovska‐Griffiths, Daniel J. Klein, Russell Viner, Chris Bonell, Gary Froyland, Erik van Sebille, David P. Wilson and Romesh Abeysuriya. Their work appears in journals such as Scientific Reports, Journal of the International AIDS Society, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, AIDS and BMC Public 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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