Weston Roda

8 papers receiving 444 citations

Weston Roda's Hit Papers

Why is it difficult to accurately predict the COVID-19 epidemic? 2020 · 393 citations
3930+2+4Years since publication100200300

Peers

Weston Roda
Comparison fields: 5 of 70
  • Modeling and Simulation 348
  • Infectious Diseases 156
  • Virology 34
  • Economics and Econometrics 127
  • Public Health, Environmental and Occupational Health 75
Replace Swarup Sarkar with:
Swarup Sarkar India
Marie Varughese Canada
Wongyeong Choi South Korea
Jayanta Mondal India
Rachel Waema Mbogo Kenya
Paul Birrell United Kingdom
Bruce Pell United States
Anupam Khatua India
Sk Shahid Nadim India
Yiseul Lee United States
Weston Roda relative to Swarup Sarkar India Swarup Sarkar's profile →
Citations per field
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Swarup Sarkar · 1×
Citations per year

Countries citing papers authored by Weston Roda

Since Specialization
Citations

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

Fields of papers citing papers by Weston Roda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Weston Roda, 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 Weston Roda Line = papers co-authored together Weston Roda links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Why is it difficult to accurately predict the COVID-19 epidemic?
Hit paper breakdown →
2020393
2 201923
3 202016
4 20177
5 20216
6 20213
7 20223
8 20251

About Weston Roda

Weston Roda is a scholar working on Infectious Diseases, Virology, Epidemiology, Modeling and Simulation and Genetics, having authored 8 papers that have together received 452 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (3 papers), HIV Research and Treatment (3 papers), COVID-19 epidemiological studies (2 papers), Neurogenetic and Muscular Disorders Research (1 paper), Misinformation and Its Impacts (1 paper), Mosquito-borne diseases and control (1 paper), Control Systems and Identification (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Modeling and Simulation (348 citations), Infectious Diseases (156 citations), Virology (34 citations), Economics and Econometrics (127 citations) and Public Health, Environmental and Occupational Health (75 citations). Weston Roda has collaborated with scholars based in Canada, Saudi Arabia and China. Frequent co-authors include Michael Y. Li, Marie Varughese, Christopher Power, Maoyin Li, Gregg Blevins, Benjamin B. Gelman, Fabrizio Giuliani, Eugene L. Asahchop, Kenneth W. Witwer and Qun Cheng. Their work appears in journals such as Infectious Disease Modelling, Bulletin of Mathematical Biology, Current Opinion in Virology, BMC Neurology and Orphanet Journal of Rare Diseases.

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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