Raphael Ximenes
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Viral Infections and Vectors
Papers in
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- COVID-19 epidemiological studies 10
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- Viral Infections and Vectors 4
- COVID-19 Clinical Research Studies 3
- Co-authors
- Beate Sander (14 shared papers)David Naimark (8 shared papers)Kali Barrett (7 shared papers)Stephen Mac (7 shared papers)Yasín A. Khan (7 shared papers)Francisco Antônio Bezerra Coutinho (3 shared papers)Annelies Wilder‐Smith (3 shared papers)Eduardo Massad (3 shared papers)
- Journals
- JAMA Network Open (2 papers)Vaccine (2 papers)Canada Communicable Disease Report (2 papers)CMAJ Open (2 papers)BMJ Open (1 paper)
- Partner nations
- CanadaBrazilUnited States
In The Last Decade
Raphael Ximenes
19 papers receiving 250 citations
Peers
Comparison fields: 5 of 62
- Modeling and Simulation 81
- Infectious Diseases 106
- Public Health, Environmental and Occupational Health 108
- Emergency Medical Services 22
- Health 14
Countries citing papers authored by Raphael Ximenes
This map shows the geographic impact of Raphael Ximenes'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 Raphael Ximenes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Ximenes more than expected).
Fields of papers citing papers by Raphael Ximenes
This network shows the impact of papers produced by Raphael Ximenes. 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 Raphael Ximenes. The network helps show where Raphael Ximenes may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael Ximenes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2016 | 29 | |
| 3 | 2021 | 26 | |
| 4 | 2016 | 23 | |
| 5 | 2014 | 20 | |
| 6 | 2021 | 18 | |
| 7 | 2024 | 14 | |
| 8 | 2019 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2025 | 0 |
About Raphael Ximenes
Raphael Ximenes is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Oncology and Epidemiology, having authored 21 papers that have together received 256 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Mosquito-borne diseases and control (7 papers), COVID-19 and healthcare impacts (4 papers), Viral Infections and Vectors (4 papers), Malaria Research and Control (3 papers), Pneumonia and Respiratory Infections (3 papers), COVID-19 Clinical Research Studies (3 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Modeling and Simulation (81 citations), Infectious Diseases (106 citations), Public Health, Environmental and Occupational Health (108 citations), Emergency Medical Services (22 citations) and Health (14 citations). Raphael Ximenes has collaborated with scholars based in Canada, Brazil and United States. Frequent co-authors include Beate Sander, David Naimark, Kali Barrett, Stephen Mac, Yasín A. Khan, Francisco Antônio Bezerra Coutinho, Annelies Wilder‐Smith, Eduardo Massad, Luis Fernández López and Marcelo Nascimento Burattini. Their work appears in journals such as JAMA Network Open, Vaccine, Canada Communicable Disease Report, CMAJ Open and BMJ Open.
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.