Alex Riolexus Ario
- Infectious Diseases top 2%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology
- Modeling and Simulation top 1%
- Virology top 5%
- Co-authors
- Lilian BulageJoseph K. B. MatovuBenon KwesigaBao‐Ping ZhuRhoda K. WanyenzeDaniel KadoberaGerald PandeFred Nsubuga
- Topics
- Viral Infections and Outbreaks Research (30 papers)COVID-19 epidemiological studies (24 papers)Zoonotic diseases and public health (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- UgandaUnited StatesUnited Kingdom
In The Last Decade
Alex Riolexus Ario
111 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Infectious Diseases 632
- Public Health, Environmental and Occupational Health 312
- Epidemiology 246
- Modeling and Simulation 212
- Virology 178
Countries citing papers authored by Alex Riolexus Ario
This map shows the geographic impact of Alex Riolexus Ario'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 Alex Riolexus Ario with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Riolexus Ario more than expected).
Fields of papers citing papers by Alex Riolexus Ario
This network shows the impact of papers produced by Alex Riolexus Ario. 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 Alex Riolexus Ario. The network helps show where Alex Riolexus Ario may publish in the future.
Co-authorship network of co-authors of Alex Riolexus Ario
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Riolexus Ario. A scholar is included among the top collaborators of Alex Riolexus Ario based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alex Riolexus Ario. Alex Riolexus Ario is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 58 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | 12 | |
| 18 | 35 | |
| 19 | 38 | |
| 20 | 5 |
About Alex Riolexus Ario
Alex Riolexus Ario is a scholar working on Modeling and Simulation, Infectious Diseases and Endocrinology, having authored 142 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (30 papers), COVID-19 epidemiological studies (24 papers) and Zoonotic diseases and public health (22 papers). The work is most often cited by research in Modeling and Simulation (212 citations), Virology (178 citations) and Infectious Diseases (632 citations). Alex Riolexus Ario has collaborated with scholars based in Uganda, United States and United Kingdom. Frequent co-authors include Lilian Bulage, Joseph K. B. Matovu, Benon Kwesiga, Bao‐Ping Zhu, Rhoda K. Wanyenze, Daniel Kadobera, Gerald Pande, Fred Nsubuga, Christine Kihembo and Victoria Nankabirwa. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.