Anthony Hauser
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
- COVID-19 Clinical Research Studies
Papers in
-
- HIV/AIDS drug development and treatment 4
- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 1
-
- COVID-19 epidemiological studies 3
- Co-authors
- Julien Riou (10 shared papers)Christian L. Althaus (5 shared papers)Nicola Low (4 shared papers)Garyfallos Konstantinoudis (3 shared papers)Charles C. Margossian (1 shared paper)Michel Jacques Counotte (1 shared paper)Matthias Egger (7 shared papers)Roger D. Kouyos (8 shared papers)
- Journals
- PLoS Computational Biology (4 papers)PLoS Medicine (3 papers)The Lancet Global Health (2 papers)The Journal of Infectious Diseases (1 paper)Epidemiology and Infection (1 paper)
- Partner nations
- SwitzerlandUnited KingdomSouth Africa
In The Last Decade
Anthony Hauser
13 papers receiving 247 citations
Peers
Comparison fields: 5 of 50
- Modeling and Simulation 88
- Infectious Diseases 99
- Virology 18
- Applied Microbiology and Biotechnology 6
- Health 25
Countries citing papers authored by Anthony Hauser
This map shows the geographic impact of Anthony Hauser'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 Anthony Hauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Hauser more than expected).
Fields of papers citing papers by Anthony Hauser
This network shows the impact of papers produced by Anthony Hauser. 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 Anthony Hauser. The network helps show where Anthony Hauser may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Hauser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2022 | 44 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 16 | |
| 6 | 2019 | 12 | |
| 7 | 2023 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2025 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Anthony Hauser
Anthony Hauser is a scholar working on Infectious Diseases, Modeling and Simulation, Health, Toxicology and Mutagenesis, Epidemiology and Health, having authored 16 papers that have together received 248 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Climate Change and Health Impacts (2 papers), Global Health Care Issues (1 paper), Antibiotic Use and Resistance (1 paper), SARS-CoV-2 detection and testing (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Modeling and Simulation (88 citations), Infectious Diseases (99 citations), Virology (18 citations), Applied Microbiology and Biotechnology (6 citations) and Health (25 citations). Anthony Hauser has collaborated with scholars based in Switzerland, United Kingdom and South Africa. Frequent co-authors include Julien Riou, Christian L. Althaus, Nicola Low, Garyfallos Konstantinoudis, Charles C. Margossian, Michel Jacques Counotte, Matthias Egger, Roger D. Kouyos, Gilles Wandeler and Martina L. Reichmuth. Their work appears in journals such as PLoS Computational Biology, PLoS Medicine, The Lancet Global Health, The Journal of Infectious Diseases and Epidemiology and Infection.
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.