Alexander D. Becker
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 9
-
- Influenza Virus Research Studies 5
- Virology and Viral Diseases 2
- Co-authors
- Bryan T. Grenfell (6 shared papers)C. Jessica E. Metcalf (2 shared papers)Ian Miller (1 shared paper)Joel O. Abraham (1 shared paper)Hassan Masoud (1 shared paper)Michael Shelley (1 shared paper)Leif Ristroph (1 shared paper)Morgan P. Kain (2 shared papers)
- Journals
- PLoS ONE (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)Nature Communications (1 paper)Nature Medicine (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Alexander D. Becker
11 papers receiving 694 citations
Peers
Comparison fields: 5 of 121
- Modeling and Simulation 195
- Infectious Diseases 136
- Health, Toxicology and Mutagenesis 85
- Condensed Matter Physics 70
- Health 43
Countries citing papers authored by Alexander D. Becker
This map shows the geographic impact of Alexander D. Becker'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 Alexander D. Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander D. Becker more than expected).
Fields of papers citing papers by Alexander D. Becker
This network shows the impact of papers produced by Alexander D. Becker. 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 Alexander D. Becker. The network helps show where Alexander D. Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander D. Becker, 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 | 327 | |
| 2 | 2015 | 117 | |
| 3 | 2021 | 108 | |
| 4 | 2020 | 47 | |
| 5 | 2021 | 31 | |
| 6 | 2017 | 29 | |
| 7 | 2016 | 17 | |
| 8 | 2019 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 1 |
About Alexander D. Becker
Alexander D. Becker is a scholar working on Modeling and Simulation, Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases and Computer Networks and Communications, having authored 11 papers that have together received 703 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (5 papers), Zoonotic diseases and public health (2 papers), Virology and Viral Diseases (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Infection Control and Ventilation (1 paper), Urban Green Space and Health (1 paper) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Modeling and Simulation (195 citations), Infectious Diseases (136 citations), Health, Toxicology and Mutagenesis (85 citations), Condensed Matter Physics (70 citations) and Health (43 citations). Alexander D. Becker has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Bryan T. Grenfell, C. Jessica E. Metcalf, Ian Miller, Joel O. Abraham, Hassan Masoud, Michael Shelley, Leif Ristroph, Morgan P. Kain, Marissa L. Childs and Erin A. Mordecai. Their work appears in journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences, Nature Communications, Nature Medicine and PLoS Computational Biology.
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.