Peter Beckwith
Impact in
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- COVID-19 epidemiological studies
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- Tuberculosis Research and Epidemiology
- Infection Control in Healthcare
- HIV/AIDS Research and Interventions
Papers in
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- Tuberculosis Research and Epidemiology 2
- COVID-19 Clinical Research Studies 1
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- Infection Control and Ventilation 2
- Co-authors
- Alison D. Grant (4 shared papers)Aaron S Karat (4 shared papers)Nicky McCreesh (3 shared papers)Tom Yates (3 shared papers)Arminder Deol (3 shared papers)Richard G. White (2 shared papers)Karin Diaconu (1 shared paper)Karina Kielmann (2 shared papers)
- Journals
- BMJ Global Health (1 paper)PLoS ONE (1 paper)American Journal of Tropical Medicine and Hygiene (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Peter Beckwith
4 papers receiving 28 citations
Peers
Comparison fields: 5 of 17
- Modeling and Simulation 12
- Infectious Diseases 14
- Pulmonary and Respiratory Medicine 16
- Emergency Medicine 4
- Critical Care and Intensive Care Medicine 2
Countries citing papers authored by Peter Beckwith
This map shows the geographic impact of Peter Beckwith'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 Peter Beckwith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Beckwith more than expected).
Fields of papers citing papers by Peter Beckwith
This network shows the impact of papers produced by Peter Beckwith. 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 Peter Beckwith. The network helps show where Peter Beckwith may publish in the future.
Co-authors
The 19 scholars most cited alongside Peter Beckwith, 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 | 2021 | 12 | |
| 2 | 2021 | 11 | |
| 3 | 2021 | 4 | |
| 4 | 2022 | 1 |
About Peter Beckwith
Peter Beckwith is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Modeling and Simulation, Surgery and Critical Care and Intensive Care Medicine, having authored 4 papers that have together received 28 indexed citations. Recurring topics across this work include Infection Control and Ventilation (2 papers), COVID-19 epidemiological studies (2 papers), Tuberculosis Research and Epidemiology (2 papers), Diagnosis and treatment of tuberculosis (1 paper), Nosocomial Infections in ICU (1 paper), Emergency and Acute Care Studies (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Modeling and Simulation (12 citations), Infectious Diseases (14 citations), Pulmonary and Respiratory Medicine (16 citations), Emergency Medicine (4 citations) and Critical Care and Intensive Care Medicine (2 citations). Peter Beckwith has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Alison D. Grant, Aaron S Karat, Nicky McCreesh, Tom Yates, Arminder Deol, Richard G. White, Karin Diaconu, Karina Kielmann, Kathy Baisley and Rein M G J Houben. Their work appears in journals such as BMJ Global Health, PLoS ONE, American Journal of Tropical Medicine and Hygiene and SHILAP Revista de lepidopterología.
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.