Peter Clement
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Vibrio bacteria research studies
Papers in
-
- Viral Infections and Outbreaks Research 7
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- COVID-19 epidemiological studies 4
- Co-authors
- Alex Gasasira (5 shared papers)Wondimagegnehu Alemu (2 shared papers)Isabelle Devaux (2 shared papers)Ifeanyi Okudo (3 shared papers)Emmanuel Musa (2 shared papers)Lorenzo Pezzoli (2 shared papers)Chikwe Ihekweazu (3 shared papers)Moise Chi Ngwa (2 shared papers)
- Journals
- BMJ Global Health (2 papers)PLoS Currents (1 paper)International Journal of Infectious Diseases (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)Plant Disease (1 paper)
- Partner nations
- United StatesLiberiaNigeria
In The Last Decade
Peter Clement
10 papers receiving 152 citations
Peers
Comparison fields: 5 of 40
- Modeling and Simulation 29
- Endocrinology 28
- Infectious Diseases 74
- Emergency Medical Services 18
- Health 17
Countries citing papers authored by Peter Clement
This map shows the geographic impact of Peter Clement'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 Clement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Clement more than expected).
Fields of papers citing papers by Peter Clement
This network shows the impact of papers produced by Peter Clement. 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 Clement. The network helps show where Peter Clement may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Clement, 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 | 2017 | 40 | |
| 2 | 2020 | 32 | |
| 3 | 2015 | 23 | |
| 4 | The first eight months of COVID-19 pandemic in three West African countries: leveraging lessons learned from responses to the 2014-2016 Ebola virus disease outbreak | 2021 | 17 |
| 5 | 2020 | 16 | |
| 6 | 2019 | 11 | |
| 7 | 2007 | 9 | |
| 8 | 2018 | 4 | |
| 9 | 2015 | 4 | |
| 10 | 2020 | 1 | |
| 11 | 2024 | 0 |
About Peter Clement
Peter Clement is a scholar working on Infectious Diseases, Modeling and Simulation, Endocrinology, Emergency Medical Services and Health, having authored 11 papers that have together received 157 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (7 papers), COVID-19 epidemiological studies (4 papers), Disaster Response and Management (3 papers), Vaccine Coverage and Hesitancy (2 papers), Vibrio bacteria research studies (2 papers), Plant and Fungal Interactions Research (1 paper), Plant Virus Research Studies (1 paper) and COVID-19 Digital Contact Tracing (1 paper). The work is most often cited by research in Modeling and Simulation (29 citations), Endocrinology (28 citations), Infectious Diseases (74 citations), Emergency Medical Services (18 citations) and Health (17 citations). Peter Clement has collaborated with scholars based in United States, Liberia and Nigeria. Frequent co-authors include Alex Gasasira, Wondimagegnehu Alemu, Isabelle Devaux, Ifeanyi Okudo, Emmanuel Musa, Lorenzo Pezzoli, Chikwe Ihekweazu, Moise Chi Ngwa, George Sie Williams and Thomas Nagbe. Their work appears in journals such as BMJ Global Health, PLoS Currents, International Journal of Infectious Diseases, MMWR Morbidity and Mortality Weekly Report and Plant Disease.
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.