Ben C. Lambert
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- Mosquito-borne diseases and control
- Malaria Research and Control
Papers in
-
- COVID-19 epidemiological studies 18
-
- Mosquito-borne diseases and control 16
- Malaria Research and Control 14
- Co-authors
- Anthony E. Magit (4 shared papers)Thomas S. Churcher (10 shared papers)David J. Gavaghan (14 shared papers)Masahiro Hashizume (2 shared papers)Martin J. Robinson (6 shared papers)Lucy A. Taylor (3 shared papers)Jahit Sacarlal (2 shared papers)Chon Lok Lei (6 shared papers)
- Journals
- PLoS Computational Biology (4 papers)PLoS Pathogens (3 papers)Journal of The Royal Society Interface (3 papers)Nature Human Behaviour (3 papers)Scientific Reports (3 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ben C. Lambert
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 137
- Modeling and Simulation 171
- Public Health, Environmental and Occupational Health 416
- Infectious Diseases 273
- Parasitology 24
- Developmental Biology 8
Countries citing papers authored by Ben C. Lambert
This map shows the geographic impact of Ben C. Lambert'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 Ben C. Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben C. Lambert more than expected).
Fields of papers citing papers by Ben C. Lambert
This network shows the impact of papers produced by Ben C. Lambert. 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 Ben C. Lambert. The network helps show where Ben C. Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben C. Lambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 134 | |
| 2 | 2020 | 98 | |
| 3 | 2022 | 78 | |
| 4 | 2017 | 67 | |
| 5 | 2020 | 56 | |
| 6 | 2018 | 50 | |
| 7 | 2019 | 44 | |
| 8 | 2019 | 36 | |
| 9 | 2018 | 35 | |
| 10 | 2021 | 33 | |
| 11 | 2023 | 32 | |
| 12 | 2019 | 31 | |
| 13 | 2023 | 30 | |
| 14 | 2021 | 28 | |
| 15 | 2021 | 26 | |
| 16 | 2020 | 24 | |
| 17 | 2021 | 23 | |
| 18 | 2020 | 22 | |
| 19 | 2022 | 21 | |
| 20 | 2020 | 20 |
About Ben C. Lambert
Ben C. Lambert is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology and Statistics and Probability, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Mosquito-borne diseases and control (16 papers), Malaria Research and Control (14 papers), Influenza Virus Research Studies (7 papers), Viral Infections and Vectors (6 papers), Viral Infections and Outbreaks Research (6 papers), Evolution and Genetic Dynamics (5 papers) and Insect Pest Control Strategies (4 papers). The work is most often cited by research in Modeling and Simulation (171 citations), Public Health, Environmental and Occupational Health (416 citations), Infectious Diseases (273 citations), Parasitology (24 citations) and Developmental Biology (8 citations). Ben C. Lambert has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Anthony E. Magit, Thomas S. Churcher, David J. Gavaghan, Masahiro Hashizume, Martin J. Robinson, Lucy A. Taylor, Jahit Sacarlal, Chon Lok Lei, Kenji Shibuya and Gregor J. Devine. Their work appears in journals such as PLoS Computational Biology, PLoS Pathogens, Journal of The Royal Society Interface, Nature Human Behaviour 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.