Ben Lambert
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 14
-
- Mosquito-borne diseases and control 14
- Malaria Research and Control 12
- Co-authors
- Anthony MagitThomas S. ChurcherDavid J. GavaghanMasahiro HashizumeMartin RobinsonLucy A. TaylorChon Lok LeiMaggy T. Sikulu-Lord
- Journals
- PLoS Computational Biology (4 papers)Journal of The Royal Society Interface (3 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)Scientific Reports (2 papers)BMJ Open (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ben Lambert
50 papers receiving 707 citations
Peers
Comparison fields: 5 of 143
- Modeling and Simulation 122
- Infectious Diseases 181
- Public Health, Environmental and Occupational Health 266
- Developmental Biology 7
- Health 25
Countries citing papers authored by Ben Lambert
This map shows the geographic impact of Ben 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 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 Lambert more than expected).
Fields of papers citing papers by Ben Lambert
This network shows the impact of papers produced by Ben 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 Lambert. The network helps show where Ben Lambert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 12 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 20 | |
| 18 | 2020 | 11 | |
| 19 | 2019 | 3 | |
| 20 | 2011 | 1 |
About Ben Lambert
Ben Lambert is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Infectious Diseases, Statistics and Probability and Small Animals, having authored 59 papers that have together received 719 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (14 papers), Mosquito-borne diseases and control (14 papers), Malaria Research and Control (12 papers), Influenza Virus Research Studies (6 papers), Evolution and Genetic Dynamics (6 papers), Viral Infections and Vectors (4 papers), Animal Behavior and Welfare Studies (3 papers) and Insect Pest Control Strategies (3 papers). The work is most often cited by research in Modeling and Simulation (122 citations), Infectious Diseases (181 citations), Public Health, Environmental and Occupational Health (266 citations), Developmental Biology (7 citations) and Health (25 citations). Ben Lambert has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Anthony Magit, Thomas S. Churcher, David J. Gavaghan, Masahiro Hashizume, Martin Robinson, Lucy A. Taylor, Chon Lok Lei, Maggy T. Sikulu-Lord, Floyd E. Dowell and Jahit Sacarlal. Their work appears in journals such as PLoS Computational Biology, Journal of The Royal Society Interface, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Scientific Reports and BMJ Open.
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.