Andrew J. Tatem
- Modeling and Simulation top 0.02%
- COVID-19 epidemiological studies 98
- Transportation top 0.02%
- Human Mobility and Location-Based Analysis 74
- Urban Transport and Accessibility 42
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- Mosquito-borne diseases and control 72
- Malaria Research and Control 72
- Global and Planetary Change top 0.2%
- Impact of Light on Environment and Health 64
- Parasitology top 0.2%
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- Global Maternal and Child Health 57
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- Data-Driven Disease Surveillance 39
- Co-authors
- Simon I HayRobert W. SnowDavid L. SmithAbdisalan M. NoorCarlos A. GuerraCatherine LinardAndrea E. GaughanForrest R. Stevens
- Journals
- Nature (5 papers)Science (8 papers)Proceedings of the National Academy of Sciences (7 papers)
- Partner nations
- United KingdomUnited StatesKenya
In The Last Decade
Andrew J. Tatem
342 papers receiving 28.0k citations
Hit Papers
Peers
Comparison fields: 5 of 219
- Modeling and Simulation 4.8k
- Transportation 4.8k
- Public Health, Environmental and Occupational Health 9.8k
- Global and Planetary Change 5.6k
- Parasitology 1.5k
Countries citing papers authored by Andrew J. Tatem
This map shows the geographic impact of Andrew J. Tatem'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 Andrew J. Tatem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Tatem more than expected).
Fields of papers citing papers by Andrew J. Tatem
This network shows the impact of papers produced by Andrew J. Tatem. 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 Andrew J. Tatem. The network helps show where Andrew J. Tatem may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew J. Tatem, 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 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 24 | |
| 8 | 2022 | 42 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 27 | |
| 11 | 2022 | 67 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 19 | |
| 14 | 2020 | 133 | |
| 15 | 2020 | 52 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 190 | |
| 18 | 2018 | 55 | |
| 19 | The early spread and epidemic ignition of HIV-1 in human populationsbreakdown → | 2014 | 406 |
| 20 | Dealing with uncertainty in super-resolution land cover mapping | 2001 | 1 |
About Andrew J. Tatem
Andrew J. Tatem is a scholar working on Modeling and Simulation, Transportation and Health, having authored 350 papers that have together received 28.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (98 papers), Human Mobility and Location-Based Analysis (74 papers), Mosquito-borne diseases and control (72 papers), Malaria Research and Control (72 papers), Impact of Light on Environment and Health (64 papers), Global Maternal and Child Health (57 papers), Urban Transport and Accessibility (42 papers) and Data-Driven Disease Surveillance (39 papers). The work is most often cited by research in Modeling and Simulation (4.8k citations), Transportation (4.8k citations) and Public Health, Environmental and Occupational Health (9.8k citations). Andrew J. Tatem has collaborated with scholars based in United Kingdom, United States and Kenya. Frequent co-authors include Simon I Hay, Robert W. Snow, David L. Smith, Abdisalan M. Noor, Carlos A. Guerra, Catherine Linard, Andrea E. Gaughan, Forrest R. Stevens, Peter W. Gething and Amy Wesolowski. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.