Samir Bhatt
- Infectious Diseases top 0.05%
- Viral Infections and Vectors 8
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- Malaria Research and Control 41
- Mosquito-borne diseases and control 35
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 35
- Insect Science top 0.2%
- Agronomy and Crop Science top 0.5%
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- Global Maternal and Child Health 14
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- Influenza Virus Research Studies 12
- Data-Driven Disease Surveillance 7
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- Evolution and Genetic Dynamics 8
- Co-authors
- Peter W. GethingSimon I HayDavid G. WilkinsonOliver J. BradyJane P. MessinaThomas W. ScottCatherine L. MoyesJohn S. Brownstein
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Samir Bhatt
149 papers receiving 17.1k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Infectious Diseases 6.7k
- Public Health, Environmental and Occupational Health 10.5k
- Modeling and Simulation 1.5k
- Insect Science 1.4k
- Agronomy and Crop Science 925
Countries citing papers authored by Samir Bhatt
This map shows the geographic impact of Samir Bhatt'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 Samir Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Bhatt more than expected).
Fields of papers citing papers by Samir Bhatt
This network shows the impact of papers produced by Samir Bhatt. 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 Samir Bhatt. The network helps show where Samir Bhatt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Samir Bhatt, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 31 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 57 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 15 | |
| 15 | 2019 | 17 | |
| 16 | 2016 | 49 | |
| 17 | 2015 | 49 | |
| 18 | 2015 | 21 | |
| 19 | 2015 | 111 | |
| 20 | Non-price competition in oligopolistic industries | 1986 | 2 |
About Samir Bhatt
Samir Bhatt is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Parasitology, Infectious Diseases and Ecological Modeling, having authored 157 papers that have together received 17.6k indexed citations. Recurring topics across this work include Malaria Research and Control (41 papers), Mosquito-borne diseases and control (35 papers), COVID-19 epidemiological studies (35 papers), Global Maternal and Child Health (14 papers), Influenza Virus Research Studies (12 papers), Viral Infections and Vectors (8 papers), Evolution and Genetic Dynamics (8 papers) and Data-Driven Disease Surveillance (7 papers). The work is most often cited by research in Infectious Diseases (6.7k citations), Public Health, Environmental and Occupational Health (10.5k citations), Modeling and Simulation (1.5k citations), Insect Science (1.4k citations) and Agronomy and Crop Science (925 citations). Samir Bhatt has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Peter W. Gething, Simon I Hay, David G. Wilkinson, Oliver J. Brady, Jane P. Messina, Thomas W. Scott, Catherine L. Moyes, John S. Brownstein, Andrew Farlow and Cameron P. Simmons. Their work appears in journals such as Malaria Journal, Scientific Reports, Nature, PLoS Computational Biology and eLife.
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.