George Streftaris
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 9
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology 5
-
- Air Quality and Health Impacts 4
- Statistics and Probability top 10%
- Statistical Methods and Bayesian Inference 8
-
- Insurance, Mortality, Demography, Risk Management 6
-
- Bayesian Methods and Mixture Models 5
-
- Global Cancer Incidence and Screening 4
-
- Influenza Virus Research Studies 3
- Co-authors
- Gavin J. GibsonJohn W. CherrieHelinor J. JohnstonMax S. Y. LauGlenn MarionStan ZacharyAndrew J. G. CairnsHoward R. Waters
- Journals
- PLoS ONE (3 papers)Proceedings of the Royal Society B Biological Sciences (1 paper)International Journal of Environmental Research and Public Health (3 papers)
- Partner nations
- United KingdomMalaysiaTürkiye
In The Last Decade
George Streftaris
34 papers receiving 432 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 118
- Agronomy and Crop Science 71
- Health, Toxicology and Mutagenesis 63
- Statistics and Probability 34
- Infectious Diseases 58
Countries citing papers authored by George Streftaris
This map shows the geographic impact of George Streftaris'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 George Streftaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Streftaris more than expected).
Fields of papers citing papers by George Streftaris
This network shows the impact of papers produced by George Streftaris. 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 George Streftaris. The network helps show where George Streftaris may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Streftaris, 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 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2021 | 21 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 55 | |
| 12 | 2017 | 17 | |
| 13 | 2016 | 5 | |
| 14 | 2015 | 43 | |
| 15 | 2014 | 3 | |
| 16 | 2013 | 23 | |
| 17 | 2012 | 19 | |
| 18 | 2012 | 7 | |
| 19 | 2011 | 24 | |
| 20 | 2004 | 37 |
About George Streftaris
George Streftaris is a scholar working on Modeling and Simulation, Statistics and Probability and Demography, having authored 36 papers that have together received 442 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Statistical Methods and Bayesian Inference (8 papers), Insurance, Mortality, Demography, Risk Management (6 papers), Bayesian Methods and Mixture Models (5 papers), Animal Disease Management and Epidemiology (5 papers), Air Quality and Health Impacts (4 papers), Global Cancer Incidence and Screening (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (118 citations), Agronomy and Crop Science (71 citations) and Health, Toxicology and Mutagenesis (63 citations). George Streftaris has collaborated with scholars based in United Kingdom, Malaysia and Türkiye. Frequent co-authors include Gavin J. Gibson, John W. Cherrie, Helinor J. Johnston, Max S. Y. Lau, Glenn Marion, Stan Zachary, Andrew J. G. Cairns, Howard R. Waters, Ian J. Deary and Brian M. Frier. Their work appears in journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and International Journal of Environmental Research and Public Health.
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.