Asterios Tsiourvas
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
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- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
Papers in
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- COVID-19 epidemiological studies 3
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- Emergency and Acute Care Studies 2
- Co-authors
- Emmanuil H. Georgoulis (1 shared paper)Omar Skali Lami (5 shared papers)Georgia Perakis (5 shared papers)Dessislava A. Pachamanova (3 shared papers)Nectarios Koziris (2 shared papers)Ioannis Konstantinou (2 shared papers)Joshua Joseph (1 shared paper)Mohammed Amine Bennouna (2 shared papers)
- Journals
- Annals of Emergency Medicine (2 papers)Production and Operations Management (1 paper)Communications in Nonlinear Science and Numerical Simulation (1 paper)Manufacturing & Service Operations Management (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesGreeceUnited Kingdom
In The Last Decade
Asterios Tsiourvas
8 papers receiving 222 citations
Asterios Tsiourvas's Hit Papers
Peers
Comparison fields: 5 of 57
- Modeling and Simulation 106
- Epidemiology 45
- Statistical and Nonlinear Physics 14
- Emergency Medical Services 8
- Management Science and Operations Research 19
Countries citing papers authored by Asterios Tsiourvas
This map shows the geographic impact of Asterios Tsiourvas'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 Asterios Tsiourvas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asterios Tsiourvas more than expected).
Fields of papers citing papers by Asterios Tsiourvas
This network shows the impact of papers produced by Asterios Tsiourvas. 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 Asterios Tsiourvas. The network helps show where Asterios Tsiourvas may publish in the future.
Co-authors
The 14 scholars most cited alongside Asterios Tsiourvas, 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 | Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States Hit paper breakdown → | 2022 | 188 |
| 2 | 2022 | 11 | |
| 3 | 2022 | 11 | |
| 4 | 2019 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 5 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 0 |
About Asterios Tsiourvas
Asterios Tsiourvas is a scholar working on Modeling and Simulation, Emergency Medicine, Emergency Medical Services, Information Systems and Hardware and Architecture, having authored 9 papers that have together received 230 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Cloud Computing and Resource Management (2 papers), Emergency and Acute Care Studies (2 papers), Advanced MIMO Systems Optimization (1 paper), Model Reduction and Neural Networks (1 paper), Energy Efficiency in Computing (1 paper), Healthcare Operations and Scheduling Optimization (1 paper) and Auction Theory and Applications (1 paper). The work is most often cited by research in Modeling and Simulation (106 citations), Epidemiology (45 citations), Statistical and Nonlinear Physics (14 citations), Emergency Medical Services (8 citations) and Management Science and Operations Research (19 citations). Asterios Tsiourvas has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include Emmanuil H. Georgoulis, Omar Skali Lami, Georgia Perakis, Dessislava A. Pachamanova, Nectarios Koziris, Ioannis Konstantinou, Joshua Joseph, Mohammed Amine Bennouna, David Nze Ndong and Martin A. Reznek. Their work appears in journals such as Annals of Emergency Medicine, Production and Operations Management, Communications in Nonlinear Science and Numerical Simulation, Manufacturing & Service Operations Management 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.