Asterios Tsiourvas
Impact in
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- COVID-19 epidemiological studies
Papers in
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- IoT and Edge/Fog Computing 1
- Optimization and Search Problems 1
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- Cloud Computing and Resource Management 1
- Blockchain Technology Applications and Security 1
- Co-authors
- Emmanuil H. Georgoulis (1 shared paper)Georgia Perakis (3 shared papers)Omar Skali Lami (3 shared papers)David Nze Ndong (1 shared paper)Nectarios Koziris (2 shared papers)Dessislava A. Pachamanova (2 shared papers)Joshua Joseph (1 shared paper)Divya Singhvi (1 shared paper)
- Journals
- Communications in Nonlinear Science and Numerical Simulation (1 paper)Production and Operations Management (1 paper)Annals of Emergency Medicine (1 paper)Manufacturing & Service Operations Management (1 paper)IEEE Conference Proceedings (1 paper)
- Partner nations
- United StatesGreeceNorway
In The Last Decade
Asterios Tsiourvas
6 papers receiving 40 citations
Peers
Comparison fields: 5 of 38
- Health Informatics 2
- Modeling and Simulation 6
- Statistical and Nonlinear Physics 7
- Business and International Management 1
- Emergency Medical Services 3
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 12 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 | 2022 | 15 | |
| 2 | 2022 | 9 | |
| 3 | 2019 | 7 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2021 | 1 |
About Asterios Tsiourvas
Asterios Tsiourvas is a scholar working on Computer Networks and Communications, Information Systems, Emergency Medicine, Infectious Diseases and Statistical and Nonlinear Physics, having authored 6 papers that have together received 41 indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (2 papers), Numerical methods in engineering (1 paper), Cloud Computing and Resource Management (1 paper), IoT and Edge/Fog Computing (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper), COVID-19 epidemiological studies (1 paper), Blockchain Technology Applications and Security (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Health Informatics (2 citations), Modeling and Simulation (6 citations), Statistical and Nonlinear Physics (7 citations), Business and International Management (1 citation) and Emergency Medical Services (3 citations). Asterios Tsiourvas has collaborated with scholars based in United States, Greece and Norway. Frequent co-authors include Emmanuil H. Georgoulis, Georgia Perakis, Omar Skali Lami, David Nze Ndong, Nectarios Koziris, Dessislava A. Pachamanova, Joshua Joseph, Divya Singhvi, Ioannis Konstantinou and Leann Thayaparan. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Production and Operations Management, Annals of Emergency Medicine, Manufacturing & Service Operations Management and IEEE Conference Proceedings.
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.