Georgios Arampatzis
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Computational Mechanics
- Modeling and Simulation top 10%
- Materials Chemistry
- Co-authors
- Petros KoumoutsakosPantelis R. VlachasCaroline UhlerCostas PapadimitriouManuel Domínguez‐RodrigoEnrique BaquedanoJosé YravedraWonmin Byeon
- Topics
- Blood properties and coagulation (2 papers)COVID-19 epidemiological studies (2 papers)Model Reduction and Neural Networks (2 papers)
- Partner nations
- SwitzerlandUnited StatesGreece
In The Last Decade
Georgios Arampatzis
15 papers receiving 297 citations
Peers
Comparison fields: 5 of 110
- Statistical and Nonlinear Physics 65
- Artificial Intelligence 47
- Computational Mechanics 40
- Modeling and Simulation 30
- Materials Chemistry 29
Countries citing papers authored by Georgios Arampatzis
This map shows the geographic impact of Georgios Arampatzis'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 Georgios Arampatzis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgios Arampatzis more than expected).
Fields of papers citing papers by Georgios Arampatzis
This network shows the impact of papers produced by Georgios Arampatzis. 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 Georgios Arampatzis. The network helps show where Georgios Arampatzis may publish in the future.
Co-authorship network of co-authors of Georgios Arampatzis
This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Arampatzis. A scholar is included among the top collaborators of Georgios Arampatzis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Georgios Arampatzis. Georgios Arampatzis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 90 | |
| 4 | 30 | |
| 5 | 10 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | 18 | |
| 9 | 19 | |
| 10 | 1 | |
| 11 | 50 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 24 | |
| 15 | 6 |
About Georgios Arampatzis
Georgios Arampatzis is a scholar working on Health Informatics, Modeling and Simulation and Fluid Flow and Transfer Processes, having authored 15 papers that have together received 309 indexed citations. Recurring topics across this work include Blood properties and coagulation (2 papers), COVID-19 epidemiological studies (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Health Informatics (15 citations), Modeling and Simulation (30 citations) and Space and Planetary Science (8 citations). Georgios Arampatzis has collaborated with scholars based in Switzerland, United States and Greece. Frequent co-authors include Petros Koumoutsakos, Pantelis R. Vlachas, Caroline Uhler, Costas Papadimitriou, Manuel Domínguez‐Rodrigo, Enrique Baquedano, José Yravedra, Wonmin Byeon, Miguel Ángel Maté‐González and Julija Zavadlav. Their work appears in journals such as Scientific Reports, Biophysical Journal and Computer Methods in Applied Mechanics and Engineering.
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.