Amaryllis Mavragani
- Epidemiology top 5%
- Sociology and Political Science top 5%
- Modeling and Simulation top 1%
- Health top 5%
- General Health Professions top 10%
- Co-authors
- Gabriela OchoaKonstantinos P. TsagarakisΚωνσταντίνος ΓκίλλαςIoannis E. NikolaouAlexia SampriAndrius JurelionisDiāna BajāreMario Bačić
- Topics
- Data-Driven Disease Surveillance (15 papers)Misinformation and Its Impacts (8 papers)Influenza Virus Research Studies (4 papers)
- Journals
- Scientific ReportsRenewable EnergyInternational Journal of Environmental Research and Public Health
- Partner nations
- GreeceUnited KingdomUnited States
In The Last Decade
Amaryllis Mavragani
22 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Epidemiology 659
- Sociology and Political Science 344
- Modeling and Simulation 234
- Health 190
- General Health Professions 125
Countries citing papers authored by Amaryllis Mavragani
This map shows the geographic impact of Amaryllis Mavragani'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 Amaryllis Mavragani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amaryllis Mavragani more than expected).
Fields of papers citing papers by Amaryllis Mavragani
This network shows the impact of papers produced by Amaryllis Mavragani. 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 Amaryllis Mavragani. The network helps show where Amaryllis Mavragani may publish in the future.
Co-authorship network of co-authors of Amaryllis Mavragani
This figure shows the co-authorship network connecting the top 25 collaborators of Amaryllis Mavragani. A scholar is included among the top collaborators of Amaryllis Mavragani 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 Amaryllis Mavragani. Amaryllis Mavragani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 144 | |
| 7 | 104 | |
| 8 | 86 | |
| 9 | Google Trends in Infodemiology and Infoveillance: Methodology Frameworkbreakdown → | 274 |
| 10 | 22 | |
| 11 | 73 | |
| 12 | 24 | |
| 13 | Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Reviewbreakdown → | 219 |
| 14 | 14 | |
| 15 | 27 | |
| 16 | 50 | |
| 17 | 13 | |
| 18 | 3 | |
| 19 | 74 | |
| 20 | 17 |
About Amaryllis Mavragani
Amaryllis Mavragani is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Epidemiology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (15 papers), Misinformation and Its Impacts (8 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Modeling and Simulation (234 citations), Health (190 citations) and Epidemiology (659 citations). Amaryllis Mavragani has collaborated with scholars based in Greece, United Kingdom and United States. Frequent co-authors include Gabriela Ochoa, Konstantinos P. Tsagarakis, Κωνσταντίνος Γκίλλας, Ioannis E. Nikolaou, Alexia Sampri, Andrius Jurelionis, Diāna Bajāre, Mario Bačić, Aleksandar S. Anđelković and Saqib Javed. Their work appears in journals such as Scientific Reports, Renewable Energy 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.