Vasileios Lampos
- Artificial Intelligence top 2%
- Sociology and Political Science top 2%
- Epidemiology top 5%
- Information Systems top 2%
- Political Science and International Relations top 2%
- Co-authors
- Nello CristianiniDaniel Preoțiuc-PietroΝικόλαος ΑλέτραςIngemar J. CoxDimitrios TsarapatsanisMichael EdelsteinRachel A. McKendryDominique Heymann
- Topics
- Data-Driven Disease Surveillance (21 papers)Influenza Virus Research Studies (12 papers)Misinformation and Its Impacts (7 papers)
- Partner nations
- United KingdomDenmarkUnited States
In The Last Decade
Vasileios Lampos
36 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 649
- Sociology and Political Science 605
- Epidemiology 567
- Information Systems 380
- Political Science and International Relations 348
Countries citing papers authored by Vasileios Lampos
This map shows the geographic impact of Vasileios Lampos'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 Vasileios Lampos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasileios Lampos more than expected).
Fields of papers citing papers by Vasileios Lampos
This network shows the impact of papers produced by Vasileios Lampos. 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 Vasileios Lampos. The network helps show where Vasileios Lampos may publish in the future.
Co-authorship network of co-authors of Vasileios Lampos
This figure shows the co-authorship network connecting the top 25 collaborators of Vasileios Lampos. A scholar is included among the top collaborators of Vasileios Lampos 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 Vasileios Lampos. Vasileios Lampos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 32 | |
| 6 | 77 | |
| 7 | Digital technologies in the public-health response to COVID-19breakdown → | 693 |
| 8 | 2 | |
| 9 | 21 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 136 | |
| 14 | 99 | |
| 15 | 140 | |
| 16 | 42 | |
| 17 | 2 | |
| 18 | A user-centric model of voting intention from Social Media | 46 |
| 19 | 90 | |
| 20 | Flu Detector - Tracking Epidemics on Twitter | 1 |
About Vasileios Lampos
Vasileios Lampos is a scholar working on Modeling and Simulation, Epidemiology and Health, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (21 papers), Influenza Virus Research Studies (12 papers) and Misinformation and Its Impacts (7 papers). The work is most often cited by research in Modeling and Simulation (275 citations), Health Informatics (45 citations) and Communication (149 citations). Vasileios Lampos has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Nello Cristianini, Daniel Preoțiuc-Pietro, Νικόλαος Αλέτρας, Ingemar J. Cox, Dimitrios Tsarapatsanis, Michael Edelstein, Rachel A. McKendry, Dominique Heymann, Molly M. Stevens and Geraint Rees. Their work appears in journals such as Nature Medicine, PLoS ONE and Scientific Reports.
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.