Eugenio Valdano
- Modeling and Simulation top 0.2%
- Infectious Diseases top 5%
- Economics and Econometrics top 2%
- Epidemiology
- Clinical Psychology top 10%
- Co-authors
- Vittoria ColizzaGiulia PullanoChiara PolettoPierre‐Yves BoëlleFrancesco PinottiMathias AltmannBernardo GutiérrezMarius Gilbert
- Topics
- COVID-19 epidemiological studies (17 papers)Complex Network Analysis Techniques (7 papers)COVID-19 Pandemic Impacts (6 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Eugenio Valdano
28 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Modeling and Simulation 916
- Infectious Diseases 478
- Economics and Econometrics 430
- Epidemiology 239
- Clinical Psychology 185
Countries citing papers authored by Eugenio Valdano
This map shows the geographic impact of Eugenio Valdano'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 Eugenio Valdano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenio Valdano more than expected).
Fields of papers citing papers by Eugenio Valdano
This network shows the impact of papers produced by Eugenio Valdano. 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 Eugenio Valdano. The network helps show where Eugenio Valdano may publish in the future.
Co-authorship network of co-authors of Eugenio Valdano
This figure shows the co-authorship network connecting the top 25 collaborators of Eugenio Valdano. A scholar is included among the top collaborators of Eugenio Valdano 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 Eugenio Valdano. Eugenio Valdano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 32 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 26 | |
| 13 | Preparedness and vulnerability of African countries against importations of COVID-19: a modelling studybreakdown → | 785 |
| 14 | 223 | |
| 15 | 26 | |
| 16 | 149 | |
| 17 | 16 | |
| 18 | A mathematical model for the spread of multipartite viruses reveals their evolutionary potential | 1 |
| 19 | 14 | |
| 20 | 58 |
About Eugenio Valdano
Eugenio Valdano is a scholar working on Modeling and Simulation, Infectious Diseases and Statistical and Nonlinear Physics, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), Complex Network Analysis Techniques (7 papers) and COVID-19 Pandemic Impacts (6 papers). The work is most often cited by research in Modeling and Simulation (916 citations), Infectious Diseases (478 citations) and Transportation (147 citations). Eugenio Valdano has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Vittoria Colizza, Giulia Pullano, Chiara Poletto, Pierre‐Yves Boëlle, Francesco Pinotti, Mathias Altmann, Bernardo Gutiérrez, Marius Gilbert, Yazdan Yazdanpanah and Serge Paul Eholié. Their work appears in journals such as Nature, The Lancet and Physical Review Letters.
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.