Renato Casagrandi
- Modeling and Simulation top 0.1%
- Ecology top 2%
- Public Health, Environmental and Occupational Health top 2%
- Nature and Landscape Conservation top 2%
- Global and Planetary Change top 5%
- Co-authors
- Marino GattoLorenzo MariEnrico BertuzzoAndrea RinaldoRan NathanStefano MiccoliSimon A. LevinI. Rodriguez‐Iturbe
- Topics
- COVID-19 epidemiological studies (21 papers)Mathematical and Theoretical Epidemiology and Ecology Models (16 papers)Vibrio bacteria research studies (15 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Renato Casagrandi
91 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Modeling and Simulation 1.4k
- Ecology 1.1k
- Public Health, Environmental and Occupational Health 850
- Nature and Landscape Conservation 709
- Global and Planetary Change 610
Countries citing papers authored by Renato Casagrandi
This map shows the geographic impact of Renato Casagrandi'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 Renato Casagrandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renato Casagrandi more than expected).
Fields of papers citing papers by Renato Casagrandi
This network shows the impact of papers produced by Renato Casagrandi. 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 Renato Casagrandi. The network helps show where Renato Casagrandi may publish in the future.
Co-authorship network of co-authors of Renato Casagrandi
This figure shows the co-authorship network connecting the top 25 collaborators of Renato Casagrandi. A scholar is included among the top collaborators of Renato Casagrandi 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 Renato Casagrandi. Renato Casagrandi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 31 | |
| 9 | 27 | |
| 10 | 108 | |
| 11 | 10 | |
| 12 | Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measuresbreakdown → | 730 |
| 13 | 5 | |
| 14 | 13 | |
| 15 | 9 | |
| 16 | 44 | |
| 17 | 22 | |
| 18 | 27 | |
| 19 | 20 | |
| 20 | Sustainability and Bifurcations of Positive Attractors | 3 |
About Renato Casagrandi
Renato Casagrandi is a scholar working on Modeling and Simulation, Endocrinology and Nature and Landscape Conservation, having authored 94 papers that have together received 4.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (21 papers), Mathematical and Theoretical Epidemiology and Ecology Models (16 papers) and Vibrio bacteria research studies (15 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Endocrinology (477 citations) and Nature and Landscape Conservation (709 citations). Renato Casagrandi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Marino Gatto, Lorenzo Mari, Enrico Bertuzzo, Andrea Rinaldo, Andrea Rinaldo, Ran Nathan, Stefano Miccoli, Simon A. Levin, I. Rodriguez‐Iturbe and Luca Carraro. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.