Daniela Castro‐Camilo
- Management, Monitoring, Policy and Law top 2%
- Global and Planetary Change top 10%
- Atmospheric Science top 10%
- Environmental Engineering top 10%
- Ecology
- Co-authors
- Raphaël HuserLuigi LombardoHåvard RueJie DouP. MartínVirgilio Gómez‐RubioElias Teixeira KrainskiAmanda Lenzi
- Topics
- Financial Risk and Volatility Modeling (6 papers)Landslides and related hazards (6 papers)Hydrology and Drought Analysis (5 papers)
- Journals
- Journal of the American Statistical AssociationEngineering GeologyEnvironmental Modelling & Software
- Partner nations
- United KingdomSaudi ArabiaNetherlands
In The Last Decade
Daniela Castro‐Camilo
15 papers receiving 546 citations
Peers
Comparison fields: 5 of 73
- Management, Monitoring, Policy and Law 255
- Global and Planetary Change 254
- Atmospheric Science 117
- Environmental Engineering 86
- Ecology 70
Countries citing papers authored by Daniela Castro‐Camilo
This map shows the geographic impact of Daniela Castro‐Camilo'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 Daniela Castro‐Camilo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Castro‐Camilo more than expected).
Fields of papers citing papers by Daniela Castro‐Camilo
This network shows the impact of papers produced by Daniela Castro‐Camilo. 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 Daniela Castro‐Camilo. The network helps show where Daniela Castro‐Camilo may publish in the future.
Co-authorship network of co-authors of Daniela Castro‐Camilo
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Castro‐Camilo. A scholar is included among the top collaborators of Daniela Castro‐Camilo 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 Daniela Castro‐Camilo. Daniela Castro‐Camilo 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 | 10 | |
| 3 | 17 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 19 | |
| 7 | 64 | |
| 8 | 19 | |
| 9 | 23 | |
| 10 | 55 | |
| 11 | 177 | |
| 12 | 24 | |
| 13 | 117 | |
| 14 | Local likelihood estimation of complex tail dependence structures in high dimensions, applied to U.S. precipitation extremes | 1 |
| 15 | 12 |
About Daniela Castro‐Camilo
Daniela Castro‐Camilo is a scholar working on Finance, Global and Planetary Change and Management, Monitoring, Policy and Law, having authored 15 papers that have together received 554 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (6 papers), Landslides and related hazards (6 papers) and Hydrology and Drought Analysis (5 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (255 citations), Global and Planetary Change (254 citations) and Atmospheric Science (117 citations). Daniela Castro‐Camilo has collaborated with scholars based in United Kingdom, Saudi Arabia and Netherlands. Frequent co-authors include Raphaël Huser, Luigi Lombardo, Håvard Rue, Jie Dou, P. Martín, Virgilio Gómez‐Rubio, Elias Teixeira Krainski, Amanda Lenzi, Finn Lindgren and Daniel Simpson. Their work appears in journals such as Journal of the American Statistical Association, Engineering Geology and Environmental Modelling & Software.
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.