Fernanda De Bastiani
- Statistics and Probability top 2%
- Environmental Engineering top 10%
- Economics and Econometrics top 10%
- Global and Planetary Change top 10%
- Ecology
- Co-authors
- Robert A. RigbyMikis D. StasinopoulosGillian Z. HellerVlasios VoudourisMiguel Ángel Uribe-OpazoManuel GaleaRenata M.C.R. de SouzaJerry Adriani Johann
- Topics
- Soil Geostatistics and Mapping (15 papers)Spatial and Panel Data Analysis (9 papers)Soil and Land Suitability Analysis (6 papers)
In The Last Decade
Fernanda De Bastiani
31 papers receiving 781 citations
Peers
Comparison fields: 5 of 147
- Statistics and Probability 191
- Environmental Engineering 124
- Economics and Econometrics 119
- Global and Planetary Change 113
- Ecology 83
Countries citing papers authored by Fernanda De Bastiani
This map shows the geographic impact of Fernanda De Bastiani'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 Fernanda De Bastiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda De Bastiani more than expected).
Fields of papers citing papers by Fernanda De Bastiani
This network shows the impact of papers produced by Fernanda De Bastiani. 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 Fernanda De Bastiani. The network helps show where Fernanda De Bastiani may publish in the future.
Co-authorship network of co-authors of Fernanda De Bastiani
This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda De Bastiani. A scholar is included among the top collaborators of Fernanda De Bastiani 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 Fernanda De Bastiani. Fernanda De Bastiani 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 | 2 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 20 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | Flexible regression and smoothing: using GAMLSS in R | 124 |
| 17 | 5 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | 41 |
About Fernanda De Bastiani
Fernanda De Bastiani is a scholar working on Statistics and Probability, Environmental Engineering and Management, Monitoring, Policy and Law, having authored 34 papers that have together received 798 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (15 papers), Spatial and Panel Data Analysis (9 papers) and Soil and Land Suitability Analysis (6 papers). The work is most often cited by research in Statistics and Probability (191 citations), Environmental Engineering (124 citations) and Statistics, Probability and Uncertainty (38 citations). Fernanda De Bastiani has collaborated with scholars based in Brazil, Chile and Australia. Frequent co-authors include Robert A. Rigby, Mikis D. Stasinopoulos, Gillian Z. Heller, Vlasios Voudouris, Miguel Ángel Uribe-Opazo, Manuel Galea, Renata M.C.R. de Souza, Jerry Adriani Johann, Karis Tenneson and Alberto Barretto. Their work appears in journals such as The Science of The Total Environment, Expert Systems with Applications and The American Statistician.
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.