Fabio Castaldi
Impact in
- Environmental Engineering top 0.5%
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
- Soil Science top 2%
- Soil Carbon and Nitrogen Dynamics
- Soil erosion and sediment transport
Papers in
-
- Soil Geostatistics and Mapping 33
- Soil Moisture and Remote Sensing 4
- Remote Sensing and LiDAR Applications 4
- Ecology 30
- Remote Sensing in Agriculture 29
- Co-authors
- Raffaele Casa (21 shared papers)Simone Pascucci (17 shared papers)Stefano Pignatti (17 shared papers)Bas van Wesemael (11 shared papers)Sabine Chabrillat (8 shared papers)Angelo Palombo (9 shared papers)Federico Santini (5 shared papers)Kristin Vreys (2 shared papers)
In The Last Decade
Fabio Castaldi
53 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 95
- Environmental Engineering 1.5k
- Soil Science 455
- Ecology 1.1k
- Analytical Chemistry 213
- Artificial Intelligence 744
Countries citing papers authored by Fabio Castaldi
This map shows the geographic impact of Fabio Castaldi'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 Fabio Castaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Castaldi more than expected).
Fields of papers citing papers by Fabio Castaldi
This network shows the impact of papers produced by Fabio Castaldi. 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 Fabio Castaldi. The network helps show where Fabio Castaldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Castaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 253 | |
| 2 | 2016 | 250 | |
| 3 | 2016 | 132 | |
| 4 | 2019 | 110 | |
| 5 | 2018 | 84 | |
| 6 | 2013 | 83 | |
| 7 | 2014 | 73 | |
| 8 | 2022 | 70 | |
| 9 | 2015 | 69 | |
| 10 | 2022 | 67 | |
| 11 | 2018 | 66 | |
| 12 | 2023 | 63 | |
| 13 | 2017 | 61 | |
| 14 | 2021 | 53 | |
| 15 | 2013 | 52 | |
| 16 | 2019 | 51 | |
| 17 | 2014 | 47 | |
| 18 | 2019 | 47 | |
| 19 | 2019 | 40 | |
| 20 | 2021 | 38 |
About Fabio Castaldi
Fabio Castaldi is a scholar working on Environmental Engineering, Ecology, Artificial Intelligence, Soil Science and Analytical Chemistry, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (33 papers), Remote Sensing in Agriculture (29 papers), Geochemistry and Geologic Mapping (22 papers), Spectroscopy and Chemometric Analyses (7 papers), Soil erosion and sediment transport (4 papers), Soil Moisture and Remote Sensing (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Soil Carbon and Nitrogen Dynamics (3 papers). The work is most often cited by research in Environmental Engineering (1.5k citations), Soil Science (455 citations), Ecology (1.1k citations), Analytical Chemistry (213 citations) and Artificial Intelligence (744 citations). Fabio Castaldi has collaborated with scholars based in Italy, Belgium and Germany. Frequent co-authors include Raffaele Casa, Simone Pascucci, Stefano Pignatti, Bas van Wesemael, Sabine Chabrillat, Angelo Palombo, Federico Santini, Kristin Vreys, Bart Bomans and Maximilian Brell. Their work appears in journals such as Remote Sensing, European Journal of Soil Science, Hydrogeology Journal, International Journal of Remote Sensing and Geoderma.
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.