Fabio Castaldi

2.5k citations
48 papers · 1.9k indexed · h-index 26

Impact in

    • Soil Geostatistics and Mapping
    • Remote Sensing and LiDAR Applications
    • 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
    • Remote Sensing in Agriculture 29

Fabio Castaldi

46 papers receiving 1.9k citations

Peers

Fabio Castaldi
Comparison fields: 5 of 83
  • Environmental Engineering 1.4k
  • Soil Science 425
  • Ecology 1.0k
  • Artificial Intelligence 718
  • Analytical Chemistry 204
Replace Xinle Zhang with:
Xinle Zhang China
Asa Gholizadeh Czechia
Marcos Rafael Nanni Brazil
W. Dean Hively United States
Jie Peng China
Michael L. Whiting United States
Michael Vohland Germany
Simone Pascucci Italy
Henning Buddenbaum Germany
Pierre Roudier New Zealand
Fabio Castaldi relative to Xinle Zhang China Xinle Zhang's profile →
Citations per field
00.5×11×
Xinle Zhang · 1×
Citations per year

Countries citing papers authored by Fabio Castaldi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Fabio Castaldi Line = papers co-authored together Fabio Castaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20244
4 20237
5 202355
6 202262
7 202210
8 202230
9 202268
10 202134
11 202024
12 202027
13 201863
14 201878
15 201759
16 201416
17 201441
18 201228
19 201211
20 201034

About Fabio Castaldi

Fabio Castaldi is a scholar working on Environmental Engineering, Ecology, Soil Science, Analytical Chemistry and Artificial Intelligence, having authored 48 papers that have together received 1.9k 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 Moisture and Remote Sensing (4 papers), Soil erosion and sediment transport (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Karst Systems and Hydrogeology (3 papers). The work is most often cited by research in Environmental Engineering (1.4k citations), Soil Science (425 citations), Ecology (1.0k citations), Artificial Intelligence (718 citations) and Analytical Chemistry (204 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, Geoderma and Soil and Tillage Research.

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.

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