Elia Scudiero

2.2k total citations
56 papers, 1.6k citations indexed

About

Elia Scudiero is a scholar working on Environmental Engineering, Ecology and Civil and Structural Engineering. According to data from OpenAlex, Elia Scudiero has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Environmental Engineering, 17 papers in Ecology and 15 papers in Civil and Structural Engineering. Recurrent topics in Elia Scudiero's work include Soil Geostatistics and Mapping (29 papers), Soil Moisture and Remote Sensing (24 papers) and Soil and Unsaturated Flow (15 papers). Elia Scudiero is often cited by papers focused on Soil Geostatistics and Mapping (29 papers), Soil Moisture and Remote Sensing (24 papers) and Soil and Unsaturated Flow (15 papers). Elia Scudiero collaborates with scholars based in United States, Italy and Australia. Elia Scudiero's co-authors include Dennis L. Corwin, Todd H. Skaggs, Francesco Morari, Pietro Teatini, M. Leistra, Saskia Keesstra, Loes van Schaik, Violette Geissen, Kim P.M. Mosse and Antonio Berti and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Elia Scudiero

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elia Scudiero United States 21 831 467 362 294 275 56 1.6k
Pierre Roudier New Zealand 19 1.1k 1.4× 488 1.0× 704 1.9× 247 0.8× 232 0.8× 45 2.0k
Xiaodong Song China 22 782 0.9× 430 0.9× 691 1.9× 189 0.6× 197 0.7× 48 1.9k
Scott T. Drummond United States 22 1.4k 1.7× 598 1.3× 658 1.8× 845 2.9× 329 1.2× 57 2.5k
Rongjiang Yao China 26 480 0.6× 298 0.6× 938 2.6× 525 1.8× 378 1.4× 94 1.9k
Brandon Heung Canada 20 1.0k 1.3× 414 0.9× 448 1.2× 292 1.0× 243 0.9× 64 1.8k
Junying Chen China 20 382 0.5× 447 1.0× 250 0.7× 418 1.4× 180 0.7× 74 1.2k
Stefan Pätzold Germany 22 521 0.6× 294 0.6× 530 1.5× 417 1.4× 156 0.6× 49 1.5k
Ebrahim Babaeian United States 16 1.0k 1.2× 266 0.6× 192 0.5× 109 0.4× 302 1.1× 25 1.4k
Uwe Schindler Germany 21 505 0.6× 233 0.5× 626 1.7× 185 0.6× 653 2.4× 85 1.7k
Tibor Tóth Hungary 20 354 0.4× 295 0.6× 512 1.4× 450 1.5× 224 0.8× 122 1.5k

Countries citing papers authored by Elia Scudiero

Since Specialization
Citations

This map shows the geographic impact of Elia Scudiero'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 Elia Scudiero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elia Scudiero more than expected).

Fields of papers citing papers by Elia Scudiero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elia Scudiero. 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 Elia Scudiero. The network helps show where Elia Scudiero may publish in the future.

Co-authorship network of co-authors of Elia Scudiero

This figure shows the co-authorship network connecting the top 25 collaborators of Elia Scudiero. A scholar is included among the top collaborators of Elia Scudiero 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 Elia Scudiero. Elia Scudiero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mahajan, Gopal Ramdas, et al.. (2025). Assessing onion salt tolerance using soil apparent electrical conductivity directed soil sampling, planet scope derived yield maps, and boundary analysis. Agricultural Water Management. 318. 109679–109679. 1 indexed citations
2.
3.
Scudiero, Elia, et al.. (2024). Assessing the effectiveness of satellite and UAV-based remote sensing for delineating alfalfa management zones under heterogeneous rootzone soil salinity. SHILAP Revista de lepidopterología. 9. 100583–100583. 5 indexed citations
4.
Scudiero, Elia, et al.. (2023). A system for concurrent on-the-go soil apparent electrical conductivity and gamma-ray sensing in micro-irrigated orchards. Soil and Tillage Research. 235. 105899–105899. 10 indexed citations
5.
6.
Marino, Giulia, Daniele Zaccaria, Richard L. Snyder, et al.. (2019). Actual Evapotranspiration and Tree Performance of Mature Micro-Irrigated Pistachio Orchards Grown on Saline-Sodic Soils in the San Joaquin Valley of California. Agriculture. 9(4). 76–76. 16 indexed citations
7.
Scudiero, Elia, et al.. (2019). Modeling of xylem vessel occlusion in grapevine. Tree Physiology. 39(8). 1438–1445. 24 indexed citations
8.
Scudiero, Elia, et al.. (2018). Factorial kriging analysis leverages soil physical properties and exhaustive data to predict distinguished zones of hydraulic properties. Computers and Electronics in Agriculture. 156. 426–438. 13 indexed citations
9.
Scudiero, Elia, et al.. (2018). Validating the use of MODIS time series for salinity assessment over agricultural soils in California, USA. Ecological Indicators. 93. 889–898. 54 indexed citations
10.
Scudiero, Elia, Pietro Teatini, Gabriele Manoli, et al.. (2018). Workflow to Establish Time-Specific Zones in Precision Agriculture by Spatiotemporal Integration of Plant and Soil Sensing Data. Agronomy. 8(11). 253–253. 37 indexed citations
11.
Scudiero, Elia, Todd H. Skaggs, & Dennis L. Corwin. (2017). Simplifying field-scale assessment of spatiotemporal changes of soil salinity. The Science of The Total Environment. 587-588. 273–281. 31 indexed citations
12.
Corwin, Dennis L., Kevin Yemoto, Gary S. Bañuelos, et al.. (2017). Evaluating Oilseed Biofuel Production Feasibility in California’s San Joaquin Valley Using Geophysical and Remote Sensing Techniques. Sensors. 17(10). 2343–2343. 2 indexed citations
13.
Scudiero, Elia, et al.. (2016). Soil degradation in farmlands of California's San Joaquin Valley resulting from drought-induced land-use changes. EGU General Assembly Conference Abstracts. 2 indexed citations
14.
Scudiero, Elia, Todd H. Skaggs, & Dennis L. Corwin. (2016). Comparative regional-scale soil salinity assessment with near-ground apparent electrical conductivity and remote sensing canopy reflectance. Ecological Indicators. 70. 276–284. 73 indexed citations
15.
Scudiero, Elia, Dennis L. Corwin, Francesco Morari, Ray G. Anderson, & Todd H. Skaggs. (2016). Spatial interpolation quality assessment for soil sensor transect datasets. Computers and Electronics in Agriculture. 123. 74–79. 8 indexed citations
16.
Huang, Jingyi, Elia Scudiero, Hyunwook Choo, Dennis L. Corwin, & John Triantafilis. (2015). Mapping soil moisture across an irrigated field using electromagnetic conductivity imaging. Agricultural Water Management. 163. 285–294. 36 indexed citations
17.
Scudiero, Elia, Todd H. Skaggs, & Dennis L. Corwin. (2015). Regional-scale soil salinity assessment using Landsat ETM + canopy reflectance. Remote Sensing of Environment. 169. 335–343. 189 indexed citations
18.
Scudiero, Elia, et al.. (2015). Downscaling Landsat 7 canopy reflectance employing a multi-soil sensor platform. Precision Agriculture. 17(1). 53–73. 13 indexed citations
19.
Manoli, Gabriele, Elia Scudiero, Mario Putti, Francesco Morari, & Pietro Teatini. (2014). Farmland productivity under stress conditions: a field scale monitoring and modeling study on the Venice coastland, Italy. Research Padua Archive (University of Padua). 14856. 1 indexed citations
20.
Teatini, Pietro, Gabriele Manoli, Elia Scudiero, et al.. (2012). Risk of land degradation due to saltwater intrusion along the Venice coastland, Italy. Research Padua Archive (University of Padua). 2012. 1 indexed citations

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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