R. Quarto

513 total citations
21 papers, 400 citations indexed

About

R. Quarto is a scholar working on Environmental Engineering, Ocean Engineering and Geophysics. According to data from OpenAlex, R. Quarto has authored 21 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 8 papers in Ocean Engineering and 8 papers in Geophysics. Recurrent topics in R. Quarto's work include Soil Geostatistics and Mapping (10 papers), Soil Moisture and Remote Sensing (8 papers) and Geophysical Methods and Applications (8 papers). R. Quarto is often cited by papers focused on Soil Geostatistics and Mapping (10 papers), Soil Moisture and Remote Sensing (8 papers) and Geophysical Methods and Applications (8 papers). R. Quarto collaborates with scholars based in Italy, Egypt and Belgium. R. Quarto's co-authors include D. Schiavone, Annamaria Castrignanò, Gabriele Buttafuocò, Accursio Venezia, M. Loddo, Giuliano Langella, Fabio Terribile, Daniela De Benedetto, Carolina Vitti and Sergio Ruggieri and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Tectonophysics.

In The Last Decade

R. Quarto

21 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Quarto Italy 12 180 152 93 90 85 21 400
E. Lück Germany 12 203 1.1× 273 1.8× 26 0.3× 60 0.7× 211 2.5× 31 515
Triven Koganti Denmark 11 147 0.8× 60 0.4× 23 0.2× 65 0.7× 65 0.8× 26 283
Zhitao Zhang China 12 161 0.9× 148 1.0× 195 2.1× 228 2.5× 15 0.2× 31 593
Khalid Omari Canada 11 164 0.9× 37 0.2× 30 0.3× 168 1.9× 23 0.3× 29 413
Davood Moghadas Germany 15 302 1.7× 451 3.0× 24 0.3× 23 0.3× 388 4.6× 27 653
Mutiara Syifa South Korea 8 106 0.6× 27 0.2× 47 0.5× 113 1.3× 20 0.2× 17 365
Claudia Pipitone Italy 9 104 0.6× 26 0.2× 38 0.4× 110 1.2× 24 0.3× 16 379
Sam Buchanan Australia 8 281 1.6× 118 0.8× 11 0.1× 25 0.3× 58 0.7× 12 329
P. L. N. Raju India 10 78 0.4× 41 0.3× 49 0.5× 109 1.2× 11 0.1× 34 350
Íñigo Molina Spain 12 209 1.2× 13 0.1× 24 0.3× 100 1.1× 47 0.6× 35 460

Countries citing papers authored by R. Quarto

Since Specialization
Citations

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

Fields of papers citing papers by R. Quarto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Quarto

This figure shows the co-authorship network connecting the top 25 collaborators of R. Quarto. A scholar is included among the top collaborators of R. Quarto 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 R. Quarto. R. Quarto 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.
Riefolo, Carmela, et al.. (2022). Potential of GPR data fusion with hyperspectral data for precision agriculture of the future. Computers and Electronics in Agriculture. 199. 107109–107109. 16 indexed citations
2.
Buttafuocò, Gabriele, R. Quarto, Massimo Conforti, et al.. (2021). Taking into account change of support when merging heterogeneous spatial data for field partition. Precision Agriculture. 22(2). 586–607. 7 indexed citations
3.
Castrignanò, Annamaria, Antonella Belmonte, I. Antelmi, et al.. (2020). A geostatistical fusion approach using UAV data for probabilistic estimation of Xylella fastidiosa subsp. pauca infection in olive trees. The Science of The Total Environment. 752. 141814–141814. 24 indexed citations
4.
Castrignanò, Annamaria, Antonella Belmonte, I. Antelmi, et al.. (2020). Semi-Automatic Method for Early Detection of Xylella fastidiosa in Olive Trees Using UAV Multispectral Imagery and Geostatistical-Discriminant Analysis. Remote Sensing. 13(1). 14–14. 31 indexed citations
5.
Castrignanò, Annamaria, R. Quarto, Accursio Venezia, & Gabriele Buttafuocò. (2019). A comparison between mixed support kriging and block cokriging for modelling and combining spatial data with different support. Precision Agriculture. 20(2). 193–213. 14 indexed citations
6.
Buttafuocò, Gabriele, R. Quarto, Massimo Conforti, et al.. (2019). A geophysical and spectrometric sensor data fusion approach for homogeneous within-field zone delineation. 705–712. 1 indexed citations
7.
Castrignanò, Annamaria, Gabriele Buttafuocò, R. Quarto, et al.. (2018). A geostatistical sensor data fusion approach for delineating homogeneous management zones in Precision Agriculture. CATENA. 167. 293–304. 46 indexed citations
8.
Castrignanò, Annamaria, Gabriele Buttafuocò, R. Quarto, et al.. (2017). A Combined Approach of Sensor Data Fusion and Multivariate Geostatistics for Delineation of Homogeneous Zones in an Agricultural Field. Sensors. 17(12). 2794–2794. 49 indexed citations
9.
Castrignanò, Annamaria, R. Quarto, Accursio Venezia, & Gabriele Buttafuocò. (2017). A geostatistical approach for modelling and combining spatial data with different support. Advances in Animal Biosciences. 8(2). 594–599. 3 indexed citations
10.
Ayoubi, Shamsollah, et al.. (2016). Using ground‐penetrating radar to explore the cemented soil horizon in an arid region in Iran. Near Surface Geophysics. 15(1). 103–110. 15 indexed citations
11.
Benedetto, Daniela De, et al.. (2016). Use of geophysical data for assessing 3D soil variation in a durum wheat field and their association with crop yield. Biosystems Engineering. 152. 28–40. 13 indexed citations
12.
Benedetto, Daniela De, R. Quarto, Annamaria Castrignanò, & Domenico Palumbo. (2015). Impact of Data Processing and Antenna Frequency on Spatial Structure Modelling of GPR Data. Sensors. 15(7). 16430–16447. 9 indexed citations
13.
Palano, Mimmo, D. Schiavone, M. Loddo, et al.. (2015). Active upper crust deformation pattern along the southern edge of the Tyrrhenian subduction zone (NE Sicily): Insights from a multidisciplinary approach. Tectonophysics. 657. 205–218. 37 indexed citations
14.
Benedetto, Daniela De, Annamaria Castrignanò, & R. Quarto. (2013). A Geostatistical Approach to Estimate Soil Moisture as a Function of Geophysical Data and Soil Attributes. Procedia Environmental Sciences. 19. 436–445. 18 indexed citations
15.
Quarto, R., et al.. (2007). Ground penetrating radar survey of a prehistoric site in southern Italy. Journal of Archaeological Science. 34(12). 2071–2080. 8 indexed citations
16.
Loddo, M., R. Quarto, & D. Schiavone. (1996). Integrated geophysical survey for the geological structural and hydrogeothermal study of the North-western Gargano promontory (Southern Italy). Annals of Geophysics. 39(1). 10 indexed citations
17.
Quarto, R. & D. Schiavone. (1996). Detection of cavities by the self-potential method. First Break. 14(11). 10 indexed citations
18.
Quarto, R. & D. Schiavone. (1994). Hydrogeological implications of the resistivity distribution inferred from electrical prospecting data from the Apulian carbonate platform. Journal of Hydrology. 154(1-4). 219–244. 7 indexed citations
19.
Schiavone, D. & R. Quarto. (1992). Cavities detection using the self-potential method. 3 indexed citations
20.
Loddo, M., et al.. (1989). Application of gravity and deep dipole geoelectrics in the volcanic area of Mt. Etna (Sicily). Journal of Volcanology and Geothermal Research. 39(1). 17–39. 41 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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