Samuele De Bartolo

753 total citations
41 papers, 544 citations indexed

About

Samuele De Bartolo is a scholar working on Environmental Engineering, Civil and Structural Engineering and Water Science and Technology. According to data from OpenAlex, Samuele De Bartolo has authored 41 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Engineering, 13 papers in Civil and Structural Engineering and 11 papers in Water Science and Technology. Recurrent topics in Samuele De Bartolo's work include Groundwater flow and contamination studies (19 papers), Soil and Unsaturated Flow (12 papers) and Hydrology and Watershed Management Studies (11 papers). Samuele De Bartolo is often cited by papers focused on Groundwater flow and contamination studies (19 papers), Soil and Unsaturated Flow (12 papers) and Hydrology and Watershed Management Studies (11 papers). Samuele De Bartolo collaborates with scholars based in Italy, United States and Russia. Samuele De Bartolo's co-authors include Massimo Veltri, Carmine Fallico, Gerardo Severino, Roberto Gaudio, Leonardo Primavera, Salvatore Gabriele, Giuseppe Roberto Tomasicchio, Ali Tafarojnoruz, Francesco Dell’Accio and Pierfranco Costabile and has published in prestigious journals such as Journal of Fluid Mechanics, Water Resources Research and Journal of Hydrology.

In The Last Decade

Samuele De Bartolo

41 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuele De Bartolo Italy 15 230 147 126 117 112 41 544
Massimo Veltri Italy 12 119 0.5× 107 0.7× 105 0.8× 120 1.0× 69 0.6× 17 374
Joris Heyman France 12 103 0.4× 71 0.5× 66 0.5× 245 2.1× 41 0.4× 27 494
Luiz Cláudio Gomes Pimentel Brazil 14 194 0.8× 64 0.4× 50 0.4× 70 0.6× 145 1.3× 45 496
Lun Gao China 20 563 2.4× 67 0.5× 47 0.4× 68 0.6× 193 1.7× 41 870
Ethan T. Coon United States 21 265 1.2× 128 0.9× 305 2.4× 72 0.6× 168 1.5× 48 1.3k
W.E. Bardsley New Zealand 13 197 0.9× 56 0.4× 118 0.9× 23 0.2× 174 1.6× 78 492
Josodhir Das India 17 69 0.3× 71 0.5× 40 0.3× 86 0.7× 141 1.3× 43 726
Maurizio Barbarella Italy 16 300 1.3× 106 0.7× 21 0.2× 63 0.5× 78 0.7× 49 636
Sebastian Müller Germany 10 145 0.6× 87 0.6× 51 0.4× 16 0.1× 62 0.6× 35 344
S. M. Ramasamy India 15 218 0.9× 21 0.1× 112 0.9× 61 0.5× 163 1.5× 58 687

Countries citing papers authored by Samuele De Bartolo

Since Specialization
Citations

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

Fields of papers citing papers by Samuele De Bartolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuele De Bartolo. 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 Samuele De Bartolo. The network helps show where Samuele De Bartolo may publish in the future.

Co-authorship network of co-authors of Samuele De Bartolo

This figure shows the co-authorship network connecting the top 25 collaborators of Samuele De Bartolo. A scholar is included among the top collaborators of Samuele De Bartolo 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 Samuele De Bartolo. Samuele De Bartolo 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.
Bartolo, Samuele De. (2024). Singularities of Taylor’s power law in the analysis of aggregation measures. Physica A Statistical Mechanics and its Applications. 654. 130151–130151. 1 indexed citations
2.
Scaraggi, Michele, Leonardo Primavera, Gaetano Napoli, et al.. (2024). Multiscaling behavior of braided channel networks: An alternative formulation of Taylor's law variate transformations. Physical review. E. 109(3). 34306–34306. 3 indexed citations
3.
Vitolo, Raffaele, et al.. (2023). Master equation model for solute transport in river basins: part I channel fluvial scale. Stochastic Environmental Research and Risk Assessment. 37(10). 3807–3817. 2 indexed citations
4.
Vitolo, Raffaele, et al.. (2023). Master equation model for solute transport in river basins: part II basin fluvial scale. Stochastic Environmental Research and Risk Assessment. 38(2). 751–760. 1 indexed citations
5.
Bartolo, Samuele De. (2022). Advances in River Hydraulic Characterization. Water. 14(7). 1125–1125. 1 indexed citations
6.
Bartolo, Samuele De, Ennio Ferrari, Gaetano Napoli, et al.. (2022). Scaling behaviour of braided active channels: a Taylor’s power law approach. The European Physical Journal Plus. 137(5). 5 indexed citations
7.
Bartolo, Samuele De, et al.. (2021). Experimental investigation to characterize simple versus multi scaling analysis of hydraulic conductivity at a mesoscale. Stochastic Environmental Research and Risk Assessment. 36(4). 1131–1142. 7 indexed citations
8.
9.
Kobayashi, Nobuhisa, et al.. (2021). Use of Nanosilica for Increasing Dune Erosion Resistance during a Sea Storm. Journal of Marine Science and Engineering. 9(6). 620–620. 8 indexed citations
10.
Fallico, Carmine, et al.. (2020). Use of fractal models to define the scaling behavior of the aquifers’ parameters at the mesoscale. Stochastic Environmental Research and Risk Assessment. 35(5). 971–984. 14 indexed citations
11.
Severino, Gerardo, et al.. (2019). Experimental evidence of the stochastic behavior of the conductivity in radial flow configurations. Stochastic Environmental Research and Risk Assessment. 33(8-9). 1651–1657. 6 indexed citations
12.
Fallico, Carmine, et al.. (2017). Spatial dependence of the hydraulic conductivity in a well‐type configuration at the mesoscale. Hydrological Processes. 32(4). 590–595. 11 indexed citations
13.
Bartolo, Samuele De, et al.. (2016). Relation between grid, channel, and Peano networks in high‐resolution digital elevation models. Water Resources Research. 52(5). 3527–3546. 15 indexed citations
14.
Bartolo, Samuele De, Carmine Fallico, & Ennio Ferrari. (2015). Simple scaling analysis of active channel patterns in Fiumara environment. Geomorphology. 232. 94–102. 5 indexed citations
15.
Bartolo, Samuele De, Carmine Fallico, & Massimo Veltri. (2013). A Note on the Fractal Behavior of Hydraulic Conductivity and Effective Porosity for Experimental Values in a Confined Aquifer. The Scientific World JOURNAL. 2013(1). 356753–356753. 8 indexed citations
16.
Bartolo, Samuele De, et al.. (2011). Usage of infinitesimals in the Menger’s Sponge model of porosity. Applied Mathematics and Computation. 218(16). 8187–8195. 40 indexed citations
17.
Bartolo, Samuele De, Francesco Dell’Accio, & Massimo Veltri. (2009). Approximations on the Peano river network: Application of the Horton-Strahler hierarchy to the case of low connections. Physical Review E. 79(2). 26108–26108. 14 indexed citations
18.
Bartolo, Samuele De, Leonardo Primavera, Roberto Gaudio, Antonino D’Ippolito, & Massimo Veltri. (2006). Fixed-mass multifractal analysis of river networks and braided channels. Physical Review E. 74(2). 26101–26101. 18 indexed citations
19.
Gaudio, Roberto, Samuele De Bartolo, Leonardo Primavera, Salvatore Gabriele, & Massimo Veltri. (2006). Lithologic control on the multifractal spectrum of river networks. Journal of Hydrology. 327(3-4). 365–375. 24 indexed citations
20.
Bartolo, Samuele De, et al.. (1998). Analisi sperimentale sulla natura multifrattale delle reti fluviali. 4. 53–64. 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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