Stefano Scialò

1.4k total citations
37 papers, 1.0k citations indexed

About

Stefano Scialò is a scholar working on Computational Mechanics, Mechanics of Materials and Environmental Engineering. According to data from OpenAlex, Stefano Scialò has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 20 papers in Mechanics of Materials and 18 papers in Environmental Engineering. Recurrent topics in Stefano Scialò's work include Advanced Numerical Methods in Computational Mathematics (22 papers), Numerical methods in engineering (19 papers) and Groundwater flow and contamination studies (18 papers). Stefano Scialò is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (22 papers), Numerical methods in engineering (19 papers) and Groundwater flow and contamination studies (18 papers). Stefano Scialò collaborates with scholars based in Italy, Argentina and Norway. Stefano Scialò's co-authors include Stefano Berrone, Sandra Pieraccini, Matías Fernando Benedetto, Andrea Borio, Alessio Fumagalli, Eirik Keilegavlen, C. Fidelibus, Claudio Canuto, Giuseppe Vacca and Franco Dassi and has published in prestigious journals such as Water Resources Research, Journal of Computational Physics and Journal of Hydrology.

In The Last Decade

Stefano Scialò

35 papers receiving 952 citations

Peers

Stefano Scialò

CSE

Chandrasekhar Annavarapu United States

Matías Fernando Benedetto Italy

C. Manwart Germany

Dominique Pelletier Canada

Kjell M. Mathisen Norway

Rick Dean United States

Yongchang Cai China

Xiang Rao China

Hideomi Ohtsubo Japan

Qiang Zhou China

Chandrasekhar Annavarapu United States

Stefano Scialò

346 ×0.6

98 ×0.2

541 ×1.2

238 ×0.8

106 ×0.5

CSE

Citations per year, relative to Stefano Scialò Stefano Scialò (= 1×) peers Chandrasekhar Annavarapu

Countries citing papers authored by Stefano Scialò

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Scialò

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Scialò

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

All Works

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20 of 20 papers shown

Scialò, Stefano. (2024). A five field formulation for flow simulations in porous media with fractures and barriers via an optimization based domain decomposition method. Finite Elements in Analysis and Design. 238. 104204–104204.

Berrone, Stefano, et al.. (2023). A PDE-constrained optimization method for 3D-1D coupled problems with discontinuous solutions. Numerical Algorithms. 95(1). 499–526. 1 indexed citations

Berrone, Stefano, et al.. (2023). An optimization based 3D-1D coupling strategy for tissue perfusion and chemical transport during tumor-induced angiogenesis. Computers & Mathematics with Applications. 151. 252–270. 1 indexed citations

Berrone, Stefano, et al.. (2023). The mixed virtual element discretization for highly-anisotropic problems: the role of the boundary degrees of freedom. Mathematics in Engineering. 5(6). 1–32. 4 indexed citations

Dassi, Franco, et al.. (2021). The Mixed Virtual Element Method for Grids with Curved Interfaces in Single-Phase Flow Problems. SPE Reservoir Simulation Conference.

Berrone, Stefano, et al.. (2019). Parallel Meshing, Discretization, and Computation of Flow in Massive Discrete Fracture Networks. SIAM Journal on Scientific Computing. 41(4). C317–C338. 20 indexed citations

Fumagalli, Alessio, Eirik Keilegavlen, & Stefano Scialò. (2018). Input and benchmarking data for flow simulations in discrete fracture networks. Data in Brief. 21. 1135–1139. 1 indexed citations

Fumagalli, Alessio, Eirik Keilegavlen, & Stefano Scialò. (2018). Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations. Journal of Computational Physics. 376. 694–712. 57 indexed citations

Wang, Bin, Yin Feng, Sandra Pieraccini, Stefano Scialò, & C. Fidelibus. (2018). Iterative coupling algorithms for large multidomain problems with the boundary element method. International Journal for Numerical Methods in Engineering. 117(1). 1–14. 10 indexed citations

10.

Berrone, Stefano, et al.. (2018). Advanced computation of steady-state fluid flow in Discrete Fracture-Matrix models: FEM–BEM and VEM–VEM fracture-block coupling. GEM - International Journal on Geomathematics. 9(2). 377–399. 18 indexed citations

11.

Berrone, Stefano, et al.. (2018). Unsteady advection-diffusion simulations in complex Discrete Fracture Networks with an optimization approach. Journal of Hydrology. 566. 332–345. 20 indexed citations

12.

Benedetto, Matías Fernando, Andrea Borio, & Stefano Scialò. (2017). Mixed Virtual Elements for discrete fracture network simulations. Finite Elements in Analysis and Design. 134. 55–67. 24 indexed citations

13.

Berrone, Stefano, Sandra Pieraccini, & Stefano Scialò. (2016). Towards effective flow simulations in realistic discrete fracture networks. Journal of Computational Physics. 310. 181–201. 29 indexed citations

14.

Benedetto, Matías Fernando, Stefano Berrone, Andrea Borio, Sandra Pieraccini, & Stefano Scialò. (2016). THE VIRTUAL ELEMENT METHOD FOR DISCRETE FRACTURE NETWORK FLOW AND TRANSPORT SIMULATIONS. 2953–2970. 3 indexed citations

15.

Berrone, Stefano, Matías Fernando Benedetto, Andrea Borio, Sandra Pieraccini, & Stefano Scialò. (2015). The Virtual Element Method for large scale Discrete Fracture Network simulations: fracture‐independent mesh generation. PAMM. 15(1). 19–22. 6 indexed citations

16.

Berrone, Stefano, Claudio Canuto, Sandra Pieraccini, & Stefano Scialò. (2015). Uncertainty quantification in Discrete Fracture Network models: Stochastic fracture transmissivity. Computers & Mathematics with Applications. 70(4). 603–623. 26 indexed citations

17.

Benedetto, Matías Fernando, Stefano Berrone, Andrea Borio, Sandra Pieraccini, & Stefano Scialò. (2015). A hybrid mortar virtual element method for discrete fracture network simulations. Journal of Computational Physics. 306. 148–166. 84 indexed citations

18.

Benedetto, Matías Fernando, Stefano Berrone, Sandra Pieraccini, & Stefano Scialò. (2014). The virtual element method for discrete fracture network simulations. Computer Methods in Applied Mechanics and Engineering. 280. 135–156. 156 indexed citations

19.

Berrone, Stefano, C. Fidelibus, Sandra Pieraccini, & Stefano Scialò. (2013). Simulation of the Steady-State Flow in Discrete Fracture Networks with Non-Conforming Meshes and Extended Finite Elements. Rock Mechanics and Rock Engineering. 47(6). 2171–2182. 19 indexed citations

20.

Berrone, Stefano, Sandra Pieraccini, & Stefano Scialò. (2013). An optimization approach for large scale simulations of discrete fracture network flows. Journal of Computational Physics. 256. 838–853. 57 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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