Davide Torlo

413 total citations
23 papers, 248 citations indexed

About

Davide Torlo is a scholar working on Computational Mechanics, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Davide Torlo has authored 23 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 11 papers in Numerical Analysis and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Davide Torlo's work include Computational Fluid Dynamics and Aerodynamics (16 papers), Advanced Numerical Methods in Computational Mathematics (12 papers) and Numerical methods for differential equations (10 papers). Davide Torlo is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (16 papers), Advanced Numerical Methods in Computational Mathematics (12 papers) and Numerical methods for differential equations (10 papers). Davide Torlo collaborates with scholars based in Italy, Switzerland and Germany. Davide Torlo's co-authors include Philipp Öffner, Rémi Abgrall, Mario Ricchiuto, Elena Gaburro, Gianluigi Rozza, Francesco Ballarin, Svetlana Tokareva, Hendrik Ranocha and Walter Boscheri and has published in prestigious journals such as Journal of Computational Physics, Applied Mathematics and Computation and SIAM Journal on Scientific Computing.

In The Last Decade

Davide Torlo

22 papers receiving 238 citations

Peers

Davide Torlo

SNP

SPU

Monika Neda United States

Carolina C. Manica United States

Jeffrey M. Connors United States

Murtazo Nazarov Sweden

Songül Kaya Türkiye

Pieter D. Boom Canada

C.M. Klaij Netherlands

Philipp Birken Germany

Svetlana Tokareva United States

Julia Charrier France

Monika Neda United States

Davide Torlo

523 ×2.7

99 ×1.0

97 ×1.8

SNP

29 ×0.9

SPU

69 ×2.6

Citations per year, relative to Davide Torlo Davide Torlo (= 1×) peers Monika Neda

Countries citing papers authored by Davide Torlo

Since Specialization

Citations

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

Fields of papers citing papers by Davide Torlo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Torlo

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Torlo. A scholar is included among the top collaborators of Davide Torlo 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 Davide Torlo. Davide Torlo 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

Öffner, Philipp, et al.. (2025). Analysis for implicit and implicit-explicit ADER and DeC methods for ordinary differential equations, advection-diffusion and advection-dispersion equations. Applied Numerical Mathematics. 212. 110–134.

Torlo, Davide, et al.. (2025). Friedrichs' systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions. Journal of Computational Physics. 531. 113915–113915. 2 indexed citations

Öffner, Philipp, et al.. (2025). A high-order, fully well-balanced, unconditionally positivity-preserving finite volume framework for flood simulations. GEM - International Journal on Geomathematics. 16(1). 2 indexed citations

Ricchiuto, Mario, et al.. (2025). Structure Preserving Nodal Continuous Finite Elements via Global Flux Quadrature. Numerical Methods for Partial Differential Equations. 41(1). 1 indexed citations

Torlo, Davide, et al.. (2024). An optimisation–based domain–decomposition reduced order model for parameter–dependent non–stationary fluid dynamics problems. Computers & Mathematics with Applications. 166. 253–268. 5 indexed citations

Torlo, Davide, et al.. (2024). Calibration-Based ALE Model Order Reduction for Hyperbolic Problems with Self-Similar Travelling Discontinuities. Journal of Scientific Computing. 101(3). 60–60. 2 indexed citations

Torlo, Davide, et al.. (2023). On improving the efficiency of ADER methods. Applied Mathematics and Computation. 466. 128426–128426. 6 indexed citations

Torlo, Davide, et al.. (2023). Spectral Analysis of High Order Continuous FEM for Hyperbolic PDEs on Triangular Meshes: Influence of Approximation, Stabilization, and Time-Stepping. Journal of Scientific Computing. 94(3). 49–49. 7 indexed citations

Torlo, Davide, et al.. (2023). Arbitrary High Order WENO Finite Volume Scheme with Flux Globalization for Moving Equilibria Preservation. Journal of Scientific Computing. 96(2). 14 indexed citations

10.

Torlo, Davide, et al.. (2023). Efficient Iterative Arbitrary High-Order Methods: an Adaptive Bridge Between Low and High Order. Communications on Applied Mathematics and Computation. 7(1). 40–77. 9 indexed citations

11.

Torlo, Davide, et al.. (2023). A New Efficient Explicit Deferred Correction Framework: Analysis and Applications to Hyperbolic PDEs and Adaptivity. Communications on Applied Mathematics and Computation. 6(3). 1629–1664. 6 indexed citations

12.

Öffner, Philipp, et al.. (2022). An arbitrary high order and positivity preserving method for the shallow water equations. Computers & Fluids. 247. 105630–105630. 16 indexed citations

13.

Gaburro, Elena, Philipp Öffner, Mario Ricchiuto, & Davide Torlo. (2022). High order entropy preserving ADER-DG schemes. Applied Mathematics and Computation. 440. 127644–127644. 27 indexed citations

14.

Abgrall, Rémi, et al.. (2022). Relaxation Deferred Correction Methods and their Applications to Residual Distribution Schemes. Zurich Open Repository and Archive (University of Zurich). 8. 125–160. 17 indexed citations

15.

Torlo, Davide, Philipp Öffner, & Hendrik Ranocha. (2022). Issues with positivity-preserving Patankar-type schemes. Applied Numerical Mathematics. 182. 117–147. 10 indexed citations

16.

Torlo, Davide, et al.. (2021). Spectral Analysis of Continuous FEM for Hyperbolic PDEs: Influence of Approximation, Stabilization, and Time-Stepping. arXiv (Cornell University). 10 indexed citations

17.

Öffner, Philipp, et al.. (2021). DeC and ADER: Similarities, Differences and a Unified Framework. IRIS Research product catalog (Sapienza University of Rome). 24 indexed citations

18.

Abgrall, Rémi & Davide Torlo. (2020). High Order Asymptotic Preserving Deferred Correction Implicit-Explicit Schemes for Kinetic Models. SIAM Journal on Scientific Computing. 42(3). B816–B845. 22 indexed citations

19.

Torlo, Davide, et al.. (2018). Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification. Journal of Computational and Applied Mathematics. 348. 466–489. 14 indexed citations

20.

Torlo, Davide, Francesco Ballarin, & Gianluigi Rozza. (2018). Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs. SIAM/ASA Journal on Uncertainty Quantification. 6(4). 1475–1502. 16 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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