Matteo Semplice

1.0k total citations
43 papers, 743 citations indexed

About

Matteo Semplice is a scholar working on Computational Mechanics, Numerical Analysis and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Matteo Semplice has authored 43 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Mechanics, 8 papers in Numerical Analysis and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Matteo Semplice's work include Computational Fluid Dynamics and Aerodynamics (19 papers), Advanced Numerical Methods in Computational Mathematics (18 papers) and Fluid Dynamics and Turbulent Flows (11 papers). Matteo Semplice is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (19 papers), Advanced Numerical Methods in Computational Mathematics (18 papers) and Fluid Dynamics and Turbulent Flows (11 papers). Matteo Semplice collaborates with scholars based in Italy, Germany and United Kingdom. Matteo Semplice's co-authors include Gabriella Puppo, Antonio Di Guardo, Michael Dumbser, Walter Boscheri, Giuseppe Visconti, Giovanni Russo, Giovanni Naldi, Fausto Cavalli, Christian Klingenberg and Andrea Tosin and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Matteo Semplice

42 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Semplice Italy 17 415 172 145 122 104 43 743
Nelida Črnjarić-Žic Croatia 11 184 0.4× 84 0.5× 40 0.3× 44 0.4× 103 1.0× 29 422
Yuri N. Skiba Mexico 12 116 0.3× 39 0.2× 65 0.4× 84 0.7× 12 0.1× 60 325
L. P. Prahm Denmark 17 152 0.4× 28 0.2× 104 0.7× 443 3.6× 14 0.1× 35 916
S. Venkatesh Canada 14 21 0.1× 28 0.2× 140 1.0× 301 2.5× 110 1.1× 57 666
M. van Loon Netherlands 10 144 0.3× 38 0.2× 265 1.8× 580 4.8× 7 0.1× 20 780
Junfeng 14 83 0.2× 7 0.0× 18 0.1× 62 0.5× 50 0.5× 132 692
W. P. Crowley United States 7 217 0.5× 33 0.2× 8 0.1× 120 1.0× 10 0.1× 19 462
Oswald Knoth Germany 15 197 0.5× 18 0.1× 123 0.8× 339 2.8× 2 0.0× 35 610
Q. Liu China 10 34 0.1× 99 0.6× 10 0.1× 40 0.3× 12 0.1× 13 798

Countries citing papers authored by Matteo Semplice

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Semplice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Semplice

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Semplice. A scholar is included among the top collaborators of Matteo Semplice 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 Matteo Semplice. Matteo Semplice 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.
Puppo, Gabriella, Matteo Semplice, & Giuseppe Visconti. (2024). Quinpi: Integrating Stiff Hyperbolic Systems with Implicit High Order Finite Volume Schemes. Communications in Computational Physics. 36(1). 30–70. 1 indexed citations
2.
Mazza, Mariarosa, et al.. (2023). A ghost-point smoothing strategy for geometric multigrid on curved boundaries. Journal of Computational Physics. 478. 111982–111982. 1 indexed citations
3.
4.
Guglielmin, Mauro, Marco Donatelli, Matteo Semplice, & Stefano Serra‐Capizzano. (2018). Ground surface temperature reconstruction for the last 500 years obtained from permafrost temperatures observed in the SHARE STELVIO Borehole, Italian Alps. Climate of the past. 14(6). 709–724. 17 indexed citations
5.
Kolb, Oliver, et al.. (2018). On a third order CWENO boundary treatment with application to networks of hyperbolic conservation laws. Applied Mathematics and Computation. 325. 252–270. 10 indexed citations
6.
Semplice, Matteo, et al.. (2017). Analysis of a multi-population kinetic model for traffic flow. PORTO Publications Open Repository TOrino (Politecnico di Torino). 11 indexed citations
7.
Terzaghi, Elisa, Matteo Semplice, Bruno Enrico Leone Cerabolini, et al.. (2017). SoilPlusVeg: An integrated air-plant-litter-soil model to predict organic chemical fate and recycling in forests. The Science of The Total Environment. 595. 169–177. 37 indexed citations
8.
Guardo, Antonio Di, et al.. (2016). European environmental scenarios of chemical bioavailability in freshwater systems. The Science of The Total Environment. 580. 1237–1246. 10 indexed citations
9.
Semplice, Matteo, et al.. (2015). Importance of environmental and biomass dynamics in predicting chemical exposure in ecological risk assessment. The Science of The Total Environment. 526. 338–345. 18 indexed citations
10.
Semplice, Matteo, et al.. (2015). On the Accuracy of WENO and CWENO Reconstructions of Third Order on Nonuniform Meshes. Journal of Scientific Computing. 67(3). 1219–1246. 81 indexed citations
11.
Puppo, Gabriella & Matteo Semplice. (2015). Well-Balanced High Order 1D Schemes on Non-uniform Grids and Entropy Residuals. Journal of Scientific Computing. 66(3). 1052–1076. 10 indexed citations
12.
Semplice, Matteo, et al.. (2014). Evaluating the temporal variability of concentrations of POPs in a glacier-fed stream food chain using a combined modeling approach. The Science of The Total Environment. 493. 571–579. 36 indexed citations
13.
Semplice, Matteo, et al.. (2012). Integration of an atmospheric dispersion model with a dynamic multimedia fate model: Development and illustration. Environmental Pollution. 164. 182–187. 14 indexed citations
14.
Semplice, Matteo, et al.. (2012). A Bistable Model of Cell Polarity. PLoS ONE. 7(2). e30977–e30977. 29 indexed citations
15.
Semplice, Matteo, et al.. (2011). Guidance on the Selection of Efficient Computational Methods for Multimedia Fate Models. Environmental Science & Technology. 46(3). 1616–1623. 10 indexed citations
16.
Semplice, Matteo, et al.. (2011). Modeling short-term variability of semivolatile organic chemicals in air at a local scale: An integrated modeling approach. Environmental Pollution. 159(5). 1406–1412. 23 indexed citations
17.
Puppo, Gabriella & Matteo Semplice. (2011). Numerical Entropy and Adaptivity for Finite Volume Schemes. Communications in Computational Physics. 10(5). 1132–1160. 40 indexed citations
18.
Cavalli, Fausto, Giovanni Naldi, Gabriella Puppo, & Matteo Semplice. (2009). Relaxed schemes based on diffusive relaxation for hyperbolic-parabolic problems: some new developments. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
19.
Cavalli, Fausto, Giovanni Naldi, Gabriella Puppo, & Matteo Semplice. (2009). A Family of Relaxation Schemes for Nonlinear Convection Diffusion Problems. Communications in Computational Physics. 5. 532–545. 2 indexed citations
20.
Cavalli, Fausto & Matteo Semplice. (2007). High order relaxed schemes for nonlinear reaction diffusion problems. IrInSubria (University of Insubria). 2. 1–10. 4 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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