Davide Baroli

567 total citations · 1 hit paper
25 papers, 369 citations indexed

About

Davide Baroli is a scholar working on Computational Mechanics, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Davide Baroli has authored 25 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 6 papers in Biomedical Engineering and 5 papers in Aerospace Engineering. Recurrent topics in Davide Baroli's work include Elasticity and Material Modeling (4 papers), Nuclear reactor physics and engineering (4 papers) and Nuclear Engineering Thermal-Hydraulics (3 papers). Davide Baroli is often cited by papers focused on Elasticity and Material Modeling (4 papers), Nuclear reactor physics and engineering (4 papers) and Nuclear Engineering Thermal-Hydraulics (3 papers). Davide Baroli collaborates with scholars based in Germany, Luxembourg and Italy. Davide Baroli's co-authors include Alessandro Veneziani, Alex Viguerie, Alessandro Reali, Ferdinando Auricchio, Thomas E. Yankeelov, Guillermo Lorenzo, Thomas J.R. Hughes, Antonio Cammi, Gianluigi Rozza and Stéphane Bordas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Transactions on Signal Processing.

In The Last Decade

Davide Baroli

21 papers receiving 361 citations

Hit Papers

Simulating the spread of COVID-19 via a spatially-resolve... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Baroli Germany 9 179 103 78 49 42 25 369
Américo Cunha Brazil 12 58 0.3× 32 0.3× 23 0.3× 28 0.6× 19 0.5× 59 398
Muhammad Nawaz Khan Pakistan 10 342 1.9× 55 0.5× 141 1.8× 5 0.1× 59 1.4× 18 587
Fuad S. Alduais Saudi Arabia 13 77 0.4× 46 0.4× 23 0.3× 14 0.3× 166 4.0× 89 569
Zhichao Jiang China 13 436 2.4× 388 3.8× 168 2.2× 22 0.4× 14 0.3× 64 1.1k
Hao Kang United States 11 88 0.5× 111 1.1× 14 0.2× 126 2.6× 89 2.1× 60 390
Alex Viguerie United States 9 204 1.1× 117 1.1× 42 0.5× 2 0.0× 42 1.0× 29 364
Yannick Privat France 15 38 0.2× 121 1.2× 46 0.6× 7 0.1× 71 1.7× 69 612
Mostafa Zahri United Arab Emirates 16 149 0.8× 133 1.3× 32 0.4× 11 0.2× 223 5.3× 54 633

Countries citing papers authored by Davide Baroli

Since Specialization
Citations

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

Fields of papers citing papers by Davide Baroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Baroli

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Baroli. A scholar is included among the top collaborators of Davide Baroli 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 Baroli. Davide Baroli 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
2.
Baroli, Davide, et al.. (2024). Samplet Basis Pursuit: Multiresolution Scattered Data Approximation With Sparsity Constraints. IEEE Transactions on Signal Processing. 72. 1813–1823.
3.
Rohan, Pierre‐Yves, et al.. (2023). Single and bi-compartment poro-elastic model of perfused biological soft tissues: FEniCSx implementation and tutorial. Journal of the mechanical behavior of biomedical materials. 143. 105902–105902. 1 indexed citations
4.
Baroli, Davide, Pierre‐Yves Rohan, Wafa Skalli, et al.. (2023). Non-operable glioblastoma: Proposition of patient-specific forecasting by image-informed poromechanical model. SHILAP Revista de lepidopterología. 4. 100067–100067. 5 indexed citations
5.
Baroli, Davide, et al.. (2023). Global sensitivity study for irreversible electroporation: Towards treatment planning under uncertainty. Medical Physics. 50(3). 1290–1304. 4 indexed citations
6.
Peters, Bernhard, et al.. (2023). Developing the AM G-code based thermomechanical finite element platform for the analysis of thermal deformation and stress in metal additive manufacturing process. Journal of Mechanical Science and Technology. 37(3). 1103–1112. 3 indexed citations
7.
Maurel-Pantel, Aurélien, Noël Lahellec, Hervé Moulinec, et al.. (2022). Mean-field approximations in effective thermo-viscoelastic behavior for composite parts obtained via fused deposition modeling technology. AIP conference proceedings. 2425. 300009–300009.
8.
Hale, Jack, et al.. (2021). A hyper-reduction method using adaptivity to cut the assembly costs of reduced order models. Computer Methods in Applied Mechanics and Engineering. 380. 113723–113723. 6 indexed citations
9.
Baroli, Davide, et al.. (2021). Isogeometric analysis of multi-patch solid-shells in large deformation. Acta Mechanica Sinica. 37(5). 844–860. 8 indexed citations
10.
Sutula, Danas, Franz Chouly, Arnaud Lejeune, et al.. (2020). An open source pipeline for design of experiments for hyperelastic models of the skin with applications to keloids. Journal of the mechanical behavior of biomedical materials. 112. 103999–103999. 15 indexed citations
11.
Viguerie, Alex, Alessandro Veneziani, Guillermo Lorenzo, et al.. (2020). Diffusion–reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study. Computational Mechanics. 66(5). 1131–1152. 62 indexed citations
12.
13.
Peters, Bernhard, et al.. (2019). Identification of optimal process parameters in selective laser sintering. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
14.
Baroli, Davide, et al.. (2019). Coupled molecular-dynamics and finite-element-method simulations for the kinetics of particles subjected to field-mediated forces. Physical review. E. 99(6). 63307–63307. 1 indexed citations
15.
Baroli, Davide, et al.. (2019). Backflow stabilization by deconvolution-based large eddy simulation modeling. Journal of Computational Physics. 404. 109103–109103. 10 indexed citations
16.
Lorenzi, Stefano, et al.. (2018). A Mass Conservative Kalman Filter Algorithm for Computational Thermo-Fluid Dynamics. Materials. 11(11). 2222–2222. 12 indexed citations
17.
Lorenzi, Stefano, et al.. (2018). Complete Thermal-Hydraulic Modelling of the Pavia TRIGA Mark II Research Reactor for the Study of the Natural Circulation Regime. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–12. 3 indexed citations
18.
Cammi, Antonio, et al.. (2018). Comparison of Several RANS Modelling for the Pavia TRIGA Mark II Research Reactor. Journal of Nuclear Engineering and Radiation Science. 1–9. 3 indexed citations
19.
Baroli, Davide, Antonio Cammi, D. Chiesa, et al.. (2014). Comparison of a Modal Method and a Proper Orthogonal Decomposition approach for multi-group time-dependent reactor spatial kinetics. Annals of Nuclear Energy. 71. 217–229. 38 indexed citations
20.
Baroli, Davide, Alfio Quarteroni, & Ricardo Ruíz-Baier. (2012). Convergence of a stabilized discontinuous Galerkin method for incompressible nonlinear elasticity. Advances in Computational Mathematics. 39(2). 425–443. 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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