Daniele Simoni

1.4k total citations
110 papers, 1.2k citations indexed

About

Daniele Simoni is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Daniele Simoni has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Computational Mechanics, 82 papers in Aerospace Engineering and 24 papers in Mechanical Engineering. Recurrent topics in Daniele Simoni's work include Fluid Dynamics and Turbulent Flows (93 papers), Turbomachinery Performance and Optimization (64 papers) and Combustion and flame dynamics (35 papers). Daniele Simoni is often cited by papers focused on Fluid Dynamics and Turbulent Flows (93 papers), Turbomachinery Performance and Optimization (64 papers) and Combustion and flame dynamics (35 papers). Daniele Simoni collaborates with scholars based in Italy, Poland and Sweden. Daniele Simoni's co-authors include Davide Lengani, Marina Ubaldi, Pietro Zunino, Francesco Bertini, Paolo Zunino, Francesca Satta, Vittorio Michelassi, Erik Dick, Sławomir Kubacki and Richard Pichler and has published in prestigious journals such as Journal of Fluid Mechanics, Physics of Fluids and IEEE Transactions on Control Systems Technology.

In The Last Decade

Daniele Simoni

107 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Simoni Italy 20 1.1k 838 243 125 94 110 1.2k
Davide Lengani Italy 19 1.0k 0.9× 815 1.0× 255 1.0× 112 0.9× 94 1.0× 110 1.1k
Marina Ubaldi Italy 18 887 0.8× 717 0.9× 241 1.0× 79 0.6× 40 0.4× 95 975
Sylvain Lardeau United Kingdom 21 1.2k 1.1× 860 1.0× 224 0.9× 339 2.7× 82 0.9× 44 1.3k
Renato Tognaccini Italy 19 894 0.8× 666 0.8× 80 0.3× 52 0.4× 43 0.5× 85 1.0k
Daniele Violato Netherlands 7 481 0.4× 331 0.4× 155 0.6× 90 0.7× 71 0.8× 17 541
J. G. Kawall Canada 15 842 0.8× 620 0.7× 117 0.5× 252 2.0× 72 0.8× 46 957
G. A. Gerolymos France 19 1.1k 1.0× 576 0.7× 144 0.6× 141 1.1× 16 0.2× 86 1.2k
Francesco Bertini Italy 17 597 0.5× 545 0.7× 145 0.6× 26 0.2× 55 0.6× 73 661
Dániel Feszty Canada 14 444 0.4× 569 0.7× 42 0.2× 170 1.4× 55 0.6× 58 739
Daniel Durox France 23 1.6k 1.5× 461 0.6× 73 0.3× 264 2.1× 49 0.5× 48 1.7k

Countries citing papers authored by Daniele Simoni

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Simoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Simoni

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Simoni. A scholar is included among the top collaborators of Daniele Simoni 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 Daniele Simoni. Daniele Simoni 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.
Lengani, Davide, et al.. (2024). Local correlations for predicting the transition process in separated flows tuned with a large experimental database. International Journal of Heat and Fluid Flow. 107. 109392–109392. 1 indexed citations
2.
Lengani, Davide, et al.. (2024). The Role of Turbulence Transport in Mechanical Energy Budgets. Journal of Turbomachinery. 146(10). 1 indexed citations
3.
Simoni, Daniele, et al.. (2024). Stability of low-pressure turbine boundary layers under variable Reynolds number and pressure gradient. Physics of Fluids. 36(3). 1 indexed citations
4.
Satta, Francesca, et al.. (2024). Detailed Characterization of Turbulence Intensity and Dissipation As Boundary Condition for 3D RANS Simulations. CINECA IRIS Institutial Research Information System (University of Genoa).
5.
Lengani, Davide, et al.. (2024). An Experimental Database for the Analysis of Bursting of a Laminar Separation Bubble. International Journal of Turbomachinery Propulsion and Power. 9(1). 3–3. 3 indexed citations
6.
Ghidoni, A., et al.. (2024). Transition model based on the laminar kinetic energy concept for the prediction of all transition modes. International Journal of Heat and Fluid Flow. 112. 109680–109680. 1 indexed citations
7.
Lengani, Davide, et al.. (2023). A data-driven analysis of short and long laminar separation bubbles. Journal of Fluid Mechanics. 976. 4 indexed citations
8.
Lengani, Davide, et al.. (2022). Identification of free-stream and boundary layer correlating events in free-stream turbulence-induced transition. Physics of Fluids. 34(1). 9 indexed citations
9.
Lengani, Davide, et al.. (2022). On the receptivity of low-pressure turbine blades to external disturbances. Journal of Fluid Mechanics. 937. 9 indexed citations
10.
Simoni, Daniele, et al.. (2022). A procedure for computing the spot production rate in transitional boundary layers. Experiments in Fluids. 63(8). 2 indexed citations
11.
12.
Simoni, Daniele, et al.. (2020). A Bayesian Approach for the Identification of Cascade Loss Model Strategy. 4 indexed citations
13.
Lengani, Davide, Daniele Simoni, Sławomir Kubacki, & Erik Dick. (2020). Analysis and modelling of the relation between the shear rate and Reynolds stress tensors in transitional boundary layers. International Journal of Heat and Fluid Flow. 84. 108615–108615. 5 indexed citations
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Alessandri, A., Patrizia Bagnerini, Mauro Gaggero, Davide Lengani, & Daniele Simoni. (2018). Moving Horizon Trend Identification Based on Switching Models for Data Driven Decomposition of Fluid Flows. CINECA IRIS Institutial Research Information System (University of Genoa). 2138–2143. 3 indexed citations
17.
Lengani, Davide, et al.. (2015). POD Analysis of the Wake-Boundary Layer Unsteady Interaction in a LPT Blade Cascade. CINECA IRIS Institutial Research Information System (University of Genoa). 4 indexed citations
18.
Simoni, Daniele, Marina Ubaldi, & Pietro Zunino. (2015). A Simplified Model Predicting the Kelvin–Helmholtz Instability Frequency for Laminar Separated Flows. Journal of Turbomachinery. 138(4). 16 indexed citations
19.
Lengani, Davide, Daniele Simoni, Marina Ubaldi, Pietro Zunino, & Francesco Bertini. (2011). Turbulent boundary layer separation control and loss evaluation of low profile vortex generators. Experimental Thermal and Fluid Science. 35(8). 1505–1513. 25 indexed citations
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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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