Davide Lengani

1.4k total citations
110 papers, 1.1k citations indexed

About

Davide Lengani is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Davide Lengani has authored 110 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Computational Mechanics, 80 papers in Aerospace Engineering and 22 papers in Mechanical Engineering. Recurrent topics in Davide Lengani's work include Fluid Dynamics and Turbulent Flows (77 papers), Turbomachinery Performance and Optimization (64 papers) and Combustion and flame dynamics (41 papers). Davide Lengani is often cited by papers focused on Fluid Dynamics and Turbulent Flows (77 papers), Turbomachinery Performance and Optimization (64 papers) and Combustion and flame dynamics (41 papers). Davide Lengani collaborates with scholars based in Italy, Austria and Belgium. Davide Lengani's co-authors include Daniele Simoni, Marina Ubaldi, Pietro Zunino, Francesco Bertini, Emil Göttlich, Paolo Zunino, Franz Heitmeir, Vittorio Michelassi, Berardo Paradiso and Erik Dick 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

Davide Lengani

106 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Lengani Italy 19 1.0k 815 255 112 94 110 1.1k
Daniele Simoni Italy 20 1.1k 1.1× 838 1.0× 243 1.0× 125 1.1× 94 1.0× 110 1.2k
Marina Ubaldi Italy 18 887 0.9× 717 0.9× 241 0.9× 79 0.7× 40 0.4× 95 975
Vincenzo Dossena Italy 20 753 0.7× 887 1.1× 395 1.5× 300 2.7× 37 0.4× 96 1.3k
Julien Weiss Germany 15 650 0.6× 433 0.5× 116 0.5× 127 1.1× 74 0.8× 112 834
Sylvain Lardeau United Kingdom 21 1.2k 1.2× 860 1.1× 224 0.9× 339 3.0× 82 0.9× 44 1.3k
Renato Tognaccini Italy 19 894 0.9× 666 0.8× 80 0.3× 52 0.5× 43 0.5× 85 1.0k
Daniele Violato Netherlands 7 481 0.5× 331 0.4× 155 0.6× 90 0.8× 71 0.8× 17 541
René Woszidlo Germany 23 1.6k 1.6× 1.6k 2.0× 261 1.0× 133 1.2× 45 0.5× 64 1.8k
Branislav Basara Austria 21 1.0k 1.0× 855 1.0× 110 0.4× 551 4.9× 23 0.2× 104 1.3k
G. A. Gerolymos France 19 1.1k 1.1× 576 0.7× 144 0.6× 141 1.3× 16 0.2× 86 1.2k

Countries citing papers authored by Davide Lengani

Since Specialization
Citations

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

Fields of papers citing papers by Davide Lengani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Lengani

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Lengani. A scholar is included among the top collaborators of Davide Lengani 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 Lengani. Davide Lengani 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
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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
3.
Lengani, Davide, et al.. (2024). The Role of Turbulence Transport in Mechanical Energy Budgets. Journal of Turbomachinery. 146(10). 1 indexed citations
4.
Russo, Mario, et al.. (2024). A High-Performance Code for Analyzing Loss Transport Equations in High-Fidelity Simulations. CINECA IRIS Institutial Research Information System (University of Genoa). 1 indexed citations
5.
Lengani, Davide, et al.. (2024). A Real Time AI-Based Strategy for the Design of a Low-Pressure Turbine Profile. 1 indexed citations
6.
Lavagnoli, Sergio, Filippo Rubechini, Ardeshir Hanifi, et al.. (2024). A Collaborative Framework for Design and Validation of Next-Generation Transonic Low-Pressure Turbines.
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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
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Lengani, Davide, et al.. (2023). A data-driven analysis of short and long laminar separation bubbles. Journal of Fluid Mechanics. 976. 4 indexed citations
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Lengani, Davide, et al.. (2023). Analysis of Unsteady Loss Sensitivity to Incidence Angle Variation in Low Pressure Turbine. CINECA IRIS Institutial Research Information System (University of Genoa). 2 indexed citations
10.
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
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Lengani, Davide, et al.. (2022). On the receptivity of low-pressure turbine blades to external disturbances. Journal of Fluid Mechanics. 937. 9 indexed citations
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Lengani, Davide, et al.. (2021). Data-driven analysis of high fidelity simulation of multi-stage compressor. Proceedings of ... European Conference on Turbomachinery Fluid Dynamics & Thermodynamics. 1 indexed citations
14.
Simoni, Daniele, et al.. (2020). A Bayesian Approach for the Identification of Cascade Loss Model Strategy. 4 indexed citations
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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
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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
20.
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

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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